COVID-19 Vulnerability Index

Detection and Prediction of Air quality Index

this is my repository for the quick draw prediction model project

LiFePo4(LFP) Battery State of Charge (SOC) estimation from BMS raw data

Web application for earthquake prediction in a window of few future days. live data collection from https://earthquake.usgs.gov/

Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python

this is my repository for Amazon review helpfulness prediction model

My solution for Quora's Question Pair contest on Kaggle.

This is a Liver Disease Machine Learning Classification Capstone Project in fulfillment of the Udacity Azure ML Nanodegree. In this project, you will learn to deploy a machine learning model from scratch. The files and documentation with experiment instructions needed for replicating the project, is provided for you.

Machine-Learning: eXtreme Gradient-Boosting Algorithm Stress Testing

Codes and templates for ML algorithms created, modified and optimized in Python and R.

Advance Time Series Analysis using Probabilistic Programming, Auto Regressive Neural Networks and XGBoost Regression.

Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. Thi…

The Complete Journey Dataset: Churn Prediction

World Health Organization has estimated 12 million deaths occur worldwide, every year due to Heart diseases. Half the deaths in the United States and other developed countries are due to cardio vascular diseases.

Classifying audio files using ML algorithms.

使用比赛方提供的脱敏数据，进行客户信贷流失预测。

By using feature engineering technique and XGBoost algorithm to predict house price

I'm attempting the NYC Taxi Duration prediction Kaggle challenge. I'll by using a combination of Pandas, Matplotlib, and XGBoost as python libraries to help me understand and analyze the taxi dataset that Kaggle provides. The goal will be to build a predictive model for taxi duration time. I'll also be using Google Colab as my jupyter notebook.…