Page Index - Nori12/Machine-Learning-Tutorial GitHub Wiki
44 page(s) in this GitHub Wiki:
- Home
- Machine Learning Tutorial
- Libraries
- Toolkit
- Useful Concepts
- Supervised Learning
- Algorithms for Supervised Learning
- Linear Models
- Naive Bayers Classifier
- Decision Trees
- Ensembles of Decision Trees
- Kernelized Support Vector Machines
- Neural Networks
- Applying ML Algorithm to a dataset
- BernoulliNB
- Bootstrap Sample
- Commands Overview
- Compressed Sparse Row (CSR)
- Concepts when Building a Random Forest model
- Coordinate List (COO)
- Create nonlinear models from linear models
- Decision Tree for Classification
- Decision Tree for Regression
- GaussianNB
- Gradient Boosted Regression Tree for Classification
- Kernelized SVM for Classification
- KNearest Neighbors
- L1 and L2 Regularization
- Lasso Regression
- Linear Regression
- Logistic Regression
- Multiclass Classification
- MultinomialNB
- Neural Networks
- Ordinary Least Square
- Plotting results
- R^2 Score
- Random Forest for Classification
- Ridge Regression
- Support Vector Machines
- Tree Analysis
- Understanding scikit learn datasets
- Understanding SVMs
- Visualizing dataset