Simple Implementation of Gradient Boosted Trees

sentiment analysis using the movie reviews from the imdb database

This project compares multiple bagging and boosting methods for anomaly detection for the Gecco challenge.

A Spark application for weather forecasting using ensemble of tree-based models, trained on long-term historical data.

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

Machine learning project comparing several algorithms to predict the outcome of shelter animals. Based on the former Kaggle competition: https://www.kaggle.com/c/shelter-animal-outcomes.

Worked on three use cases- Churn data analysis, Movie recommendation engine and Intrusion detection system.

Sequential skip prediction using deep learning and ensembles

Machine learning multiclassification task in particle physics experiment (Belle II) with deep neural networks (DNN) and gradient boosted decision trees (XGBoost).

This is team 2's work for Project 2.

In this repository, I implemented Gradient Boosting Trees using XGBoost to predict customer churn. The "Churn-modeling" dataset was downloaded from Kaggle.

In this project I wanted to predict attrition based on employee data. The data is an artificial dataset from IBM data scientists. It contains data for 1470 employees. Te dataset contains the following information per employee:

Using XGBoost , Gradient Boosted Trees to perform advanced regression and classification on structured tabular data

A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

Projects for ECE 475 - Freq. Machine Learning

ML models trained on the SARCOS dataset

Predicting the daily sales of Rossmann Stores

Gained insights into the New York City Airbnb rental properties and concluded the neighbourhoods with most attractive Airbnb rentals and the type of rental properties with most reviews. Furthermore, concluded the economic viability of the rentals with missing reviews through machine learning models such as k-NN, decision tree and gradient booste…