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40 Real World Data Science, Machine Learning Projects 2025

Name: 40 Real World Data Science, Machine Learning Projects 2025
Rating: 4.4 (355 reviews)

Learn To Build & Deploy AI, ML, DS, Deep Learning, NLP Web Apps With Python Projects Course(Flask, Django, Heruko Cloud)

Created byPianalytix • 75,000+ Students Worldwide

Last updated 6/2025

English

English [Auto],

What you'll learn

Students Will Understand What Is Machine Learning
Why They Need To Learn Machine Learning
Difference Between Machine Learning, Deep Learning, Artificial Intelligence
What Are The Applications Of Machine Learning

Course content

41 sections • 250 lectures • 29h 35m total length

Introduction To The Course0:44
Introduction Course Outline3:09
Explore real world data science and machine learning projects for 2025 through an introduction that outlines the course structure and key topics.
Course Bonuses: Cheat Sheets, Downloads, Mind maps, Guides.0:47
Udemy Course Feedback0:14
Glean actionable insights from Udemy course feedback on real world data science and machine learning projects in 2025, noting blues.

Introduction to Pan Card Tempering Detector App1:47
Loading Libraries and Dataset4:00
Creating the Pancard Detector with Opencv12:28
Creating the Flask App3:50
Creating Important Functions4:56
Define an index function to handle get and post requests for image upload, resize, grayscale, contours, and bounding rectangles, with a prediction rendered on the index page.
Deploy the App in Heroku5:45
Deploy a Python app to Heroku by configuring the environment and installing dependencies from requirements.txt. Push code to GitHub, connect the repo, then deploy to obtain the app URL.
Testing the Deployed Pan Card Detector1:56
Download the project files0:29

Introduction1:59
Importing the data and Libraries6:15
Data Preprocessing3:10
Build and Train Model7:07
Build a sequential cnn with conv2d and max pooling, flatten, and dense layers for three classes with softmax; train with categorical cross-entropy and adam at 0.0001 learning rate, 100 epochs.
Testing the Model2:28
Plot model and validation accuracy by epoch with matplotlib, save the history, and use the predict function to reach 83.33% test accuracy while tuning hyperparameters.
Creating the Flask App6:40
Running the App in System4:12
Download the project files0:27

Introduction to Image Watermarking App2:08
Importing Libraries and Logo2:51
Use Google Colab to apply image watermarking with OpenCV, adding logo and text watermarks for copyright protection, and load images and logos via URL and PIL in this project.
Create Text and Image Watermark8:46
Learn to create text and image watermarks using OpenCV and numpy. Convert images to RGB, compute center and ROI, and apply a logo or text watermark for copyright protection.
Creating the App13:16
Deploying the App in Heroku5:28
Download the project files0:23

Introduction to Text Extraction From Images App2:16
Importing Libraries and Data3:45
Extracting the Test from Image4:27
Modifying the Extractor7:58
Creating the Extractor App8:21
Running the Extractor App2:19
Install the project requirements with pip install -r requirements.txt, then run python app.py, open the app in a browser, and test OCR by selecting an image to extract text.
Download the project files0:21

Introduction3:09
Detect and count vehicles in images and video using OpenCV and Haar cascades, loading images via requests, converting to grayscale, and drawing contours with rectangles for cars and buses.
Importing Libraries3:10
Transforing Images and Creating Output10:54
Creating a Flask App17:28
Build a flask app for vehicle detection and counting using OpenCV cascade classifier, image preprocessing, and post-processing to draw rectangles. Deploy via Heroku using GitHub, requirements.txt, and a proc file.
Download the project files0:22

Introduction2:37
Importing Libraries and Data4:32
Data Preprocessing and Creating Output14:09
Convert images to numpy arrays and grayscale, detect faces with dlib, predict landmarks, triangulate, warp triangles, and use seamless clone to finalize the face swap.
Creating a Flask Application14:49
Create a Flask-based face swap app by building project structure, configuring settings, and implementing views for image upload and processing. Design the front end with HTML, CSS, and materialize.
Download the project files0:23

Introduction2:35
Importing Libraries and Data6:14
Learn to build a convolutional neural network in Keras on Google Colab, loading a bird species dataset from Google Drive, and train a multiclass classifier with 224 by 224 images.
Data Processing3:37
Creating ML Model10:16
Creating A Flask App13:27
Create and run a Flask app for a six-class bird species classifier, loading a pre-trained model, configuring development settings, handling image uploads, preprocessing, and presenting predictions via a web interface.
Download the project files0:22

Requirements

Enthusiasm To Learn New Things

Description

Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Artificial Intelligence, Machine Learning, Data Science , Auto Ml, Deep Learning, Natural Language Processing (NLP) Web Applications Projects With Python (Flask, Django, Heruko, Streamlit Cloud).

