Data Analysis Projects

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

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

Prediction of Sales Prices of Houses

This repository contains code for training an ElasticNet regression model using MLflow. The model predicts the quality of wine based on various features.

ENAR DataFest

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"

To identify young soccer players who posses the potential to become the next Kylian Mbappé. Also, Linear Regression practice.

The dataset contains students last three year exam results combined with other data such as their sex, family size, father and mother job and some of their personal and social life properties. The goal is to train ML models to predict student performance in their last year exams.

my documentation to learn more about machine learning concepts

The goal of this project is to predict the demand for Seoul's Bike Sharing Program. A dataset (8760,14) containing historical usage patterns, such as temperature, time, and other relevant data is used to build a regression model.