What you'll learn

✓ What is Machine Learning

✓ AI & Neural Networks

✓ Setting Up Your ML Environment

✓ Python Basics & Essential Libraries

✓ Data Handling & Preprocessing with Pandas

✓ Data Visualization Techniques

✓ Handling Missing Data & Data Cleaning

✓ Feature Scaling & Normalization

✓ Encoding Categorical Data

✓ Understanding Regression in ML

✓ Simple & Multiple Linear Regression

✓ Logistic Regression & Decision Trees

✓ Model Evaluation & Cross-Validation

✓ Introduction to Deep Learning & Neural Networks

✓ Building a CNN for Image Classification

✓ Object Detection & Image Segmentation

✓ Understanding Sequential Data & Time Series

✓ Natural Language Processing

✓ AI in Creative Fields (Music, Art, Video)

✓ Future of AI & ML (Quantum Computing, AGI)

✓ AI Career Paths & Industry Opportunities

Requirements

● Basic Programming experience needed