Quora Question Pairs

This repository provides Lastools and R based scripts for 3D LiDAR data processing and imputation modelling for yield prediction at plot and individual tree levels

A project submitted for "APPLICATIONS OF STATISTICS IN INDUSTRY"(Summer 2021) course at METU, implemented in R. Project includes exploratory data analysis, missing data treatment and random forest implementation. Packages used are "ggplot2", "mice", "purrr", "randomForest", "caret", "e1071" and "ROCR".

This project implements a flight price prediction algorithm using real-time data of Flight schedules across India.Here we have evaluated multiple ensemble machine learning techniques, optimizing the model with XGBoost and Random Forest algorithms to deliver high-performance predictive insights.

Using Dognition dataset to calculate similarity in activeness pattern among dogs with different demographic features.

Visualising 2Way Random Forest Interactions

ML project on stock market prediction with Japanese Candlestick Pattern Recognition for Ashoka University

Heart Failure dataset analysis using homemade and SKlearns algorithms

This project aims to predict customer churn using machine learning algorithms. The project includes data preprocessing, feature engineering, and model evaluation.

Repositorio que contiene los scripts y explicaciones en R para elaborar un estudio del data set Titanic por medio de un proceso de preprocesado de datos, regresión logística para la selección de variables y árboles de decisión. Prácticas de la asignatura Tratamiento Inteligente de Datos.

renewal of policies McK hackathon

This is one of the Projects which was done in interest to learn the difference between the different classification algorithm and derive a solid conclusion from that. It scrap sthe data from youtube and related to six different classes and then by using different classification algorithm it classifies them.

Built a classifier model to identify who is more influential among two Social Media users for various account attributes

Finding High redshift quasars in large survey data using random forests. Code of Wenzl et al. 2021

Introduction to Data Science Group Assignment: Obesity Risk Assessment Data Product

The Loblaw Data Analysis project is an initiative aimed at extracting valuable insights from large datasets collected by Loblaw Companies Limited, one of Canada's largest food and pharmacy retailers. Leveraging advanced data analysis techniques and machine learning algorithms, this project seeks to uncover trends, patterns, and correlations within

Health-insurance-cross-sell-prediction

Exploratory Data Analysis & Data Modeling