A minimal Python library for gene regulatory network inference.

Data science project on Dota game stats data

House price prediction using ensemble methods including AdaBoost, Gradient Boost and XGBoost.

✔️Repositório do curso de Machine Learning no Iesb

Reverse engineered the pricing structure of a competitor using machine learning algorithm (Gradient Boosted Trees)

Testing word classification by novel machine learning methods on a complaints dataset

This repository contains some classification algorithms which predicts the movement of the mid-price for a pair of currencies namely INR and USD.

Machine Learning project which predicts the revenue of a start-up and helps entrepreneurs take informed decisions.

Use transaction, demographic and offer data to determine which demographic groups respond best to which offer type and possible ways to use historical data to reduce ad spending

Testing multiple machine-learning algorithms to best predict potential water-well failure in Tanzania.

Predict the price of a used car in the Greater Cleveland area.

In this project, we will analyse customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn and identify the main indicators of churn.

A dengue prediction model created as a part of Environment Studies offered in S4, CSE NITC

Final project of the Data Visualization course, Ariel university.

Predicting house prices using Ridge, SVR, GBR, XGBoost, LightGBM, Random Forest and Stacked CV

This Repo Explores Regression Analysis, using an example based on a real study in which data on different attribrutes of used/refurbished mobile phones were collected, the objective being to analyze the data provided and build a linear regression model to predict the price of a used phone and identify factors that significantly influence it

Predict sales prices and practice feature engineering, RFs, and gradient boosting

Case study of a time-series regression task for 24h wind forecasting. Investigation of OLS, XGB and MLP applications.