Machine Learning Bootcamp

The Machine Learning (ML) Bootcamp is a hands-on, industry-focused program designed to help you master the core principles of ML while building real-world applications step by step. You’ll learn using the essential tools of a modern ML engineer: Python, NumPy, Pandas, Matplotlib, Scikit-Learn, and foundational math for modeling and optimization. Throughout the bootcamp, you’ll build practical, portfolio-ready projects, including: Real-World Projects You Will Build - Customer Churn Predictor — predict user retention using logistic regression and feature engineering. - Spam Detection System — build a machine learning text classifier using TF–IDF + SVM or Naive Bayes. - House Price Prediction Model — regression modeling with tuning and cross-validation. - Recommendation Engine (ML-based) — build a simple recommender using similarity metrics or clustering. - Fraud Detection Pipeline — anomaly detection using unsupervised learning techniques. - Full End-to-End ML API — train a model, package it, and deploy it via a REST API. You’ll gain practical skills in: - Data cleaning, pipeline automation, and exploratory data analysis - Supervised & unsupervised learning - Model selection, hyperparameter optimization, and evaluation - Deployment fundamentals (Flask/FastAPI) Writing clean, production-ready ML code By the end, you’ll walk away with multiple resume-quality projects, the ability to design ML systems from scratch, and the confidence to deploy real applications.