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Awesome Gradient Boosting Papers ⭐ 930

A curated list of gradient boosting research papers with implementations.

Stock Market Sentiment Analysis ⭐ 38

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe th

Machinelearningseries ⭐ 28

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Ml Algorithms ⭐ 22

List of some top machine learning algorithms. Just give a dive and explore the world of ML

Rulediscovery ⭐ 14

Two algorithms based on linear programming to discover classification rules for interpretable learning.

R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.

Machine_learning_basics ⭐ 5

This is repository about the MachineLaering Basics including all the Machine learning Algorithms

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Machine Learning Random Forest (662)

Jupyter Notebook Random Forest (611)

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