Showing 1-13 of 13 projects
100-day ML coding challenge with implementations and tutorials
Open-source machine learning library in Python with implementations of popular algorithms like kNN, decision trees, and SVM.
An open-source, distributed machine learning platform with support for various algorithms and autoML.
ggstatsplot is an R library that enhances ggplot2 visualizations with statistical analysis and hypothesis testing.
Pytorch implementations of various Bayesian neural network techniques for approximate inference and uncertainty quantification.
A comprehensive survey of text classification algorithms and techniques in Python.
This is a code repository for the book 'Think Bayes', which covers Bayesian probability and statistics.
A Python library for sentiment analysis on tweets using various machine learning models.
General Assembly's 2015 Data Science course covering topics like machine learning, data analysis, and data visualization.
A Python library for deep probabilistic analysis of single-cell and spatial omics data.
An open-source Python library for sentiment polarity analysis using various machine learning techniques.
A Python library for sentiment analysis, text classification, and other machine learning tasks on Weibo data.
Visualizing MBTA (Massachusetts Bay Transportation Authority) data using JavaScript.
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