How much does a Data Scientist make in the United States?

The national average salary for a Data Scientist is US$1,20,718 per year in the United States, 2.8k salaries reported, updated on July 15, 2021 (source: glassdoor)

Salaries by Company, Role, Average Base Salary in (USD)

Facebook Data Scientist makes USD 1,36,000/yr. Analyzed from 1,014 salaries.

Amazon Data Scientist makes USD 1,25,704/yr. Analyzed from 307 salaries.

Apple Data Scientist makes USD 1,53,885/yr. Analyzed from 147 salaries.

Google Data Scientist makes USD 1,48,316/yr. Analyzed from 252 salaries.

Quora, Inc. Data Scientist makes USD 1,22,875/yr. Analyzed from 509 salaries.

Oracle Data Scientist makes USD 1,48,396/yr. Analyzed from 458 salaries.

IBM Data Scientist makes USD 1,32,662/yr. Analyzed from 388 salaries.

Microsoft Data Scientist makes USD 1,33,810/yr. Analyzed from 205 salaries.

Walmart Data Scientist makes USD 1,08,937/yr. Analyzed 187 salaries.

Cisco Systems Data Scientist makes USD 1,57,228/yr. Analyzed from 184 salaries.

Uber Data Scientist makes USD 1,43,661/yr. Analyzed from 151 salaries.

Intel Corporation Data Scientist makes USD 1,25,930/yr. Analyzed from 131 salaries.

Airbnb Data Scientist makes USD 1,80,569/yr. Analyzed from 122 salaries.

Adobe Data Scientist makes USD 1,39,074/yr. Analyzed from 109 salaries.

In This Course, We Are Going To Work On 40 Real World Projects Listed Below:

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

Project-2 Dog breed prediction Flask App

Project-3 Image Watermarking App (With Deployment)

Project-4 Traffic sign classification

Project-5 Text Extraction From Images App

Project-6 Plant Disease Prediction App (With Deployment)

Project-7 Counting & Detecting Vehicles Flask App

Project-8 Face Swapping Deep Learning Application

Project-9 Bird Species Prediction App

Project-10 Intel Image Classification App

Project-11 Sentiment Analysis App (With Deployment)

Project-12 Attrition Rate Django App

Project-13 Pokemon Dataset App (With Deployment)

Project-14 Face Detection App Streamlit

Project-15 Cats Vs Dogs Classification App

Project-16 Customer Revenue Prediction App (With Deployment)

Project-17 Gender From Voice Prediction App

Project-18 Restaurant Recommendation System

Project-19 Happiness Ranking App

Project-20 Forest Fire Prediction App

Project-21 Black Friday Sale Prediction

Project-22 Sentiment Analysis Using Natural Language Processing

Project-23 Parkinson Syndrome Prediction

Project-24 Fake News Classifier Using NLP

Project-25 Toxic Comment Classifier Using NLP

Project-26 Movie Ratings Prediction (IMDB) Using NLP

Project-27 Air Quality Prediction

Project-28 Covid-19 Case Analysis

Project-29 Customer Churning Prediction

Project-30 Building A Chatbot Application (NLP)

Project-31: Video Game Sales Prediction App

Project-32: Car Selling Price Prediction App- Deploy On Heruku

Project-33: Affair Prediction App - Deploy On Heruku

Project-34: Mushroom Classification App - Deploy On Heruku

Project-35: Mobile App Rating Prediction Django App - Deploy On Heruku

Project-36: Heart Attack Risk Prediction With Auto ML

Project-37: Credit Card Fraud Detection using PyCaret

Project-38: Flight Fare Detection using Auto SK Learn

Project-39: Petrol Price Forecasting using Auto Keras

Project-40: Bank Customer Churn Prediction using H2O Auto ML

The Only Course With 40 Real World Projects In Data Science Domain.

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

Who this course is for:

Machine Learning Enthusiasts

40 Real World Data Science, Machine Learning Projects 2025

What you'll learn

Explore related topics

Course content

Introduction To The Course4 lectures • 5min

Project-1 Pan Card Tempering Detector App (With Deployment)8 lectures • 35min

Project-2 Dog breed prediction Flask App8 lectures • 32min

Project-3 Image Watermarking App (With Deployment)6 lectures • 33min

Project-4 Traffic sign classification6 lectures • 26min

Project-5 Text Extraction From Images App7 lectures • 29min

Project-6 Plant Disease Prediction App (With Deployment)6 lectures • 32min

Project-7 Counting & Detecting Vehicles Flask App5 lectures • 35min

Project-8 Face Swapping Deep Learning Application5 lectures • 37min

Project-9 Bird Species Prediction App6 lectures • 37min

Requirements

Description

Who this course is for: