Mô tả

In This Course, Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects With Python (Flask, Django, Heroku, AWS, Azure, GCP, IBM Watson, Streamlit Cloud).


According to Glassdoor, the average salary for a Data Scientist is $117,345/yr. This is above the national average of $44,564. Therefore, a Data Scientist makes 163% more than the national average salary.

This makes Data Science a highly lucrative career choice. It is mainly due to the dearth of Data Scientists resulting in a huge income bubble.

Since Data Science requires a person to be proficient and knowledgeable in several fields like Statistics, Mathematics, and Computer Science, the learning curve is quite steep. Therefore, the value of a Data Scientist is very high in the market.

A Data Scientist enjoys a position of prestige in the company. The company relies on its expertise to make data-driven decisions and enable them to navigate in the right direction.

Furthermore, the role of a Data Scientist depends on the specialization of his employer company. For example – A commercial industry will require a data scientist to analyze their sales.

A healthcare company will require data scientists to help them analyze genomic sequences. The salary of a Data Scientist depends on his role and type of work he has to perform. It also depends on the size of the company which is based on the amount of data they utilize.

Still, the pay scale of Data scientists is way above other IT and management sectors. However, the salary observed by Data Scientists is proportional to the amount of work that they must put in. Data Science needs hard work and requires a person to be thorough with his/her skills.

Due to several lucrative perks, Data Science is an attractive field. This, combined with the number of vacancies in Data Science makes it an untouched gold mine. Therefore, you should learn Data Science in order to enjoy a fruitful career.


In This Course, We Are Going To Work On 120 Real World Projects Listed Below:


Project-1: Pan Card Tempering Detector App -Deploy On Heroku

Project-2: Dog breed prediction Flask App

Project-3: Image Watermarking App -Deploy On Heroku

Project-4: Traffic sign classification

Project-5: Text Extraction From Images Application

Project-6: Plant Disease Prediction Streamlit App

Project-7: Vehicle Detection And Counting Flask App

Project-8: Create A Face Swapping Flask App

Project-9: Bird Species Prediction Flask App

Project-10: Intel Image Classification Flask App


Project-11: Language Translator App Using IBM Cloud Service -Deploy On Heroku

Project-12: Predict Views On Advertisement Using IBM Watson -Deploy On Heroku

Project-13: Laptop Price Predictor -Deploy On Heroku

Project-14: WhatsApp Text Analyzer -Deploy On Heroku

Project-15: Course Recommendation System -Deploy On Heroku

Project-16: IPL Match Win Predictor -Deploy On Heroku

Project-17: Body Fat Estimator App -Deploy On Microsoft Azure

Project-18: Campus Placement Predictor App -Deploy On Microsoft Azure

Project-19: Car Acceptability Predictor -Deploy On Google Cloud

Project-20: Book Genre Classification App -Deploy On Amazon Web Services


Project 21 : DNA classification for finding E.Coli - Deploy On AWS

Project 22 : Predict the next word in a sentence. - AWS - Deploy On AWS

Project 23 : Predict Next Sequence of numbers using LSTM - Deploy On AWS

Project 24 : Keyword Extraction from text using NLP - Deploy On Azure

Project 25 : Correcting wrong spellings - Deploy On Azure

Project 26 : Music popularity classification - Deploy On Google App Engine

Project 27 : Advertisement Classification - Deploy On Google App Engine

Project 28 : Image Digit Classification - Deploy On AWS

Project 29 : Emotion Recognition using Neural Network - Deploy On AWS

Project 30 : Breast cancer Classification - Deploy On AWS


Project-31: Sentiment Analysis Django App -Deploy On Heroku

Project-32: Attrition Rate Django Application

Project-33: Find Legendary Pokemon Django App -Deploy On Heroku

Project-34: Face Detection Streamlit App

Project-35: Cats Vs Dogs Classification Flask App

Project-36: Customer Revenue Prediction App -Deploy On Heroku

Project-37: Gender From Voice Prediction App -Deploy On Heroku

Project-38: Restaurant Recommendation System

Project-39: Happiness Ranking Django App -Deploy On Heroku

Project-40: Forest Fire Prediction Django App -Deploy On Heroku


Project-41: Build Car Prices Prediction App -Deploy On Heroku

Project-42: Build Affair Count Django App -Deploy On Heroku

Project-43: Build Shrooming Predictions App -Deploy On Heroku

Project-44: Google Play App Rating prediction With Deployment On Heroku

Project-45: Build Bank Customers Predictions Django App -Deploy On Heroku

Project-46: Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku

Project-47: Build Medical Cost Predictions Django App -Deploy On Heroku

Project-48: Phishing Webpages Classification Django App -Deploy On Heroku

Project-49: Clothing Fit-Size predictions Django App -Deploy On Heroku

Project-50: Build Similarity In-Text Django App -Deploy On Heroku


Project-51: Black Friday Sale Project

Project-52: Sentiment Analysis Project

Project-53: Parkinson’s Disease Prediction Project

Project-54: Fake News Classifier Project

Project-55: Toxic Comment Classifier Project

Project-56: IMDB Movie Ratings Prediction

Project-57: Indian Air Quality Prediction

Project-58: Covid-19 Case Analysis

Project-59: Customer Churning Prediction

Project-60: Create A ChatBot


Project-61: Video Game sales Analysis

Project-62: Zomato Restaurant Analysis

Project-63: Walmart Sales Forecasting

Project-64 : Sonic wave velocity prediction using Signal Processing Techniques

Project-65 : Estimation of Pore Pressure using Machine Learning

Project-66 : Audio processing using ML

Project-67 : Text characterisation using Speech recognition

Project-68 : Audio classification using Neural networks

Project-69 : Developing a voice assistant

Project-70 : Customer segmentation


Project-71 : FIFA 2019 Analysis

Project-72 : Sentiment analysis of web scrapped data

Project-73 : Determining Red Vine Quality

Project-74 : Customer Personality Analysis

Project-75 : Literacy Analysis in India

Project-76: Heart Attack Risk Prediction Using Eval ML (Auto ML)

