Complete Free Course
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।
Start Learning सीखना शुरू करें →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
20 Lessons
🟢 Beginner – Python Core 🟢 Beginner – Python Core
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
12 Lessons
🟡 Advanced Python – Professional Skills 🟡 Advanced Python – Professional Skills
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
14 Lessons
🔵 Data Science – NumPy, Pandas and Analysis 🔵 Data Science – NumPy, Pandas और Analysis
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
25 Lessons
🟣 Machine Learning and AI 🟣 Machine Learning और AI
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