Comprehensive analysis and modeling of the Wine Quality dataset, including exploratory data analysis (EDA), data preprocessing, model training, and performance evaluation using MSE and RMSE.

Implented ridge and lasso regression by understanding the use of parameters

Implementation of the paper "On the Asymptotic Mean Square Error Optimality of Diffusion Probabilistic Models."

ML and Data Science-based recommendation system

This repository utilizes time series analysis to predict natural gas prices, aiding informed decisions in the energy market. Through meticulous data preprocessing, visualization, and ARIMA modeling, it provides accurate forecasts. With regression and interpolation techniques, it offers deeper insights for stakeholders, enabling proactive strategies

A demonstration of exploartory data analysis with hypothesis testing.

Proyecto de Datacamp sobre predicción de dias en que un cliente alquilará un DVD basandose en algunas caracteristicas

The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.

Implementation of two new protocols in the Shuffle Model of Differential Privacy for the private summation of vector-valued messages

A study about Regression algorithms

Implementation of Gradient Descent that trains a linear regression model.

Exploring Insights/Inferences by performing EDA on the given project data (50_Startups and Toyota Corolla data) . Model fitting via linear regression by Importing sklearn package. Selecting the best fitted model via python programming.

This project aims to predict salaries based on various job-related features using a Random Forest Regressor model on a job dataset.

Using Collaborative Filtering predicting Movie Rating and K-nearest Neighbours & SVM algorithms for Number ClassificationNumber Classification

Predicting the salary using Polynomial Regression

Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨

Facial Age Estimation

Prediction model for Salary Hike by Simple Linear Regression

Prediction model for Delivery Time by Simple Linear Regression

Linear regression is also a type of machine-learning algorithm more specifically a supervised machine-learning algorithm that learns from the labeled datasets and maps the data points to the most optimized linear functions.