This course is designed for students and IT professionals who want to gain hands-on experience in Data Science, Machine Learning, and AI using Python. It covers essential concepts from data preprocessing to advanced AI models, ensuring participants can apply their knowledge in real-world projects.

Course Highlights:

✅ 30 classes, 1.5 hours each (Total: 45 hours)
✅ Hands-on projects and assignments
✅ Real-world applications of Machine Learning & NLP
✅ Introduction to Generative AI

What You Will Learn (Course Breakdown):

📌 Module 1: Introduction to Data Science (Class 1-5)

• Basics of Python for Data Science
• Data Wrangling and Preprocessing
• Data Visualization (Matplotlib, Seaborn)
• Feature Engineering

📌 Module 2: Machine Learning Basics (Class 6-15)

• Supervised Learning (Regression & Classification)
• Unsupervised Learning (Clustering, Dimensionality Reduction)
• Model Evaluation & Performance Metrics
• Hands-on ML Project

📌 Module 3: NLP & Deep Learning (Class 16-25)

• Introduction to Natural Language Processing
• Text Preprocessing & Vectorization
• Sentiment Analysis & Text Classification
• Basics of Neural Networks & Deep Learning

📌 Module 4: Generative AI & Applications (Class 26-30)

• Introduction to Generative AI
• Prompt Engineering
• Retrieval-Augmented Generation (RAG) Applications
• Basic Text-to-SQL Application
• Final Project