Avalon — Machine Learning Study Group & Knowledge Hub
Learn Machine Learning
From Python & Math to Industry ML Projects
Avalon is a modern documentation platform and CMS built for our study group to write, document, search, and master ML concepts, Scikit-Learn pipelines, LaTeX math, and code notebooks.
8+
Core ML Categories
LaTeX Math
KaTeX Formula Support
Live CMS
Tiptap & MDX Admin
Cmd + K
Instant Instant Search
ML Topic Curriculum
Structured learning tracks from vector spaces to transformer fine-tuning.
Avalon Study Curriculum
Avalon Master Learning Roadmap
6 sequential phases from Python & Statistics to Scikit-Learn, The Genius Move strategy, and Industry ML Projects.
1.0 Done
Learn Python & Data Foundations
- Jupyter Notebook Setup
- Pandas Basics & Joins
- NumPy Vectorized Ops
- Plotting & Stats
2.0 Done
Basic Statistics & Probability
- Descriptive Statistics
- Probability Distributions
- Hypothesis Testing
- Z/t-tests & p-values
3.0 Active
Core ML Concepts & Algorithms
- Linear & Logistic Regression
- Decision Trees & Ensembles
- Random Forests, Boosting & SVM
- ISLR Book Reference
4.0 Active
Scikit-Learn Mastery
- Scikit-Learn 1.4.2 Tutorials
- API Documentation
- Estimator Pipelines
- Evaluation Metrics
5.0Upcoming
Practice ML (The Genius Move)
- 1. Implement from Scratch
- 2. Implement in SKLearn (Toy)
- 3. Benchmark Custom vs SKLearn
6.0Upcoming
End-to-End Industry Project
- 8-Step Project Lifecycle
- EDA & Hypothesis Testing
- Feature Engineering
- Baselines to Ensemble Tuning
Contributors & Researchers