A basic analysis of poverty with a special emphasis on the United States.
Predicción de los precios de viviendas mediante machine learning con algoritmo bosque aleatorio.
Analyzed the crime events that occurred in the City of Chicago, from 2001 till January 2017, using the data provided from Chicago Police Department’s CLEAR (Citizen Law Enforcement Analysis and Reporting) System
An R Companion for the Applied Linear Statistical Models by Kutner, Nachtsheim, Neter, and Li (2005).
For the kaggle project - Loan Interest Rate Prediction, the repository contains the deployment details, project documentation file and project link.
MLFND boston housing prices prediction project.
Determine concrete compressive strength
A data-based approach to analyse and compare prices and characteristics of Airbnbs listings in Montreal and Toronto and identify the key factors affecting their prices.
This repository consists of all the assignments i have done as a part of the neural networks lab which was a part of my curriculum.
In the project we built the following algorithms : Decision Tree Classifiier and Regressor, AdaBoost Classifiier , Gradient Boost Regressor
My capstone project for Ryerson's Data Analytics, Big Data, and Predictive Analytics. The project I worked on was based on an open competition project called DengAI: Predicting Disease Spread. The objective of the project was to predict the total number of cases in the testing set of Iquitos, Peru & San Juan, Puerto Rico.
Regression Model to predict the estimated hospitalisation for a patient to test a new drug for Diabetes using EHR data
Examine the features of used cars posted on CarGurus at different times and locations to predict the selling price
This repository contains files on Predict probability whether a given blight ticket will be paid
In this project, we will evaluate the performance and predictive power of a model that has been trained and tested on data collected from homes in suburbs of Boston, Massachusetts.
Data Mining project. In this project I tried to predict the number of likes of the videos through some machine learning models.
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
Textual analysis of Investment themed subreddits to predict future stock returns
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