Page Index - Nori12/Machine-Learning-Tutorial GitHub Wiki
75 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
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- BernoulliNB
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- Bootstrap Sample
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- Commands Overview
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- Compressed Sparse Row (CSR)
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- Concepts when Building a Random Forest model
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- Coordinate List (COO)
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- Create nonlinear models from linear models
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- Decision Tree for Classification
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- Decision Tree for Regression
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- GaussianNB
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- Gradient Boosted Regression Tree for Classification
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- Kernelized SVM for Classification
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- KNearest Neighbors
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- L1 and L2 Regularization
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- Lasso Regression
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- Linear Regression
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- Logistic Regression
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- Multiclass Classification
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- MultinomialNB
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- Neural Networks
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- Ordinary Least Square
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- Plotting results
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- R^2 Score
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- Random Forest for Classification
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- Ridge Regression
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- Support Vector Machines
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- Tree Analysis
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- Understanding scikit learn datasets
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- Understanding SVMs
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- Visualizing dataset
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