Internship Weeks
Week 1
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Day 1 – Internship Induction & AI Overview
Day 2 – Python Basics
Day 3 – Functions & Modules
Day 4 – Data Structures
Day 5 – NumPy Basics
Week 2
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Day 1 – Pandas Introduction
Day 2 – Data Cleaning
Day 3 – Exploratory Data Analysis (EDA)
Day 4 – Data Visualization
Day 5 – Mini Task
Week 3
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Day 1 – Statistics Basics
Day 2 – Probability Concepts
Day 3 – Linear Algebra
Day 4 – Calculus for ML
Day 5 – Practice Session
Week 4
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Day 1 – ML Introduction
Day 2 – ML Workflow
Day 3 – Train-Test Split
Day 4 – Model Evaluation Metrics
Day 5 – ML Case Study
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