Machine Learning
Topics in Machine Learning, with the public notes and resources people share on it.
Topics
Public notes
- Types of Learningby LearnViaNotes
- Train, Validation & Test Setsby LearnViaNotes
- Time-Series Basicsby LearnViaNotes
- Support Vector Machinesby LearnViaNotes
- Hypothesis Tests & Significanceby LearnViaNotes
- ROC, PR, Thresholds & Calibrationby LearnViaNotes
- Regularization: L1, L2 & Elastic Netby LearnViaNotes
- Regression Metricsby LearnViaNotes
- Recommender Systemsby LearnViaNotes
- Bagging & Random Forestsby LearnViaNotes
- Framing an ML Problemby LearnViaNotes
- Probability, Bayes & Distributionsby LearnViaNotes
- PCA & Dimensionality Reductionby LearnViaNotes
- Naive Bayesby LearnViaNotes
- Choosing & Combining Modelsby LearnViaNotes
- End-to-End Pipeline: Pipeline & ColumnTransformerby LearnViaNotes
- Missing Values & Outliersby LearnViaNotes
- Loss Functions & Gradient Descentby LearnViaNotes
- Logistic Regressionby LearnViaNotes
- Linear & Polynomial Regressionby LearnViaNotes
Resources
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