Solution Paths of Sparse Linear Support Vector Machine with Lasso or ELastic-Net Regularization

Code for my Master's Dissertation in the MSc Statistical Science at the University of Oxford

Promotion-Based Sales Forecasting: Optimizing Demand Planning

Bu proje, Kontr firmasının borsa verilerini kullanarak hisse senedi fiyatlarının gelecekteki değerlerini tahmin etmeye yönelik gelişmiş makine öğrenimi modelleri içerir. Farklı algoritmalarla performans analizi yaparak yatırım kararlarını destekleyici öngörüler sağlar.

A machine learning application aimed at predicting employee salaries based on various features such as experience, education level, location, etc. By using different models and techniques, the project seeks to present an optimized model for salary predictions.

A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.

ENAR DataFest

Data Analysis Projects

This project is about the prediction of red wine quality using different machine learning algorithms with MLOps and CICD pipeline.

Prediction of Sales Prices of Houses

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

Using publicly available data for the national factors that impact supply and demand of homes in US, build a data science model to study the effect of these variables on home prices.

This is a project where i am learning to use MLFlow tool which is a good alternative to logging process and provides various methods and functionality which are demonstrated in this project.

an extension of signed sklearn.linear_model.ElasticNet

Predicting the Popularity of Online News using numerous Machine Learning techniques along with a comparative analysis of their performances.

Predicting the Critical Temperature of Superconductors using numerous Machine Learning techniques along with a comparative analysis of their performances.

The dataset that I am performing this regression analysis on, comes from Kaggle, titled crimes In India. This dataset holds complete information about various aspects of crimes that have taken place in India in a 17 year span, from 2001 to 2018.

A repo to store and share solved data analytics assignments and side projects during my bootcamp at Ironhack.

Wine-Ops Official Webpage

Code for paper "面向物联网隐私数据分析的分布式弹性网络回归学习算法"