Project-77: Credit Card Fraud Detection Using Pycaret (Auto ML)

Project-78: Flight Fare Prediction Using Auto SK Learn (Auto ML)

Project-79: Petrol Price Forecasting Using Auto Keras

Project-80: Bank Customer Churn Prediction Using H2O Auto ML


Project-81: Air Quality Index Predictor Using TPOT With End-To-End Deployment (Auto ML)

Project-82: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)

Project-83: Pizza Price Prediction Using ML And EVALML(Auto ML)

Project-84: IPL Cricket Score Prediction Using TPOT (Auto ML)

Project-85: Predicting Bike Rentals Count Using ML And H2O Auto ML

Project-86: Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)

Project-87: Bangalore House Price Prediction Using Auto SK Learn (Auto ML)

Project-88: Hospital Mortality Prediction Using PyCaret (Auto ML)

Project-89: Employee Evaluation For Promotion Using ML And Eval Auto ML

Project-90: Drinking Water Potability Prediction Using ML And H2O Auto ML


Project-91: Image Editor Application With OpenCV And Tkinter

Project-92: Brand Identification Game With Tkinter And Sqlite3

Project-93: Transaction Application With Tkinter And Sqlite3

Project-94: Learning Management System With Django

Project-95: Create A News Portal With Django

Project-96: Create A Student Portal With Django

Project-97: Productivity Tracker With Django And Plotly

Project-98: Create A Study Group With Django

Project-99: Building Crop Guide Application with PyQt5, SQLite

Project-100: Building Password Manager Application With PyQt5, SQLite


Project-101: Create A News Application With Python

Project-102: Create A Guide Application With Python

Project-103: Building The Chef Web Application with Django, Python

Project-104: Syllogism-Rules of Inference Solver Web Application

Project-105: Building Vision Web Application with Django, Python

Project-106: Building Budget Planner Application With Python

Project-107: Build Tic Tac Toe Game

Project-108: Random Password Generator Website using Django

Project-109: Building Personal Portfolio Website Using Django

Project-110: Todo List Website For Multiple Users


Project-111: Crypto Coin Planner GUI Application

Project-112: Your Own Twitter Bot -python, request, API, deployment, tweepy

Project-113: Create A Python Dictionary Using python, Tkinter, JSON

Project-114: Egg-Catcher Game using python

Project-115: Personal Routine Tracker Application using python

Project-116: Building Screen -Pet using Tkinter & Canvas

Project-117: Building Caterpillar Game Using Turtle and Python

Project-118: Building Hangman Game Using Python

Project-119: Developing our own Smart Calculator Using Python and Tkinter

Project-120: Image-based steganography Using Python and pillows


Tip: Create A 60 Days Study Plan Or 120 Day Study Plan, Spend 1-3hrs Per Day, Build 120 Projects In 60 Days Or  120 Projects In 120 Days.


The Only Course You Need To Become A Data Scientist, Get Hired And Start A New Career


Note (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.

Bạn sẽ học được gì

Make powerful analysis, Make robust Machine Learning models

Master Machine Learning on Python

Know which Machine Learning model to choose for each type of problem

Implement Machine Learning Algorithms

Explore how to deploy your machine learning models.

Understand the full product workflow for the machine learning lifecycle.

Present Data Science projects to management

Real life case studies and projects to understand how things are done in the real world

Build a portfolio of work to have on your resume

Yêu cầu

  • Basic knowledge of machine learning

Nội dung khoá học

122 sections

Introduction To The Course

4 lectures
Course Introduction
02:25
Course Outline Video
01:15
Course Bonuses: Cheat Sheets, Downloads, Mind maps, Guides.
00:47
Udemy Course Feedback Info
00:14

Project-1: Pan Card Tempering Detector App -Deploy On Heroku

8 lectures
Introduction To Pan Card Tempering Detector
01:40
Loading libraries and dataset
03:49
Creating the pancard detector with opencv
12:18
Creating the Flask App
03:39
Creating Important functions
04:45
Deploy the app in Heroku
05:34
Testing the deployed pan card detector
01:46
Download The Project Files
00:01

Project-2: Dog breed prediction Flask App

8 lectures
Introduction to dog breed prediction
01:52
Importing the data and libraries
06:05
Data Preprocessing
03:00
Build and Train Model
06:57
Testing the model
02:18
Creating the Flask App
06:29
Running the app in system
04:02
Download The Project Files
00:01

Project-3: Image Watermarking App -Deploy On Heroku

6 lectures
Introduction Image Watermarking
02:00
Importing libraries and logo
02:40
Create text and image watermark
08:36
Creating the app
13:05
Deploying the app in Heroku
05:18
Download The Project Files
00:01

Project-4: Traffic sign classification

6 lectures
Introduction to traffic sign classification
03:17
Importing the data and libraries
05:45
Image processing
04:12
Creating and testing the model
06:50
Creating model for test set
05:06
Download The Project Files
00:01

Project-5: Text Extraction From Images Application

7 lectures
Introduction to text extraction
02:09
Importing libraries and data
03:35
Extracting the test from image
04:16
Modifiying the extractor
07:47
creating the extractor app
08:10
Running the extractor app
02:09
Download The Project Files
00:01

Project-6: Plant Disease Prediction

6 lectures
Introduction
03:49
Importing libraries and data
03:38
Understanding the data and data preprocessing
04:56
Model building
07:23
Creating an app using streamlit
11:18
Download the project files
00:01

