A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.

Open solution to the TalkingData AdTracking Fraud Detection Challenge

Data Mining Final Project

This is Kaggle Competition for predicting next 28 data sales for products in 3 states of United States

Predicting the time remaning for the next Earthquake. Kaggle Competition

multi-variate deep time series forecasting ensemble models

Determining whether two questions are asking the same thing can be challenging, as word choice and sentence structure can vary significantly. Traditional natural language processing techniques been found to have limited success in separating related question from duplicate questions. In this paper, we explore methods of determining semantic equi…

Heroku web service client for sklearn2sql

Earthquake Prediction using Regression Models

🟣 LightGBM interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

Predicting the medical costs charged by health insurers

A Light GBM and LSTM based model to predict whether a windows machine will soon be affected by a malware based on the specifications of the machine.

A logistic regression model with cross-validation strategy employed onto it to produce good enough results for India ML Hiring Hackathon 2019 and securing 410th rank.

Provide pricing prediction as guideline for future airbnb hosts

Sauti East Africa request for a segmentation analysis on all of their user's behavior. Sauti wishes to better optimize their menu design and explore the feasibility of smart menus based on user predicted behavior.

Solution to the Kepler exoplanet hunt by SmokeTrees

Salary prediction web application created using machine learning algorithms

The objective of this project is to predict whether or not an applicant will be able to repay a loan using historical data of user requesting a loan