A repository for a machine learning project about developing a hybrid movie recommender system.
-
Updated
Nov 3, 2021 - Jupyter Notebook
A repository for a machine learning project about developing a hybrid movie recommender system.
A machine learning project to predict NCAA Men's Basketball outcomes
Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification
🌲 broom helpers for decision tree methods (rpart, randomForest, and more!) 🌲
A Unified Framework for Random Forest Prediction Error Estimation
Recursive Partitioning for Structural Equation Models
Lung Cancer Prediction using Machine Learning Algorithms
Web App and Random Forest - Loan Approval Prediction
Fraud detection using lgb, catboost, rf, etc
Plot tree based machine learning models
CLI tool for testing Office documents with macros using MaliciousMacroBot
PUBG- PlayerUnknown's BattleGrounds (PUBG)
An R package for Private Evaporative Cooling feature selection and classification with Relief-F and Random Forests
Analytics Vidhya Hackathon
TFG realizado en la Universidad de Burgos del desarrollo de una aplicación para el uso de un Radar de 60 GHz de la marca Acconeer.
This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.
Kaggle Competition: Backpack Price Prediction. Built ML models (Linear/Ridge Regression, XGBoost, etc.) with EDA, feature engineering, and MAE evaluation (best ~39.18). Includes notebooks for data preprocessing, model training, and insights. Great for learning regression techniques and Kaggle workflows
Prediction of Customer Churn using Spark Mllib
Random Forest algorithm
Apache Spark machine learning project using pyspark
Add a description, image, and links to the randomforest topic page so that developers can more easily learn about it.
To associate your repository with the randomforest topic, visit your repo's landing page and select "manage topics."