Browse

Browse courses

Browse courses

40 Real World Data Science, Machine Learning Projects 2025

4. Building Flask App.mp4

16. Project-15 Cats Vs Dogs Classification App · Video

Back Next lesson

Course content

42 chapters · 305 lessons

Udemy - 40 Real World Data Science, Machine Learning Projects 2025 2025-6

Readme

01. Introduction To The Course

1. Introduction To The Course 2. Introduction Course Outline 3. Course Bonuses Cheat Sheets, Downloads, Mind maps, Guides 3. Data Science Cheat Sheet PDF Download 3. Data Science Mind Map PDF Download 3. Deep Learning Cheat Sheet PDF Download 3. Deep Learning Mind Map PDF Download 3. Interview Prep Data Science, Machine Learning, Deep Learning MCQs 4. Udemy Course Feedback

02. Project-1 Pan Card Tempering Detector App (With Deployment)

1. Introduction to Pan Card Tempering Detector App 2. Loading Libraries and Dataset 3. Creating the Pancard Detector with Opencv 4. Creating the Flask App 5. Creating Important Functions 6. Deploy the App in Heroku 7. Testing the Deployed Pan Card Detector 8. Collab Code 8. Download the project files 8. Pan Card Tampering Flask App 8. Pan Card Tampering Flask App 8. Pan Card Tampering Flask App 8. Pan Card Tampering Flask App 8. Pan Card Tampering Flask App 8. Pan Card Tampering Flask App 8. Pan Card Tampering Flask App 8. Pan Card Tampering Flask App 8. Pan Card Tampering Flask App 8. Pan Card Tampering Flask App 8. Pan Card Tampering Flask App 8. Pan Card Tampering Flask App

03. Project-2 Dog breed prediction Flask App

1. Introduction 2. Importing the data and Libraries 3. Data Preprocessing 4. Build and Train Model 5. Testing the Model 6. Creating the Flask App 7. Running the App in System 8. Collab Code 8. Dog Breed Prediction Streamlit App 8. Dog Breed Prediction Streamlit App 8. Download the project files

04. Project-3 Image Watermarking App (With Deployment)

1. Introduction to Image Watermarking App 2. Importing Libraries and Logo 3. Create Text and Image Watermark 4. Creating the App 5. Deploying the App in Heroku 6. Collab Code 6. Download the project files 6. Image Watermarking Flask App 6. Image Watermarking Flask App 6. Image Watermarking Flask App 6. Image Watermarking Flask App 6. Image Watermarking Flask App 6. Image Watermarking Flask App 6. Image Watermarking Flask App 6. Image Watermarking Flask App 6. Image Watermarking Flask App 6. Image Watermarking Flask App 6. Image Watermarking Flask App 6. Image Watermarking Flask App

05. Project-4 Traffic sign classification

1. Introduction 2. Importing the Data and Libraries 3. Image Processing 4. Creating and Testing the Model 5. Creating Model for Test Set 6. Collab Code 6. Download the project files

06. Project-5 Text Extraction From Images App

1. Introduction to Text Extraction From Images App 2. Importing Libraries and Data 3. Extracting the Test from Image 4. Modifying the Extractor 5. Creating the Extractor App 6. Running the Extractor App 7. Collab Code 7. Download the project files 7. Text Extraction Flask App 7. Text Extraction Flask App 7. Text Extraction Flask App 7. Text Extraction Flask App 7. Text Extraction Flask App 7. Text Extraction Flask App 7. Text Extraction Flask App 7. Text Extraction Flask App 7. Text Extraction Flask App 7. Text Extraction Flask App 7. Text Extraction Flask App 7. Text Extraction Flask App

07. Project-6 Plant Disease Prediction App (With Deployment)

1. Introduction 2. Importing Libraries and Data 3. Understanding the Data 4. Model Building 5. Creating an App Using Streamlit 6. Collab Code 6. Download the project files 6. Plant Disease Flask App 6. Plant Disease Flask App

