Beginner Track
ML Foundations
Build a strong foundation in Python, mathematics, and core ML algorithms
6-12 weeks
4 courses
52 lessons
Your Progress2/52 lessons
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Python for Machine Learning
Master Python fundamentals and essential libraries: NumPy, Pandas, Matplotlib
In Progress
Course Progress40%
3 weeks•15 lessons•2 projects
1Week 1: Python Fundamentals
Core Python syntax and programming concepts
2Week 2: Data Science Libraries
NumPy, Pandas, and data manipulation
3Week 3: Data Visualization
Creating informative visualizations
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Statistics for ML
Statistical foundations essential for machine learning
Locked
2 weeks•10 lessons•1 projects
1Week 1: Probability & Distributions
Probability theory and common distributions
2Week 2: Statistical Inference
Hypothesis testing and confidence intervals
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Linear Algebra for ML
Essential matrix operations and transformations for deep learning
Locked
2 weeks•8 lessons•1 projects
1Week 1: Vectors & Matrices
Fundamental operations with vectors and matrices
2Week 2: Advanced Topics
Eigenvalues, SVD, and applications
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ML Fundamentals
Core machine learning algorithms and concepts
Locked
4 weeks•20 lessons•3 projects
1Week 1: Introduction & Regression
ML basics and linear regression
2Week 2: Classification
Classification algorithms
3Week 3: Model Evaluation
Evaluating and improving models
4Week 4: Ensemble Methods
Combining models for better performance