Valuemax Tech Academy
VALUEMAX® Tech Academy
🤖 2026 Edition

Machine Learning

ML
Core
Models
Train
Eval
Metrics
Deploy
Basics

What this course is

Supervised and unsupervised learning, feature engineering, model evaluation, and practical ML workflows in Python.

What you will use it for

Prediction systems, classification, recommendation prototypes, and automation where rules alone fail.

Careers after completion

Machine learning engineer (junior), data scientist, AI product analyst, research ML assistant, analytics lead.

Why we learn it this way

Built on Python + EDA so learners model with purpose—each algorithm tied to business questions, not notebook tourism.

Course Outline

Day 1ML Foundations — The Complete Framework
Day 2Preprocessing, Feature Engineering & Scikit-learn Pipelines
Day 3Model Evaluation — The Most Important Day
Day 4Linear Models & Regularisation
Day 5Tree-Based Models & Gradient Boosting
Day 6SVM, KNN, Naive Bayes & Ensemble Methods
Day 7Unsupervised Learning — Clustering
Day 8Dimensionality Reduction — PCA, t-SNE & UMAP
Day 9Hyperparameter Tuning & Model Selection
Day 10Production ML — Pipelines, Saving & Serving Models
Day 11Time Series ML
Day 12Capstone — End-to-End ML Project & Interview Prep