Repository Index

100 Days of ML Coding

• machine-learning
• machine-learning-algorithms
• infographics
• tutorial

TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2

• fp-growth
• apriori
• mahchine-leaning
• naivebayes

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

• machine-learning
• deep-learning
• deep-reinforcement-learning
• machine-learning-from-scratch

The "Python Machine Learning (1st edition)" book code repository and info resource

• machine-learning
• machine-learning-algorithms
• logistic-regression
• data-science

Translated:zap: Machine Learning in Action (Python3): kNN, decision tree, Bayes, logistic regression, SVM, linear regression, tree regression

• adaboost
• logistic
• svm
• smo

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

• tensorflow
• machine-learning
• regression
• convolutional-neural-networks

A collection of research papers on decision, classification and regression trees with implementations.

• decision-tree
• decision-tree-classifier
• gradient-boosting
• gradient-boosting-machine

🕶️ A curated list of resources around the topic: visual regression testing

• awesome
• test-automation
• testing
• testing-tools

A curated list of data mining papers about fraud detection.

• fraud-detection
• fraud-prevention
• fraud-checker
• fraud-management

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

• svm
• regression
• classification
• machine-learning