K-Nearest Neighbors, Decision Tree, Naive Bayes, Random Forests and Ada-boost.
-
Updated
Dec 27, 2017 - Python
K-Nearest Neighbors, Decision Tree, Naive Bayes, Random Forests and Ada-boost.
Machine Learning: Decision Tree
✔️Repositório do curso de Machine Learning no Iesb
With Spark, you can associate column names and scores with which feature are important in Decision Tree training results
Dataset is from Washington DC's bike Rental program. This project is to predict bike rentals by hour.
A predictive machine learning model to guess housing prices using decision tree regression with %90+ accuracy
Applied different ML algorithms like Linear Regression, Decision tree and Random forest using Scikit-learn library.
The goal of our project is to implement a classification of the San Francisco crime data with a decision tree.
Implementation of Decision Tree using two heuristics for Assignment 01 of the course CS6375: Machine Learning.
Machine learning projects solved with the help of various classification model and finding the best accuracy out of all.
Titanic Survior Prediction in ML Using Decision Tree (Entropy)
DecisionTree and RandomForest for Regression from Kaggle micro-courses
A Tic Tac Toe game that uses a Decision Tree Module to study older moves and decise the next move
Building a decision tree for the choice of dinner using entropy
Model and fit several classification models using Scikit-Learn.
SPSS to build decision tree, KNN and classification models
JOB-A-THON_2020| hosted by Analytics Vidhya
Add a description, image, and links to the decision-tree topic page so that developers can more easily learn about it.
To associate your repository with the decision-tree topic, visit your repo's landing page and select "manage topics."