Project-7: Detect and count vehicles

5 lectures
Introduction
03:01
Importing libraries and data
03:00
Transforming Images and creating output
10:43
Creating a Flask app
17:17
Download the project files
00:01

Project-8: Create A Face Swapping Flask App

5 lectures
Intro to Face Swap
02:29
Importing libraries and data
04:22
Data preprocessing and creating output
13:59
Creating A Flask App
14:39
Download The Project Files
00:01

Project-9: Bird Species Prediction Flask App

6 lectures
Introduction to Bird Species Prediction
02:31
Improting Libraries And Data
06:04
Data processing
03:27
Creating ML Model
10:06
Creating A Flask App
13:17
Download The Project Files
00:01

Project-10: Intel Image Classification Flask App

5 lectures
Introduction to Intel Image Classification
02:55
Importing and processing data
07:01
Creating a Model
08:44
Creating a Flask App
12:17
Download The Project Files
00:01

Project-11: Language Translator App Using IBM Cloud Service -Deploy On Heroku

6 lectures
Introduction
03:36
Setting Service
02:42
Integrating Service
08:22
Coding the UI
14:02
Deployment on Heroku
11:52
Download The Project Files
00:01

Project-12: Predict Views On Advertisement Using IBM Watson -Deploy On Heroku

8 lectures
Project Overview
02:24
Introduction
04:29
Setting up Watson Studio Part-1
09:33
Setting up Watson Studio Part-2
07:15
Deploying the Model on Deployment Center
05:01
Integrating Watson Service with UI
12:00
Deployment on Heroku Cloud
13:25
Download The Project Files
00:01

Project-13: Laptop Price Predictor -Deploy On Heroku

16 lectures
Overview
04:10
EDA Part-1
04:58
EDA Part-2
11:53
EDA Part-3
09:08
EDA Part-4
11:11
EDA Part-5
12:48
EDA Part-6
17:06
EDA Part-7
14:35
Model Building Part-1
20:24
Model Building Part-2
13:56
Model Building Part-3
15:16
Model Building Part-4
09:52
Model Building Part-5
02:10
Integrating with UI
15:23
Deployment on Heroku
09:36
Download The Project Files
00:01

Project-14: WhatsApp Text Analyzer -Deploy On Heroku

15 lectures
Introduction
06:25
Fetching Data from Whatsapp
02:38
Project Structure
07:36
Text Processing Part 1
11:08
Text Processing Part2
14:36
Text Processing Part 3
05:54
Text Processing Part4
14:11
Text Analytics Part 1
12:36
Text Analytics Part 2
10:32
Text Analytics Part 3
12:36
Text Analytics Part4
12:12
Text Analytics Part5
11:43
Text Analytics Part 6
07:56
Deployment on Heroku Cloud
10:37
Download The Project Files
00:01

Project-15: Course Recommendation System -Deploy On Heroku

7 lectures
Introduction
03:40
Coding Recommendation System
12:42
Integrating with Flask Server
14:49
Exploratory Data Analysis
07:38
Integrating Python Code with JavaScript
09:27
Deployment on Heroku Cloud
07:50
Download The Project Files
00:01

Project-16: IPL Match Win Predictor -Deploy On Heroku

9 lectures
Introduction
04:55
EDA Part 1
12:30
EDA Part 2
07:04
EDA Part 3
12:29
EDA Part 4
09:30
Model Building
14:43
Coding the UI
10:13
Deployment on Heroku Cloud
14:24
Download The Project Files
00:01

Project-17: Body Fat Estimator App -Deploy On Microsoft Azure

12 lectures
Introduction
03:48
EDA Part 1
08:55
EDA Part 2
11:09
Feature Selection Part 1
11:25
Feature Selection Part 2
05:28
Model Building
06:13
Model Evaluation
05:48
Coding the UI Part 1
10:09
Coding the UI Part 2
11:08
Model Deployment on Azure Part 1
12:43
Model Deployment on Azure Part 2
02:47
Download The Project Files
00:01

Project-18: Campus Placement Predictor App -Deploy On Microsoft Azure

13 lectures
Introduction
04:33
Data Preprocessing
09:30
EDA Part 1
10:26
EDA Part 2
07:56
Feature Selection
13:57
Model Building
05:08
Hyper Parameter Tuning, Model Testing
14:55
Coding the UI Part 1
06:22
Coding the UI Part 2
09:21
Coding the UI Part 3
12:40
Deployment Part 1
14:21
Deployment Part 2
02:00
Download The Project Files
00:01

Project-19: Car Acceptability Predictor -Deploy On Google Cloud

8 lectures
Introduction
04:54
Data Preprocessing
11:44
Model Building
08:31
Coding the UI
13:30
Integrating Jinja Framework
11:52
Integrating JavaScript with Flask
07:17
Deployment on Google Cloud Platform
16:46
Download The Project Files
00:01

Project-20: Book Genre Classification App -Deploy On Amazon Web Services

10 lectures
Introduction
03:35
Text Processing Part1
10:19
Text Processing Part2
10:29
Model Building
10:24
Model Testing
06:01
Integrating Model with Flask
11:11
Touch points on AWS
12:13
Deploying model on AWS EC2 instance
28:38
Fixing the Errors
03:07
Download The Project Files
00:01

Project 21 : DNA classification for finding E.Coli - Deploy On AWS

11 lectures
Introduction to project
05:00
Understanding the libraries and dataset
11:58
Preprocessing the data
21:12
Building and training the model
11:02
Understanding MLP Classifier model
16:06
Understanding the Django framework
16:55
Running our Django application
13:39
Hosting on AWS
21:56
Hosting on AWS 2
12:04
Hosting on AWS 3
12:47
Download The Project Files
00:01

Project 22 : Predict the next word in a sentence. - AWS - Deploy On AWS

9 lectures
Introduction
04:03
Understanding about libraries and preprocessing dataset
11:43
Text tokenization and vectorization
17:02
Building and training the model
11:57
Django framework
10:50
Setting up the website and understanding the flow
18:04
Understanding the AWS cloud system
19:20
Setting up the server and hosting the website
20:40
Download The Project Files
00:01

Project 23 : Predict Next Sequence of numbers using LSTM - Deploy On AWS

8 lectures
Introduction
05:23
Understanding the libraries and dataset
12:36
Building and training the model
13:20
Understanding the Django Framework
16:01
Working with the django framework to build the website
15:29
Instantiating the instance with ec2
15:05
Setting and running the server
26:36
Download The Project Files
00:01

Project 24 : Keyword Extraction from text using NLP - Deploy On Azure

8 lectures
Introduction
06:54
Introduction to libraries and data preprocessing
14:54
Developing the TF-IDF model
18:47
Understanding the django framework
15:20
Finalizing the website
14:07
Setting up the Azure VM
21:03
Setting and running the server
20:12
Download The Project Files
00:01

Project 25 : Correcting wrong spellings - Deploy On Azure

8 lectures
Introduction
05:31
Brief of libraries and preprocessing
18:54
Developing the NLP model
15:43
Setting up the django application
14:33
Working on the django website
13:31
Creating the VM instance on Azure
21:30
Setting up the VM for hosting
14:58
Download The Project Files
00:01

Project 26 : Music popularity classification - Deploy On Google App Engine

10 lectures
Introduction
03:53
Creating dataset through spotify API
15:51
Understanding the libraries and preprocessing the data
10:46
Developing the model
15:29
Setting up the django project
13:40
Running our django application
14:07
Setting up the VM
10:04
Setting up the VM part-2
16:46
Setting the code in VM
18:26
Download The Project Files
00:01

Project 27 : Advertisement Classification - Deploy On Google App Engine

10 lectures
Introduction
04:45
Understanding the libraries and the dataset
17:47
Understanding TF-IDF
12:12
Developing the LSTM model
11:19
Configuring the django project
16:39
Running the django application
13:06
Setting up the VM part-1
14:09
Setting up the VM part-2
11:26
Running the VM
14:41
Download The Project Files
00:01

Project 28 : Image Digit Classification - Deploy On AWS

8 lectures
Introduction
04:23
Creating and preprocessing the dataset
19:38
Building the baseline and CNN model
11:17
Setting up the django application
15:47
updating the website
15:51
Instantiating the VM
16:51
setting the code inside the VM
14:44
Download The Project Files
00:01

Project 29 : Emotion Recognition using Neural Network - Deploy On AWS

8 lectures
Introduction
03:14
Understanding the libraries and model
12:29
Building and training the model
12:57
Setting up the django project
16:15
Running the django application
15:09
Setting up the VM
17:33
Running our code in the VM
17:25
Download The Project Files
00:01

Project 30 : Breast cancer Classification - Deploy On AWS

8 lectures
Introduction
05:21
Understanding the libraries and dataset
15:49
Developing the model
15:32
Setting up the django application
14:26
Running the django application
12:45
Setting up the VM
18:59
Running the VM
13:41
Download The Project Files
00:01

Project-31: Sentiment Analysis Django App -Deploy On Heroku

5 lectures
Introduction to Sentiment Analysis -Logistic Regression
02:08
Project Notebook Google Colab
18:31
Building Django App
10:55
Deploying App in Heroku
12:36
Download The Project Files
00:01

Project-32: Attrition Rate Django Application

5 lectures
Introduction
02:27
Creating Colab Notebook
27:31
Creating Django App
10:59
Deploying App in heroku
09:52
Download The Project Files
00:01

Project-33: Find Legendary Pokemon Django App -Deploy On Heroku

5 lectures
Introduction
02:34
Creating Colab Notebook
20:00
Creating Django App
12:34
Deploying App in heroku
09:02
Download The Project Files
00:01

Project-34: Face Detection Streamlit App

5 lectures
Introduction to face app
02:44
Creating The Face App 1
14:53
Creating The face app 2
10:15
Creating The face app 3
13:14
Download The Project Files
00:01

Project-35: Cats Vs Dogs Classification Flask App

6 lectures
Introduction To Cats Vs Dogs Classification
03:05
Creating Project Notebook
25:55
Building Model
08:45
Building Flask App
07:00
Building Flask App Deployment
09:54
Download The Project Files
00:01

Project-36: Customer Revenue Prediction App -Deploy On Heroku

5 lectures
Introduction To Customer Revenue Prediction
02:55
Colab Notebook
22:58
Creating Flask App
14:23
Deploying Flask App
09:16
Download The Project Files
00:01

Project-37: Gender From Voice Prediction App -Deploy On Heroku

5 lectures
Introduction
02:19
Creating Project Notebook
25:22
Creating Project App Django
12:46
Deploying The App
08:40
Download The Project Files
00:01

Project-38: Restaurant Recommendation System

5 lectures
INtroduction
04:22
Creating Colab Notebook
14:05
Exploratory Data Analysis
10:38
Data Analysis 2
31:57
Download The Project Files
00:01

Project-39: Happiness Ranking Django App -Deploy On Heroku

5 lectures
Introduction to Happiness Ranking
03:27
Project Notebook
28:38
Creating Django
17:36
Deploying Django App
08:50
Download The Project Files
00:01

Project-40: Forest Fire Prediction Django App -Deploy On Heroku

6 lectures
Introduction To Forest Fire
04:27
Project Notebook
25:53
Project Notebook Part 2
08:22
Creating Django App
15:16
Deploying Django App
09:15
Download The Project Files
00:01

Project-41: Build Car Prices Prediction App -Deploy On Heroku

8 lectures
Introduction
02:40
Machine Learning model building part1
07:20
Machine Learning model building part2
11:53
Machine Learning model building part3
13:40
Creating Django Application part1
12:18
Creating Django Application part2
08:21
Deploying on Heroku
08:36
Download The Project Files
00:01

Project-42: Build Affair Count Django App -Deploy On Heroku

8 lectures
Introduction
03:07
Intoductory Machine Learning model building
12:27
Feature Building and Selection
14:16
Model Building
05:40
Django Application Introduction
07:07
Django Application building
15:13
Deploying on Heroku
06:35
Download The Project Files
00:01

Project-43: Build Shrooming Predictions App -Deploy On Heroku

6 lectures
Introduction
02:57
Importing libraries and Understanding data
16:48
Building the model
09:57
Building Django Application
15:51
Deploying on Heroku
07:59
Download The Project Files
00:01

Project-44: Google Play App Rating prediction With Deployment On Heroku

7 lectures
Introduction
02:47
Introduction to libraries and dataset
14:56
Preprocessing the data
10:01
Building the model
07:13
Django Application
14:57
Deploying to Heroku
07:17
Download The Project Files
00:01

Project-45: Build Bank Customers Predictions Django App -Deploy On Heroku

6 lectures
Introduction
03:07
Importing Libraries and understanding data
15:21
Building and training the model
13:08
Django Application
14:01
Deploying on heroku
07:21
Download The Project Files
00:01

Project-46: Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku

6 lectures
Introduction
03:28
Understanding the data
13:34
Outliers and Model
17:15
Building Django Application
15:24
Deploying to Heroku
07:55
Download The Project Files
00:01

Project-47: Build Medical Cost Predictions Django App -Deploy On Heroku

6 lectures
Introduction
02:34
Introduction and handling the data
17:03
Building the model
06:18
Django Application
13:25
Heroku Deployment
06:36
Download The Project Files
00:01

Project-48: Phishing Webpages Classification Django App -Deploy On Heroku

6 lectures
Introduction
03:01
Understanding the data
14:00
Feature Selection and model building
09:18
Django Application
15:25
Deploying on Heroku
07:59
Download The Project Files
00:01

Project-49: Clothing Fit-Size predictions Django App -Deploy On Heroku

7 lectures
Introduction
03:46
Understanding the data
10:17
Cleaning the data
15:05
Building the model
10:09
Implementing Django Application
13:30
Deploying to heroku
07:39
Download The Project Files
00:01

Project-50: Build Similarity In-Text Django App -Deploy On Heroku

6 lectures
Introduction
05:40
Cleaning the data
12:29
Building the model
17:17
Implementing Django web application
16:25
Deploying to Heroku
09:04
Download The Project Files
00:01

Project-51: Black Friday Sale Project

6 lectures
Importing libraries and data
04:21
Understanding data
03:54
Data visulaization and data preprocessing
12:04
Model building part1
05:40
Model building part2
06:19
Download The Project Files
00:01

Project-52: Sentiment Analysis Project

6 lectures
Importing libraries and data
07:30
Text normalization
07:04
Lemmatization
04:21
Data preprocessing
10:43
Model Building
10:22
Download The Project Files
00:01

Project-53: Parkinson’s Disease Prediction Project

6 lectures
Importing libraries and data
04:27
Understanding the data
08:07
data visualization
07:28
Model building part 1
09:08
Model building part 2
11:40
Download The Project Files
00:01

Project-54: Fake News Classifier Project

6 lectures
Importing libraries and data
03:40
data preprocessing
03:36
Text cleaning
07:07
Vectorizer
02:11
Model Building
13:34
Download The Project Files
00:01

Project-55: Toxic Comment Classifier Project

7 lectures
Importing libraries and data
07:00
Understanding data
04:40
data visualization and preprocessing
09:21
Balancing the target column
06:48
Model building
10:42
Model evaluation
06:27
Download The Project Files
00:01

Project-56: IMDB Movie Ratings Prediction

6 lectures
Importing libraries and data
12:35
Understanding data
10:54
data visualization
08:01
data preprocessing
07:49
Model building
12:49
Download The Project Files
00:01

Project-57: Indian Air Quality Prediction

8 lectures
Importing libraries & data
07:46
Understanding data
07:40
data visualization
07:46
data preprocessing
07:46
Feature Engineering
11:16
Model building part1
11:50
Model building part2
05:18
Download The Project Files
00:01

Project-58: Covid-19 Case Analysis

5 lectures
Importing libraries and data
06:52
data preprocessing
09:50
Data Analysis part1
11:22
Data Analysis part2
12:36
Download The Project Files
00:01

Project-59: Customer Churning Prediction

6 lectures
Importing libraries and data
13:41
Understanding data
06:13
data visualization
16:39
Model building
13:18
Hyper tuning
08:28
Download The Project Files
00:01

Project-60: Create A ChatBot

6 lectures
Importing libraries and data
04:14
Understanding data
06:41
data visualization
07:12
text normalization
10:34
Creating a chatbot application
07:59
Download The Project Files
00:01

Project-61: Video Game sales Analysis

6 lectures
Intro To Video Games sales
03:57
colab part 1
26:21
colab part 2
05:56
Django App
18:09
Heroku App Deployment
09:25
Download The Project Files
00:01

