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Classical ML Practitioner

Intermediate

Master traditional machine learning algorithms. From decision trees to SVMs, learn the workhorses of industry ML.

4 lessons9 exercises~8 hours

Progress0/13 completed

Lessons

Classical ML: Decision Trees & Random Forests

55 min · Intermediate

Classical ML: Model Evaluation & Metrics

50 min · Intermediate

Data Science: Cleaning & Feature Engineering

55 min · Intermediate

Reinforcement Learning Fundamentals

60 min · Intermediate

Implement Cosine Similarity

15 min · Linear Algebra

Implement Gradient Descent Step

20 min · Optimization

Implement K-Nearest Neighbors

25 min · Machine Learning

Matrix Multiplication

15 min · Linear Algebra

Linear Regression Prediction

10 min · Machine Learning

Logistic Regression (Sigmoid Prediction)

12 min · Machine Learning

Precision, Recall, and F1 Score

15 min · Model Evaluation

Confusion Matrix

10 min · Model Evaluation

Min-Max Normalization

10 min · Data Preprocessing