Stock market prediction on 5 italian companies using VAR model, OLS regressions and LSTM recurrent neural networks over data retrieved from Refinitiv Eikon

Detailed implementation of various regression analysis models and concepts on real dataset.

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.

For a real estate firm, building a house price prediction model based upon various factors. Problem - Regression | Algorithm used -Linear Regression using OLS

This project is about statistically analyzing risk factors for heart disease and performing A/B testing, descriptive and inferential statistics to provide health care plans and strategies to better understand the risk factors assocaited with heart disease and give key insights into what factors contribute most heavily and least heavily to the de…

A collaborative project looking into the likelihood of Covid-19 infection in the United States.

Estimate the impact of OIL and USD towards CPI using least squares method using R

Homework 1 for the INTL 601 Quantitative Research Methods Course, Prof. David Carlson, Koç University.

Streamlit app that visualizes data on CO2 emissions and GDP

Our study focused on using the Big Five personality inventory to predict traits from students' smartphone sensor data collected over 2 months under the Horizon Europe project. Through correlation analyses and machine learning with cross-validation, we showed that predictions are reliable and accurate enough for practical use.

This project is about to use linear regression to examine the relationship between various economic variables and the mortgage rate in the United States.

ML sprint (OLS, KNN, scikit-learn) from Le Wagon Women in Machine Learning event.

ORDINARY LEAST SQUARE METHOD

Análise dos dados do Campeonato Brasileiro no atual formato.

Applying econometric analyses based on a videogame consoles dataset, using statistical software (Stata) and evaluate the results.

Previsão do índice IPCA até o fim de 2025.

I used the New York Bike Counts dataset to formulate a hypothesis about the number of bikes crossing the Brooklyn Bridge. This dataset contains the number of bikes that crossed each bridge during each day. I first used this dataset to formulate a hypothesis and then used linear regression to test if my hypothesis was correct.

Data Science - Simple Linear Regression Work

Simple Linear Regression using Ordinary Least Squares

An in-depth analysis of a gaming retailer's customer data to improve overall sales performance through enhanced understanding of customer behavior and loyalty patterns.