Machaine learning camp : 4 week

Format: Live instructor-led sessions + hands-on projects Tools: Python, Jupyter Notebooks, Scikit-learn, Google Colab ⸻ 🔍 Course Objectives By the end of this course, students will be able to: • Understand the basics of Machine Learning and its real-world applications • Write Python code to implement basic ML models • Work with datasets to perform predictions and classifications • Build simple ML projects using tools like Scikit-learn ⸻ 🗓️ Week-by-Week Outline ⸻ Week 1: Introduction to Machine Learning & Python Foundations Goals: Understand what ML is and get comfortable with Python. • What is Machine Learning? (Supervised vs. Unsupervised) • Real-world examples of ML (YouTube, Netflix, self-driving cars) • Python basics refresher: variables, loops, functions • Intro to Google Colab & Jupyter Notebooks • Mini Project: Predicting student grades using simple logic ⸻ Week 2: Data Handling & Visualization Goals: Learn to clean and visualize data effectively. • What is a dataset? Structure, features, labels • Loading data using Pandas • Data cleaning: handling missing values, normalization • Visualization with Matplotlib & Seaborn • Mini Project: Visualizing COVID-19 cases or weather patterns ⸻ Week 3: Building Your First Machine Learning Models Goals: Understand core ML models and their application. • Introduction to Scikit-learn • Supervised Learning: Linear Regression & K-Nearest Neighbors • Classification vs. Regression • Training vs. Testing sets, accuracy • Mini Project: Predicting house prices or classifying iris flowers ⸻ Week 4: Real-World Projects & Next Steps Goals: Apply everything learned to complete a hands-on ML project. • Decision Trees and Random Forest (brief intro) • Building a complete ML pipeline (data → model → evaluation) • Final Project: Students choose between: • Predicting movie ratings • Identifying handwritten digits (MNIST) • Classifying animals from features • Introduction to Next Steps: Deep Learning, AI Ethics, Kaggle ⸻ 🎓 Outcomes & Extras • Certificate of Completion • Nexclap access: tutorial videos, assignments, and tracking • Verified profile via NexGenKlick • Optional: Share final project in a demo day or blog