Now accepting a limited number of private 1-on-1 clients for 2026.
Machine Learning 3 Months Intermediate Live · 1-on-1

Machine Learning A-Z

Complete machine learning course covering all major algorithms, mathematics, coding, and real-world projects. From linear regression to ensemble methods.

4.8 (85 reviews) Taught one-to-one Certificate on completion

Our flagship Machine Learning course covers every major ML algorithm with both mathematical intuition and hands-on Python implementation. This is the course that has trained 2000+ ML engineers since 2018.

Over 3 months of intensive live Zoom classes (4 days/week, 90 min each), you will work on real datasets, build complete ML pipelines, and learn to deploy models to production. With 48 sessions of focused training, you will have deep expertise in every major ML technique.

  • Mathematics for ML: linear algebra, calculus
  • Statistics & probability essentials
  • NumPy, Pandas, Matplotlib mastery
  • Data preprocessing & cleaning
  • Exploratory Data Analysis
  • Feature scaling & encoding

  • Linear regression (simple & multiple)
  • Logistic regression & classification
  • Decision trees & Random Forests
  • Support Vector Machines
  • K-Nearest Neighbors
  • Naive Bayes classifier

  • K-Means & hierarchical clustering
  • PCA & dimensionality reduction
  • Anomaly detection
  • Ensemble methods: Bagging & Boosting
  • XGBoost & LightGBM mastery
  • Hyperparameter tuning & cross-validation

  • Advanced feature engineering
  • Handling imbalanced data
  • Model evaluation & selection
  • Model serialization & versioning
  • Flask/FastAPI deployment
  • ML pipelines & monitoring

What You'll Learn

  • Implement all major ML algorithms with deep understanding
  • Build end-to-end ML pipelines from data to deployment
  • Master feature engineering and model evaluation
  • Deploy ML models with Flask/FastAPI
  • Handle real-world data challenges confidently
  • Prepare for ML engineer interviews and roles

Tools & Technologies You'll Master

Python
Scikit-learn
XGBoost
LightGBM
Pandas
NumPy
Flask
MLflow

Basic math (10+2 level) is sufficient. We cover all required mathematics (linear algebra, statistics, calculus) in the course.

You need Python programming knowledge. Complete our Python foundation course first if you are new to programming.

Live Zoom classes, Monday to Thursday, 7:00 PM to 8:30 PM IST. 4 days per week, 90 minutes each session.

Ready to build with AI?

Request a private consultation. We'll discuss your goals and your company, agree a schedule, and pair you with your trainer, Christina Pradhan Mitra. Places are limited — every seat is one-to-one.

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