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Python + Data Science + ML + AI Tutorial Python + Data Science + ML + AI Tutorial

Learn Python from basics to professional level with Data Science, Machine Learning and Artificial Intelligence. Every lesson now has meaningful topic-specific explanation, syntax/workflow, correct example program, output, key terms, mistakes, practice and mini project ideas.

Python basics से लेकर Data Science, Machine Learning और Artificial Intelligence तक complete tutorial — har topic par अलग और useful explanation, example, output, mistakes, practice और mini project के साथ।

📚 71 Topics 🇮🇳 Hindi + English ✅ 100% Free 🤖 AI + ML Included

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Course ContentCourse Content

Python core, advanced Python, Data Science, Machine Learning and AI in one structured path.

Python core, advanced Python, Data Science, Machine Learning और AI एक ही structured path में।

🟢 BEGINNER

🟢 Beginner – Python Core 🟢 Beginner – Python Core

20 Lessons

01 Introduction to Python Python का परिचय 02 Python Setup: Windows, VS Code and IDLE Python Setup: Windows, VS Code और IDLE 03 First Python Program: Hello World पहला Python Program: Hello World 04 Python Syntax, Indentation and Comments Python Syntax, Indentation और Comments 05 Variables and Data Types in Python Python में Variables और Data Types 06 Input and Output in Python Python में Input और Output 07 Operators in Python Python में Operators 08 if, elif and else Statements if, elif और else Statements 09 for Loop and while Loop for Loop और while Loop 10 Functions in Python Python में Functions 11 Lambda, map, filter and reduce Lambda, map, filter और reduce 12 Lists in Python Python Lists 13 Tuples and Sets in Python Python Tuples और Sets 14 Dictionaries in Python Python Dictionaries 15 String Handling in Python Python में String Handling 16 List, Set and Dictionary Comprehension List, Set और Dictionary Comprehension 17 Modules and Packages Modules और Packages 18 Exception Handling Exception Handling 19 File Handling in Python Python में File Handling 20 Object-Oriented Programming in Python Python में Object-Oriented Programming

🟡 ADVANCED

🟡 Advanced Python – Professional Skills 🟡 Advanced Python – Professional Skills

12 Lessons

01 Decorators in Python Python Decorators 02 Iterators and Generators Iterators और Generators 03 Regular Expressions with re Module re Module के साथ Regular Expressions 04 Date and Time Handling Date और Time Handling 05 JSON and CSV Handling JSON और CSV Handling 06 pip, venv and Project Environment pip, venv और Project Environment 07 SQLite Database with Python Python के साथ SQLite Database 08 Web Scraping Basics Web Scraping Basics 09 Working with APIs and requests APIs और requests के साथ काम 10 Testing and Debugging Python Code Python Code Testing और Debugging 11 Python Best Practices Python Best Practices 12 Python Mini Projects Python Mini Projects

🔵 DATA SCIENCE

🔵 Data Science – NumPy, Pandas and Analysis 🔵 Data Science – NumPy, Pandas और Analysis

14 Lessons

01 Introduction to Data Science Data Science का परिचय 02 Jupyter Notebook and Google Colab Jupyter Notebook और Google Colab 03 NumPy Arrays NumPy Arrays 04 NumPy Indexing, Slicing and Operations NumPy Indexing, Slicing और Operations 05 Pandas Series and DataFrame Pandas Series और DataFrame 06 Data Cleaning with Pandas Pandas से Data Cleaning 07 GroupBy, Merge and Pivot Tables GroupBy, Merge और Pivot Tables 08 Data Visualization with Matplotlib Matplotlib से Data Visualization 09 Exploratory Data Analysis (EDA) Exploratory Data Analysis (EDA) 10 Statistics for Data Science Data Science के लिए Statistics 11 Probability Basics Probability Basics 12 Linear Algebra Basics Linear Algebra Basics 13 Feature Engineering Feature Engineering 14 Complete Data Science Project Complete Data Science Project

🟣 ML AI

🟣 Machine Learning and AI 🟣 Machine Learning और AI

25 Lessons

01 Introduction to Machine Learning Machine Learning का परिचय 02 Machine Learning Workflow Machine Learning Workflow 03 Train-Test Split and Data Preparation Train-Test Split और Data Preparation 04 Linear Regression Linear Regression 05 Logistic Regression Logistic Regression 06 Decision Tree Algorithm Decision Tree Algorithm 07 Random Forest Algorithm Random Forest Algorithm 08 Support Vector Machine (SVM) Support Vector Machine (SVM) 09 K-Nearest Neighbors (KNN) K-Nearest Neighbors (KNN) 10 Naive Bayes Algorithm Naive Bayes Algorithm 11 K-Means Clustering K-Means Clustering 12 Principal Component Analysis (PCA) Principal Component Analysis (PCA) 13 Model Evaluation Metrics Model Evaluation Metrics 14 Cross-Validation and Hyperparameter Tuning Cross-Validation और Hyperparameter Tuning 15 Pipeline and Model Saving Pipeline और Model Saving 16 Introduction to Artificial Intelligence Artificial Intelligence का परिचय 17 Neural Network Basics Neural Network Basics 18 TensorFlow and Keras Basics TensorFlow और Keras Basics 19 Natural Language Processing (NLP) Basics Natural Language Processing (NLP) Basics 20 Computer Vision and OpenCV Basics Computer Vision और OpenCV Basics 21 Generative AI and LLM Basics Generative AI और LLM Basics 22 Prompt Engineering Basics Prompt Engineering Basics 23 AI Ethics and Responsible AI AI Ethics और Responsible AI 24 AI Project Ideas for Students Students के लिए AI Project Ideas 25 Python, Data Science, ML and AI MCQ Quiz Python, Data Science, ML और AI MCQ Quiz

📘 PRACTICE

Practice Programs Practice Programs

1 Lessons

01 50 Python Practice Programs 50 Python Practice Programs

📘 PY PROGRAMS

Python Practice Programs Python Practice Programs

7 Lessons

01 Prime Number Program Prime Number Program 02 Fibonacci Series Fibonacci Series 03 Factorial Program Factorial Program 04 Palindrome Program Palindrome Program 05 Pattern Printing Programs Pattern Printing Programs 06 Calculator Program Calculator Program 07 Reverse String or List Reverse String or List

📘 PY ADVANCED

Advanced Python Concepts Advanced Python Concepts

8 Lessons

01 List vs Tuple vs Set vs Dict List vs Tuple vs Set vs Dict 02 Map, Filter, Reduce Map, Filter, Reduce 03 Deep Copy vs Shallow Copy Deep Copy vs Shallow Copy 04 *args and **kwargs *args and **kwargs 05 Magic Methods (Dunder) Magic Methods (Dunder) 06 self and __init__ self and __init__ 07 Inheritance & Polymorphism Inheritance & Polymorphism 08 Multiple Inheritance & MRO Multiple Inheritance & MRO

📘 PY MLPROJ

ML Concepts & Projects ML Concepts & Projects

11 Lessons

01 Supervised vs Unsupervised vs RL Supervised vs Unsupervised vs RL 02 Overfitting & Underfitting Overfitting & Underfitting 03 Activation Functions Activation Functions 04 CNN vs RNN CNN vs RNN 05 House Price Prediction House Price Prediction 06 Simple Chatbot Simple Chatbot 07 Email Spam Detection Email Spam Detection 08 Tic-Tac-Toe Game Tic-Tac-Toe Game 09 Text to Speech Text to Speech 10 Weather API Program Weather API Program 11 Web Scraping (BeautifulSoup) Web Scraping (BeautifulSoup)