08. Project-7 Counting & Detecting Vehicles Flask App

1. Introduction 2. Importing Libraries 3. Transforing Images and Creating Output 4. Creating a Flask App 5. Collab Code 5. Collab Code 5. Collab Code 5. Collab Code 5. Detect and Count Vehicle Flask App 5. Detect and Count Vehicle Flask App 5. Detect and Count Vehicle Flask App 5. Detect and Count Vehicle Flask App 5. Detect and Count Vehicle Flask App 5. Detect and Count Vehicle Flask App 5. Detect and Count Vehicle Flask App 5. Detect and Count Vehicle Flask App 5. Detect and Count Vehicle Flask App 5. Detect and Count Vehicle Flask App 5. Detect and Count Vehicle Flask App 5. Detect and Count Vehicle Flask App 5. Detect and Count Vehicle Flask App 5. Download the project files

09. Project-8 Face Swapping Deep Learning Application

1. Introduction 2. Importing Libraries and Data 3. Data Preprocessing and Creating Output 4. Creating a Flask Application 5. Collab code 5. Download the project files 5. Face Swap Flask App 5. Face Swap Flask App 5. Face Swap Flask App 5. Face Swap Flask App 5. Face Swap Flask App 5. Face Swap Flask App 5. Face Swap Flask App 5. Face Swap Flask App 5. Face Swap Flask App 5. Face Swap Flask App 5. Face Swap Flask App

10. Project-9 Bird Species Prediction App

1. Introduction 2. Importing Libraries and Data 3. Data Processing 4. Creating ML Model 5. Creating A Flask App 6. Bird Species Flask App 6. Bird Species Flask App 6. Bird Species Flask App 6. Bird Species Flask App 6. Bird Species Flask App 6. Bird Species Flask App 6. Bird Species Flask App 6. Bird Species Flask App 6. Bird Species Flask App 6. Bird Species Flask App 6. Bird Species Flask App 6. Collab Code 6. Download the project files

11. Project-10 Intel Image Classification App

1. Introduction 2. Importing and Processing data 3. Creating a Model 4. Creating a Flask App 5. Collab Code 5. Download the project files 5. Intel Image Flask App 5. Intel Image Flask App 5. Intel Image Flask App 5. Intel Image Flask App 5. Intel Image Flask App 5. Intel Image Flask App 5. Intel Image Flask App 5. Intel Image Flask App 5. Intel Image Flask App 5. Intel Image Flask App 5. Intel Image Flask App

12. Project-11 Sentiment Analysis App (With Deployment)

1. Introduction 2. Project Notebook Google Colab 3. Building Django App 4. Deploying APP in Heroku 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. 1-Sentiment Analysis Code 5. Download the project files

13. Project-12 Attrition Rate Django App

1. Introduction 2. Creating Colab Notebook 3. Creating Django App 4. Deploying App In Heroku 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. 2-Attrition Rate Django code 5. Download the project files

14. Project-13 Pokemon Dataset App (With Deployment)

1. Introduction 2. Creating Colab Notebook 3. Creating DJango APP 4. Deploying APP in Heroku 5. Download the project files 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code 5. Pokemon APP Code

15. Project-14 Face Detection App Streamlit

1. Introduction Face Detection App 2. Creating The Face App Using OpenCV1 3. Creating The face app3 4. Download the project files 4. Face Detection App- Code 4. Face Detection App- Code 4. Face Detection App- Code 4. Face Detection App- Code

16. Project-15 Cats Vs Dogs Classification App

1. Introduction 2. Creating Project Notebook 3. Building Model 4. Building Flask App NOW 5. Building Flask App 6. Cats Vs Dogs App Code 6. Cats Vs Dogs App Code 6. Cats Vs Dogs App Code 6. Cats Vs Dogs App Code 6. Cats Vs Dogs App Code 6. Cats Vs Dogs App Code 6. Cats Vs Dogs App Code 6. Cats Vs Dogs App Code 6. Download the project files

17. Project-16 Customer Revenue Prediction App (With Deployment)

1. Introduction 2. Colab Notebook 3. Creating Flask App 4. Deploying Flask App 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Customer Revenue Prediction Code 5. Download the project files

18. Project-17 Gender From Voice Prediction App

1. Introduction 2. Creating Project Notebook 3. Creating Project App Django 4. Deploying The App 5. Download the project files 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code 5. Voice Gender Prediction code

19. Project-18 Restaurant Recommendation System

1. Introduction 2. Creating Colab Notebook 3. Exploratory Data Analysis 4. Data Analysis2 5. Download the project files 5. Restaurant Rec - Code

20. Project-19 Happiness Ranking App

1. Introduction 2. Project Notebook 3. Creating Django App 4. Deploying Django App 5. Download the project files 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code 5. Happiness Ranking - Code

21. Project-20 Forest Fire Prediction App

1. Introduction 2. Project Notebook 3. Project Notebook Part2 4. Creating Django App 5. Deploying Django App 6. Download the project files 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code 6. Forest Fires App -Code

22. Project-21 Black Friday Sale Prediction

1. Importing libraries and data 2. Understanding data 3. Data visulaization and data preprocessing 4. Model building 5. Model building part2 6. Download the project files 6. Notebook Black friday 6. Notebook Black friday 6. Notebook Black friday

23. Project-22 Sentiment Analysis Using Natural Language Processing

1. Importing libraries and data 2. Text normalization 3. Lemmatization 4. Data preprocessing 5. Model Building 6. Download the project files 6. Sentiment analysis files 6. Sentiment analysis files 6. Sentiment analysis files 6. Sentiment analysis files

24. Project-23 Parkinson Syndrome Prediction

1. Importing libraries and data 2. Understanding the data 3. data visualization 4. Model building part 1 5. Model building part 2 6. Download the project files 6. Parkinson Disease files 6. Parkinson Disease files

25. Project-24 Fake News Classifier Using NLP

1. Importing libraries and data 2. data preprocessing 3. Text cleaning 4. Vectorizer 5. Model Building 6. Download the project files 6. Fake news classifier files 6. Fake news classifier files 6. Fake news classifier files

26. Project-25 Toxic Comment Classifier Using NLP

1. Importing libraries and data 2. Understanding data 3. data visualization and preprocessing 4. Balancing the target column 5. Model building 6. Model evaluation 7. Download the project files 7. Toxic Comment Classifier files 7. Toxic Comment Classifier files 7. Toxic Comment Classifier files 7. Toxic Comment Classifier files 7. Toxic Comment Classifier files

27. Project-26 Movie Ratings Prediction (IMDB) Using NLP

1. Importing libraries and data 2. Understanding data 3. data visualization 4. data preprocessing 5. Model building 6. Download the project files 6. IMDB files 6. IMDB files 6. IMDB files 6. IMDB files

28. Project-27 Air Quality Prediction

1. Importing libraries & Data 2. Understanding data 3. data visualization 4. data preprocessing 5. Feature Engineering 6. Model-building Part1 7. Model building part2 8. Download the project files 8. Indian Air Quality Files 8. Indian Air Quality Files 8. Indian Air Quality Files 8. Indian Air Quality Files 8. Indian Air Quality Files

29. Project-28 Covid-19 Case Analysis

1. Importing libraries and data 2. data preprocessing 3. Data Analysis part1 4. Data Analysis part2 5. Covid-19 Analysis Files 5. Covid-19 Analysis Files 5. Download the project files

30. Project-29 Customer Churning Prediction

1. Importing libraries and data 2. Understanding data 3. data visualization 4. Model building 5. Hypertuning 6. Customer churn files 6. Customer churn files 6. Customer churn files 6. Download the project files

31. Project-30 Building A Chatbot Application (NLP)

1. Importing libraries and data 2. Understanding data 3. data visualization 4. text normalization 5. Creating a application 6. Chatbot files 6. Chatbot files 6. Chatbot files 6. Chatbot files 6. Chatbot files 6. Chatbot files 6. Download the project files

