Regression Techniques in Machine learning including topics from Assumption, Simple and Multiple Linear Regression. Both theory and python codes are included.

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

We will design a predictive model to predict the full-load power output of the Combined Cycle Power Plant Dataset from UCI ML repository and evaluate the performance of the model.

Using a linear regression method, we build a model to determine the relationship between independent and dependent variable, and then predict the sales. In the process, we will use a statistical point of view for validation.

In this project, we implement a linear regression model and its extensions on a student grades dataset to enhance performance. The workflow includes advanced EDA, data preprocessing, and assumption checks. Key steps: dataset overview, univariate and bivariate analysis, data preprocessing, model building(2nd degree,l1,l2,EN) and result visualization

Linear Regression Project

Predicting Used Car Price with Linear Model

A Multiple Linear Regression project used to predict ride fares to optimize revenue growth.

Regression Analysis project

Skript zur Videoreihe Regressionsdiagnostik in R

Building a statistical model using wine dataset

The project provides a Regression on the Insurance Prediction Data which shows the features of individuals, tuned using Ridge & Lasso.