Bootcamp curriculum

    1. Introduction

      FREE PREVIEW
    2. Lecture 1: Machine Learning Basics

      FREE PREVIEW
    3. Lecture 2: Bias-Variance Trade-off

      FREE PREVIEW
    4. Lecture 3: Overfitting & Regularization

    5. Lecture 4.1: Causal Analysis & Linear Regression (from Fundamentals to Statistics)

    6. Lecture 4.2: Linear Regression & Ordinary Least Squares (OLS)

    7. Lecture 5: Logistic Regression & Maximum Likelihood Estimation (MLE)

    8. Lecture 6: Linear Discriminant Analysis (LDA)

    9. Lecture 7: K-Nearest Neighbors (KNN)

    10. Lecture 8: Decision Trees

    11. Lecture 9: Bagging

    12. Lecture 10: Random Forest

    13. Lecture 11: Boosting (Part 1) Introduction

    14. Lecture 12: Boosting (Part 2) - AdaBoost

    15. Lecture 13: Boosting (Part 3) - Gradient Boosting Model (GBM)

    16. Lecture 14: Boosting (Part 4) - XGBoost

    17. Lecture 15: Clustering (Part 1) - K-Means & Elbow Method

    18. Lecture 16: Clustering (Part 2) - Hierarchical Clustering

    19. Lecture 17: Clustering (Part 3) - DBSCAN

    20. Lecture 18: Dimensionality Reduction (Part 1) - Feature Selection

    21. Lecture 19: Dimensionality Reduction (Part 2) - Principal Component Analysis

    22. Lecture 20: Resampling Techniques (Part 1) - Cross Validation

    23. Lecture 21: Resampling Techniques (Part 2) - Bootstrapping

    24. Lecture 22: Optimization Techniques - Grid-Search, GD, SGD, SGD-Momentum, Adam

    25. Fundamentals to Machine Learning Quiz

    1. ML Interview Preparation E-book Guide

    2. Ebook: Machine Learning Interview Guide

    3. Extra: Data Science Interview Content and Preparation

    1. Free Resources Guide

    2. Free Resources for Fundamentals to Machine Learning

About this course

  • 30 lessons
  • Quizzes
  • Interview Preparation
  • Free Resources

Ignite Your Career Path. We'll Fuel Your Success.

Tatev Karen Aslanyan (Instructor & Co-Founder of LunarTech) Vahe Karen Aslanyan (Co-Founder of LunarTech)