panastasiadis/data-mining-operations

This repository contains three Knime workflows that aim to analyze the Air Traffic Passenger Statistics dataset from the San Francisco International Airport. The workflows include tasks such as classification comparison, regression analysis, and outlier detection using various machine learning techniques.

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htwu1998/DataCamp_Projects

Collections of supervised project completed using Python on DataCamp.

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fahadabid545/Linear-Regression

A simple implementation of Linear Regression using Python and scikit-learn to predict continuous target variables. This repository demonstrates basic model building, data preprocessing, and evaluation on real-world dataset.

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haidendr/SAS

collection of SAS work

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Projects-Developer/Car-Price-Prediction-Project

This project aims to develop a machine learning model that predicts the prices of cars based on various factors such as make, model, year, mileage, engine size, and fuel type. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

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rominagoodarzi/EPS-Forcast-Linear-Study

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fenditsim/building_a_table_of_multiple-linear-regression_models_with_stargazer

Exhibiting results of multiple linear regressions in a table with stargazer (R package).

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krishcy25/PyCaret-RegressionModels-HousePricePrediction-KaggleCompetition

This repository contains code to build 21 Regression Machine Learning Models to predict the house price in Python using PyCaret. Models are compared against the statistics (RMSE), best model was picked, tuned, saved/loaded for model deployment and used to predict the observations on unseen data. The final file with predictions on unseen data was submitted to Kaggle Competition placing me in Top 20%

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