This analysis is based on the optional quiz for the regression models course at coursera, by the University of John Hopkins

Distribution analysys of a linear regression coeficients

Jupyter Notebook of sinusoidal regression of Yuba River data from USGS NWIS

This is an analysis on movies created in 2014 and 2015 which utilizes multiple linear regression analysis to predict the financial success of films and investigate the relationship between screens and year.

Predicting fuel efficiency of cars using multiple linear regression.

A simple data generator, suitable for data scientist. can generate celsius or fahrenheit and convert to its equivalent

generation Y vs Z performance comparison - mixed modelling

Building a Logistic Regression model using R

IDS project

An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.

If you liked my analysis, pls upvote my notebook!

Regression Analysis About Engines & CO2 Emissions

Repository containing data and code for the ANLY511 (Probabilistic Modeling and Statistical Computing) final project.

The ppt is about the project on the Statistical analysis on a Maternal Mortality risk dataset . The dataset is fatch from www.kaggle.com. In this project data is analysis using different statistical tool and technical tools like Excel and SPSS . After conclusion and interpretation of data one prediction model is created which will help in predic…

Data analysis of TikTok trending tracks, featuring correlation and regression analysis. More info in reports (in Ukrainian).

It's a real simple yet useful project as entrance to the world of Data. This project is about predicting house prices based on historical data with Linear Regression. Is Python based helped by pandas, statsmodels and matplotlib libraries. Uses OLS (Ordinary Least Squares)

🏠🏠 Predict sales prices and practice feature engineering 🏠🏠

a comprehensive guide and codebase for conducting regression analysis using the R programming language. This repository aims to help users gain a better understanding of regression techniques and how to apply them effectively using R.

Repository of machine learning basics