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A Visual Introduction to Machine Learning
In machine learning, computers apply statistical learning techniques to automatically identify patterns in data.
decision-trees random-forests r2d3 decision-tree
Neural-Backed Decision Trees
Combine interpretability of a decision tree with accuracy of a neural network.
decision-trees neural-networks deep-learning interpretability
Diabetes Classifier
The machine learning model uses DecisionTree classifier to predict whether a person is diabetic or not
decision-trees machine-learning exploratory-data-analysis data-science
LightGBM - Light Gradient Boosting Machine
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms.
gradient-boosting decision-trees lightgbm library
A high-performance open source library for gradient boosting on decision trees
gradient-boosting decision-trees catboost library
Core Machine Learning Implementations
This repo contains mathematical derivations and python implementations in numpy for key machine learning algorithms
linear-regression logistic-regression neural-networks k-nearest-neighbors
Examples for all the different utilities within scikit-learn.
scikit-learn naive-bayes linear-regression logistic-regression
Bike rental count prediction'
Bike-rental-count-prediction The objective of this Case is to Prediction of bike rental count on daily basis on the environmental and seasonal settings.
machine-learning random-forests decision-trees decision-tree
Detecting phishing website using Machine Learning
The project is based on a dataset that has 30 labels and 1 target. The purpose of this project is to detect Phishing websites through Machine learning ...
phishing decision-trees scikit-learn machine-learning
House Prices: Advanced Regression Techniques
This project aims to predict the House Prices in Boston, given various features describing the house.
regression multinomial-regression decision-trees random-forests
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