Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

The objective of this project is to study the COVID-19 outbreak using basic statistical techniques and make short term predictions using ML regression methods.

Protein-protein interaction Binding Affinity Prediction

This repo covers the basic machine learning regression projects/problems using various machine learning regression techniques and MLP Neural Network regressor through scikit learn library

This project aims to build a predictive model that could predict the number of rental bikes required for each hour using the Seoul Bike Sharing dataset. Linear regression, Lasso (L1), Ridge (L2), ElasticNet, Decision Tree, Random Forest, and XGBoost algorithms are used to build a model to predict the number of rental bikes required for each hour.

The task is to build a machine learning regression model will predict the number of absent hours. As Employee absenteeism is a major problem faced by every employer which eventually lead to the backlogs, piling of the work, delay in deploying the project and can have a major effect on company finances. The aim of this project is to find an issue…

Data analysis with Python to building and evaluating data models.

🏡 Empower property market decisions with a machine learning model predicting house prices using the Boston Housing dataset. 💸🏠💹

In this repository, delve into the realm of regression modeling featuring an array of algorithms applied to diverse datasets. Explore the strengths and nuances of different regression techniques, providing a comprehensive overview for anyone interested in predictive modeling.

Multi-Linear and Binary Logistic Regression in C.

The latex code of my bachelor thesis at Sapienza University of Rome

Machine Learning Regression use case notebooks

This is my college practice work, where i try to learn and cover all the tree based regression algorithms (preferably in python).

This is my college practice work, where i try to learn and cover all the regression algorithms (preferably in python)

Machine Learning Projects

Predict Global Competitiveness merupakan program memprediksi value dari Global Competitiveness Index yang setelah tahun 2019 tidak kunjung dikeluarkan oleh pihak bank dunia, program ini merupakan salah satu alternative untuk melihat score GCI dengan menggunakan data Socio-Economics dan Enviromental Indicator

🚗 Engineered a high-performing car price prediction model, empowering informed decisions in the dynamic car market. 🚘💰

🚗 Engineered a high-performing car price prediction model, empowering informed decisions by Identifying the key features that most influence car prices in the market. 🚘💰