Project-62: Zomato Restaurant Analysis

2 lectures
Zomato Restaurant Analysis
37:58
Download The Project Files
00:01

Project-63: Walmart Sales Forecasting

2 lectures
Walmart Sales Forecasting
59:13
Download The Project Files
00:01

Project-64: Sonic wave velocity prediction using Signal Processing Techniques

8 lectures
Introduction to the project
06:15
Importing Libraries and DataSet
05:46
Data Analysis and Preparation
08:19
Building ML Model
07:03
Evaluating ML Model
05:36
Performing Wavelet Transformation
11:34
Building and Evaluation of model with transformed data
06:56
Download The Project Files
00:01

Project-65: Estimation of Pore Pressure using Machine Learning

7 lectures
Introduction to the project
07:26
Importing Libraries and Dataset
05:39
Data Analysis
08:24
Data Preprocessing
07:45
Building ML Models
11:51
Hyper tuning the models and results
09:08
Download The Project Files
00:01

Project-66: Audio processing using ML

7 lectures
Introduction to the Project
05:27
Importing and reading Audio file
09:50
Extracting Time-Domain features-1
09:58
Extracting Time-Domain features-2
07:14
Fourier Transform and it_s applications-1
10:40
Fourier Transform and Frequency Domain features
06:45
Download The Project Files
00:01

Project-67 : Text characterisation using Speech recognition

5 lectures
Introduction to the Project
03:57
Importing Libraries and Audio Files
04:45
Performing Speech Recognition
09:17
Performing Text Analysis
07:53
Download The Project Files
00:01

Project-68 : Audio classification using Neural networks

7 lectures
Introduction to the project
04:33
Importing Libraries and Audio Files
05:53
Extracting audio features 1
08:02
Extracting audio features 2
05:19
Model Development 1
04:27
Model Development 2
05:06
Download The Project Files
00:01

Project-69 : Developing a voice assistant

6 lectures
Introduction to the project
04:16
Importing Libraries
06:00
Writing Greet function
04:38
Writing Command function
05:10
Assigning tasks to the AI
11:37
Download The Project Files
00:01

Project-70 : Customer segmentation

6 lectures
Introduction to the Project
03:58
Importing Libraries and Dataset
03:58
Data Analysis
11:15
Data Preprocessing
07:07
Performing Clustering
08:14
Download The Project Files
00:01

Project-71 : FIFA 2019 Analysis

7 lectures
Introduction to the project
04:15
Importing Libraries and Dataset
04:26
Analyzing Age Parameter-1
08:25
Analyzing Age Parameter-2
06:56
Analyzing Top Players
06:09
Finding Top skills and Building own team
05:13
Download The Project Files
00:01

Project-72 : Sentiment analysis of web scrapped data

6 lectures
Introduction to the Project
04:03
Importing Libraries and Dataset
06:20
Performing Web Scraping
11:23
Data Preprocessing
08:11
Performing Sentiment Analysis
10:06
Download The Project Files
00:01

Project-73 : Determining Red Vine Quality

6 lectures
Introduction to the Project
04:01
Importing Libraries
03:19
Data Analysis
09:12
Predicting quality using Labels
04:33
Classifying Good or Bad Wine
04:30
Download The Project Files
00:01

Project-74 : Customer Personality Analysis

7 lectures
Introduction to the Project
03:16
Importing Libraries
04:10
Data Analysis
08:40
Data Cleaning and Feature Engineering
06:51
Performing Clustering using K Means Clustering
06:19
Using Supervised Learning Algorithms
04:51
Download The Project Files
00:01

Project-75 : Literacy Analysis in India

7 lectures
Introduction to the Project
04:07
Importing Libraries and Dataset
04:21
Population Analysis in India
06:18
Schools in India
04:05
Literacy rate Analysis in India
06:21
Finding out the best state in terms of Literacy
05:32
Download The Project Files
00:01

Project-76: Heart Attack Risk Prediction Using Eval ML (Auto ML)

7 lectures
Introduction to the Project
03:06
Importing Libraries and Datasets
02:24
Data Analysis
07:44
Model Building Part 1
06:15
Model Building Part 2
04:29
Model building and Predictions using Auto ML(Eval ML)
07:45
Download The Project Files
00:01

Project-77: Credit Card Fraud Detection Using Pycaret (Auto ML)

6 lectures
Introduction to the Project
04:41
Importing Libraries and DataSet
03:17
Data Analysis
07:02
Model Building using ML
07:42
Model Building and Prediction using PyCaret(AutoML)
10:20
Download The Project Files
00:01

Project-78: Flight Fare Prediction Using Auto SK Learn (Auto ML)

9 lectures
Introduction to the Project
04:07
Importing Libraries and DataSet
05:24
Data Analysis
05:30
Feature Engineering 1
05:44
Feature Engineering 2
06:42
Feature Selection
03:53
Model Building using ML
06:19
Model Building and Prediction using Auto SK Learn
05:48
Download The Project Files
00:01

Project-79: Petrol Price Forecasting Using Auto Keras

7 lectures
Introduction to the Project
05:03
Importing Libraries and Data Set
03:09
Data Analysis and splitting of Data
07:44
Data Preprocessing
05:56
Model Building and Prediction using LSTM model
03:57
Model Building and prediction using ARIMA and Auto Keras
05:24
Download The Project Files
00:01

Project-80: Bank Customer Churn Prediction Using H2O Auto ML

7 lectures
Introduction to the Project
06:06
Importing Libraries and Data Set
04:04
Data Analysis
11:48
Feature Engineering
07:32
Model Building and Prediction using ANN
05:43
Model Building and Prediction using H2O Auto ML(Auto ML)
11:11
Download The Project Files
00:01

Project-81: Air Quality Index Predictor Using TPOT With End-To-End Deployment (A

9 lectures
Introduction to the Project
05:50
Importing Libraries and Data sets
04:05
Data Analysis
09:44
Feature Engineering
05:26
Model Building using ML- 1
09:34
Model Building using ML- 2
05:30
Model Building and Predictions using TPOT Library( Auto ML).
06:22
Deployment of Model using Flask API
11:15
Download The Project Files
00:01

Project-82: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)

10 lectures
Introduction to the Project
03:17
Importing Libraries and DataSet
05:46
Data Analysis and Handling Missing Values- 1
05:54
Data Analysis and Handling Missing Values- 2
06:48
Feature Engineering
08:38
Model Building using ML Algorithms
08:36
Model Building and Prediction using PyCaret(AutoML)
08:10
Using FLASK API
06:37
Deploying model using Heroku
05:19
Download The Project Files
00:01

Project-83: Pizza Price Prediction Using ML And EVALML(Auto ML)

7 lectures
Introduction to the project
04:26
Importing Libraries and DataSet
04:56
Data Analysis
10:00
Feature Engineering
06:17
Model Building using ML models
07:29
Model Building and Prediction using EVAL ML(Auto ML)
11:33
Download The Project Files
00:01

Project-84: IPL Cricket Score Prediction Using TPOT (Auto ML)

8 lectures
Introduction to the Project
05:02
Importing Libraries and DataSet
05:57
Data Analysis and Cleaning
07:10
Data Preprocessing
08:43
Model Building using ML Algorithms
08:50
Model Building using TPOT Auto ML Library-1
05:35
Model Building using TPOT Auto ML Library-2
03:32
Download The Project Files
00:01

Project-85: Predicting Bike Rentals Count Using ML And H2O Auto ML

9 lectures
Introduction to the Project
07:00
Importing libraries and DataSet
04:42
Data Analysis and Cleaning -1
10:00
Data Analysis and Cleaning -2
06:09
Data Preprocessing
03:46
Data Preprocessing
03:37
Model Building and Prediction using ML
05:38
Model Building and Prediction using H2O Auto ML Library
08:40
Download The Project Files
00:01

Project-86: Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)

7 lectures
Introduction to the Project
02:47
Importing Libraries and Data Set
03:13
Data Analysis
09:50
Feature Engineering
05:42
Model Building and Prediction using Deep Learning
05:47
Model Building and Prediction using Auto Keras (Auto ML)
08:22
Download The Project Files
00:01

Project-87: Bangalore House Price Prediction Using Auto SK Learn (Auto ML)

8 lectures
Introduction to the Project
03:16
Importing Libraries and DataSet
02:54
Data Analysis and Feature Engineering
06:20
Data Preprocessing 1
07:43
Data Preprocessing 2
04:34
Model Building and Prediction using ML
05:18
Model Building and Prediction using Auto SK Learn
06:46
Download The Project Files
00:01

Project-88: Hospital Mortality Prediction Using PyCaret (Auto ML)

7 lectures
Introduction to the Project
04:19
Importing Libraries and DataSet
03:06
Data Analysis and Preprocessing 1
08:15
Data Analysis and Preprocessing 2
05:24
Model Building using ML
04:21
Model Building using Auto ML(PyCaret)
08:21
Download The Project Files
00:01

Project-89: Employee Evaluation For Promotion Using ML And Eval Auto ML

7 lectures
Introduction to the Project
02:51
Importing Libraries and DataSet
02:58
Data Analysis and Preprocessing 1
09:14
Data Analysis and Preprocessing 2
03:51
Model Building using ML
04:41
Model Building and Prediction using Eval Auto ML
08:53
Download The Project Files
00:01

Project-90: Drinking Water Potability Prediction Using ML And H2O Auto ML

7 lectures
Introduction to the Project
03:04
Importing Libraries and DataSet
03:13
Data Analysis
08:16
Feature Engineering
03:19
Model Building using ML
04:31
Model Building and Prediction using H2O Auto ML
08:24
Download The Project Files
00:01

Python Projects Starts From Here

1 lectures
Python Projects Starts From Here
00:01

Project-91: Image Editor Application With OpenCV And Tkinter

14 lectures
Introduction
05:11
Tkinter
09:57
Tkinter2
08:11
cvbasics
04:10
Implementing Frames
04:50
Implementing Frames
11:25
Implementing Canvas
08:28
Sub Menu projects course
14:08
Finishing Front End
10:57
Image on canvas
11:02
Applying Filters
28:29
Cropping
17:29
Saving Images
09:56
Download The Project Files
00:01

Project-92: Brand Identification Game With Tkinter And Sqlite3

8 lectures
Introduction
05:25
tkinter basics
20:34
sqlite basics
12:52
developing frontend
19:52
implementing logic
21:14
creating database
19:32
integrating database
25:48
Download The Project Files
00:01

Project-93: Transaction Application With Tkinter And Sqlite3

8 lectures
Introduction
08:48
tkinte basics
20:34
sqlite basics
12:52
front end
22:01
authentication
43:43
managing-transaction
39:10
managing profile picture
06:03
Download The Project Files
00:01

Project-94: Learning Management System With Django

13 lectures
Introduction
10:14
setting
20:06
building models
11:05
building models
11:07
admin and querying
08:43
registration and login
19:39
implementing profile
16:04
implementing profile
13:44
results with matplotlib
11:40
Interactive graph
06:13
answering assignments
15:12
staff assignment
27:18
Download The Project Files
00:01

Project-95: Create A News Portal With Django

10 lectures
Introduction
08:09
setting up
20:02
implementing models
23:37
login and registration
29:45
profiles
15:54
news home
13:28
filtering news
13:53
efficient code
05:33
adding news
12:55
Download The Project Files
00:01

Project-96: Create A Student Portal With Django

8 lectures
Introduction
09:06
setting up
20:06
homepage and api requests
34:14
login and registration
36:16
handling notes
18:53
todos and homeworks
13:12
conversion page
09:15
Download The Project Files
00:01

Project-97: Productivity Tracker With Django And Plotly

6 lectures
Introduction
07:00
setting up
20:05
login and registration
42:42
todo implementation
38:26
profile implementation
18:51
Download The Project Files
00:01

Project-98: Create A Study Group With Django

7 lectures
Introduction
06:51
setting up
20:05
login and registration
36:16
ER diagram
06:37
groups implementation
50:17
filtering
09:18
Download The Project Files
00:01

Project-99: Building Crop Guide Application with PyQt5, SQLite

8 lectures
Introduction to Project on Crop Guide
02:12
Designing The Python GUI using Qt Designer
11:23
Enhancing the Qt5 GUI Functionality
06:27
Creation and Implementation of Database
09:49
Connecting Database with PyQt5 Application
05:44
Enhancing the Qt5 GUI Functionality and Application Logic
12:52
Project Conclusion and Recall
06:27
Download The Project Files
00:01

Project-100: Building Password Manager Application With PyQt5, SQLite

8 lectures
Introduction to Project on Password Manager
04:06
Designing The Python GUI using Qt Designer
10:57
Enhancing the Qt5 GUI Functionality
05:06
Creation and Implementation of Database
08:11
Enhancing the Qt5 GUI Functionality and Application Logic Part 1
10:26
Enhancing the Qt5 GUI Functionality and Application Logic Part 2
10:24
Project Conclusion and Overview
12:49
Download The Project Files
00:01

Project-101: Create A News Application With Python

8 lectures
Introduction to Project on News App
02:17
Django Starting and Setup
06:20
Demonstration of Django MVT Architecture and Rendering
07:30
Coding the Application Logic
10:23
Updating the Application Logic for templates and views
10:14
Recall and Project Deployment Part-1
13:28
Project Deployment Part-2
10:41
Download The Project Files
00:01

Project-102: Create A Guide Application With Python

6 lectures
Introduction To The Project On Guide
01:26
Getting Started With Django
11:41
Application Logic
17:40
Updating Templates and Views
10:05
Deploying Application
08:00
Download The Project Files
00:01

Project-103: Building The Chef Web Application with Django, Python

9 lectures
Introduction to Project on The Chef
01:51
Get Started with Django
10:21
Application Logic Part-1
11:44
Application Logic Part-2
09:14
Application Logic Part-3
07:37
Templates
10:12
Updating Views
10:02
Deployment Of The Application
07:50
Download The Project Files
00:01

Project-104: Syllogism-Rules of Inference Solver Web Application

7 lectures
Introduction to The Syllogism Rules of Inference Solver
02:03
Get Started with Django
12:01
Application Logic Part-1
11:46
Application Logic Part-2
08:22
Updating Views and Templates
09:53
Deployment of Application
07:25
Download The Project Files
00:01

Project-105: Building Vision Web Application with Django, Python

8 lectures
Introduction
01:52
Getting Started With Django and MVT Architecture
05:47
Rendering Sample Text and Images Part-1
13:11
Rendering Sample Text and Images Part-2
08:05
Application Logic Part-1
15:55
Application Logic Part-2
06:42
Updating Templates and Views
07:44
Download The Project Files
00:01

Project-106: Building Budget Planner Application With Python

2 lectures
Introduction
55:45
Download The Project Files
00:01

Project-107: Build Tic Tac Toe Game

2 lectures
Build Tic Tac Toe Game
01:47:06
Download The Project Files
00:01

Project-108: Random Password Generator Website using Django

2 lectures
Random Password Generator Website using Django
01:22:47
Download The Project Files
00:01

Project-109: Building Personal Portfolio Website Using Django

2 lectures
Building Personal Portfolio Website Using Django
02:47:18
Download The Project Files
00:01

Project-110: Todo List Website For Multiple Users

2 lectures
Todo List Website For Multiple Users
02:26:47
Download The Project Files
00:01

Project-111: Crypto Coin Planner GUI Application

2 lectures
Crypto Coin Planner GUI Application
01:43:57
Download The Project Files
00:01

Project-112: Your Own Twitter Bot -python, request, API, deployment, tweepy

2 lectures
Your Own Twitter Bot -python, request, API, deployment, tweepy
01:21:38
Download The Project Files
00:01

Project-113: Create A Python Dictionary Using python, Tkinter, JSON

2 lectures
Create A Python Dictionary Using python, Tkinter, JSON
01:45:02
Download The Project Files
00:01

Project-114: Egg-Catcher Game using python

2 lectures
Egg-Catcher Game using python
01:21:22
Download The Project Files
00:01

Project-115: Personal Routine Tracker Application using python

2 lectures
Personal Routine Tracker Application using python
01:45:24
Download The Project Files
00:01

Project-116: Building Screen -Pet using Tkinter & Canvas

2 lectures
Building Screen -Pet using Tkinter & Canvas
01:23:00
Download The Project Files
00:01

Project-117: Building Caterpillar Game Using Turtle and Python

2 lectures
Building Caterpillar Game Using Turtle and Python
01:31:57
Download The Project Files
00:01

Project-118: Building Hangman Game Using Python

2 lectures
Building Hangman Game Using Python
19:45
Download The Project Files
00:01

Project-119: Developing our own Smart Calculator Using Python and Tkinter

2 lectures
Developing our own Smart Calculator Using Python and Tkinter
44:12
Download The Project Files
00:01

Project-120: Image-based steganography Using Python and pillows

1 lectures
Image-based steganography Using Python and pillows
58:43

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