100 Days of ML Coding
- machine-learning
- machine-learning-algorithms
- infographics
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100 Days of ML Coding
TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
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.
The "Python Machine Learning (1st edition)" book code repository and info resource
Translated:zap: Machine Learning in Action (Python3): kNN, decision tree, Bayes, logistic regression, SVM, linear regression, tree regression
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
A collection of research papers on decision, classification and regression trees with implementations.
🕶️ A curated list of resources around the topic: visual regression testing
A curated list of data mining papers about fraud detection.
Visual regression testing using Jest, Chromeless and AWS Lambda.
An example of implementing linear regression in Ruby.