32. Project-31 Video Game Sales Prediction Using Machine Learning

1. Introduction 2. Google Colab part-1 3. Google Colab part-2 4. Creating Django App 5. Heroku App Deployment 6. Download the project files 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code 6. Video games sales - Code

33. Project-32 Car Selling Price Prediction - Deploy On Heruko

1. Introduction 2. Machine Learning model building part1 3. Machine Learning model building part2 4. Machine Learning model building part 3 5. Creating Django Application part 1 6. Creating Django Application part2 7. Deploying on Heroku 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Car selling price prediction -Code 8. Download the project files

34. Project-33 Affair Prediction App & Deploy On Heruko

1. Introduction 2. Introductory Machine Learning model building 3. Feature Building and Selection 4. Model Building 5. Django Application Introduction 6. Django Application building 7. Deploying on Heroku 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Affair prediction- Code 8. Download the project files

35. Project-34 Create Mushroom Classification App & Deploy On Heruko

1. Introduction 2. Importing libraries and Understanding data 3. Building the model 4. Building Django Application 5. Deploying on Heroku 6. Download the project files 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code 6. Mushroom Classification App Code

36. Project-35 Mobile App Rating Prediction Django App- Deploy On Heruko

1. Introduction 2. Introduction to libraries and dataset 3. Preprocessing the data 4. building the model 5. Django Application 6. Deploying to Heroku 7. Download the project files 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code 7. Google App rating preiction Code

37. Project-36 Heart Attack Risk Prediction With Auto ML

1. Introduction to the Project 2. Importing Libraries and Datasets 3. Data Analysis 4. Model Building Part 1 5. Model building part 2 6. Model building and Predictions using Auto ML( Eval ML ) 7. Download the project files 7. Heart Attack Preidction- Auto Ml -Code Files 7. Heart Attack Preidction- Auto Ml -Code Files

38. Project-37 Credit Card Fraud Detection using PyCaret

1. Introduction to the Project 2. Importing Libraries and DataSet 3. Data Analysis 4. Model Building using M 5. Model Building and Prediction using PyCaret (Auto ML) 6. Credit Card Fraud Using Pycaret -Code and Files 6. Credit Card Fraud Using Pycaret -Code and Files 6. Download the project files

39. Project-38 Flight Fare Detection using Auto SK Learn

1. Introduction to the Project 2. Importing Libraries and DataSet 3. Data Analysis 4. Feature Engineering 1 5. Feature Engineering 2 6. Feature Selection 7. Model Building using ML 8. Model Building and Prediction using Auto SK Learn 9. Download the project files 9. Flight fare- auto sk learn- Project Code and Files 9. Flight fare- auto sk learn- Project Code and Files 9. Flight fare- auto sk learn- Project Code and Files

40. Project-39 Petrol Price Forecasting using Auto Keras

1. Introduction to the Project 2. Importing Libraries and Data Set 3. Data Analysis and splitting of Data 4. Data Preprocessing 5. Model Building and Prediction using LSTM model 6. Model Building and prediction using ARIMA and Auto Keras (Auto ML) 7. Download the project files 7. Petrol Price Forecasting- Auto Kearas- Code Files 7. Petrol Price Forecasting- Auto Kearas- Code Files 7. Petrol Price Forecasting- Auto Kearas- Code Files

41. Project-40 Bank Customer Churn Prediction using H2O Auto ML

1. Introduction to the Project 2. Importing Libraries and Data Set 3. Data Analysis 4. Feature Engineering 5. Model Building and Prediction using ANN 6. Model Building and Prediction using H2O Auto ML(Auto ML) 7. Bank Customer Churn-Auto Keras -Project code and Files 7. Bank Customer Churn-Auto Keras -Project code and Files 7. Download the project files

Free courses from the real sources — indexed, organized, and searchable. No accounts, no paywalls.

Popular topics

Python
JavaScript
Data Science
Machine Learning

© 2026 CourseDen. All courses belong to their original authors.

Always free · No accounts required