🌟 Course Content

1. Python Programming (Beginner to Advanced)

📌 Module 1: Python Basics

• Introduction to Python

• Variables, data types

• Operators, loops, conditions

• Functions & modules

📌 Module 2: Data Structures in Python

• Lists, tuples, sets, dictionaries

• Comprehensions

• String manipulation

📌 Module 3: File Handling & Exception Handling

• Reading/writing files

• Error & exception handling

📌 Module 4: Python Mini Projects

• Calculator

• File automation

• Data extraction scripts

2. Numpy, Pandas & Matplotlib (Data Handling & Visualization)

📌 Module 1: Numpy

• Arrays, indexing

• Broadcasting

• Mathematical operations

📌 Module 2: Pandas

• DataFrames & Series

• Data cleaning

• Data transformation

• Import/export data

📌 Module 3: Matplotlib

• Line, bar, pie charts

• Histograms

• Styling & customization

📌 Module 4: Hands-on Projects

• Data preprocessing

• Exploratory data analysis (EDA)

• Real-world dataset visualization

3. Machine Learning (ML Foundations)

📌 Module 1: ML Fundamentals

• What is ML?

• Types of ML (Supervised, Unsupervised)

• ML workflow

📌 Module 2: Supervised Learning Algorithms

• Linear & logistic regression

• Decision trees

• Random forest

• KNN

• Model evaluation (accuracy, precision, recall)

📌 Module 3: Unsupervised Learning

• K-means clustering

• PCA

• Dimensionality reduction

📌 Module 4: ML Model Deployment Basics

• Saving/loading models

• Simple deployment using Flask

📌 Module 5: Machine Learning Projects

• House price prediction

• Customer clustering

• Spam classifier

4. Artificial Intelligence (AI with Python)

📌 Module 1: AI Concepts

• What is AI?

• Search algorithms

• Optimization

• Heuristics

📌 Module 2: Practical AI

• Rule-based systems

• Chatbot basics

• Intelligent decision-making systems

📌 Module 3: AI Project

• Build an AI assistant using Python

5. OpenCV (Computer Vision)

📌 Module 1: Introduction to OpenCV

• Loading images & videos

• Image transformations

• Thresholding & masking

📌 Module 2: Object Detection & Tracking

• Contours

• Edge detection

• Face detection (Haar cascades)

📌 Module 3: Advanced OpenCV Concepts

• Filters & smoothing

• Image segmentation

• Motion detection

📌 Module 4: OpenCV Projects

• Face recognition

• Number plate detection

• Real-time camera filters

6. GUI Development with PyQt

📌 Module 1: PyQt Basics

• Windows, layouts, widgets

• Signals & slots

• Event handling

📌 Module 2: Building Complete Applications

• Form creation

• Menus & dialogs

• Input/output operations

📌 Module 3: Final PyQt Projects

• Personal expense tracker

• Desktop-based text editor

• ML model GUI integration