Machine learning, database, and quant tools for forex trading.

A simple python program that implements a very basic Multiple Linear Regression model

Package provides javascript implementation of linear regression and logistic regression

Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.

Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values

In this project, we leverage Deep Learning algorithms to build robust forecasting system that monitors the change in the demand side and aligns the supply side to make up for the inaccuracy of the forecasts and randomness in demand, helping retailers increase their inventory and planning efficiency.

In this project, I have created simple model which predict the price of the house on the basis of it's area.

A system that is capable of automatically irrigating the agricultural field by sensing the parameters of soil in real-time and predicting crop based on those parameters using machine learning. The system also predicts the yield of the crop.

All exercises for the course Elements of AI - Building AI

MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".

A simple python program that implements a very basic Linear Regression model

A repository consisting of implementation of all machine learning models.

The Project Market Value Predictor is a powerful tool developed to assist project managers, investors, and stakeholders in estimating the market value of their projects. By leveraging historical project data and employing machine learning techniques, this project aims to provide accurate and reliable predictions.

Predict which customers should a call-center call for greater assertiveness in a sale

An API for managing chat completions, fine-tuning, payments, plans, and configurations.

Combating fake news problem

This repository contains single-script files for mathematics and physics-related simulations in Matlab. Useful for students who are learning to program or for anyone in industry/research who needs a multi-purpose code for their particular job.

Gradient Descent for N features using two datasets: Boston House data, Power Plant Data

Linear Regression Machine learning The goal is to develop a model that can accurately predict salaries based on relevant features such as job title, years of experience, and education level.

A real-time facial measurement tool that uses MediaPipe and linear regression to assist customers in selecting appropriately sized glasses when ordering online. It detects facial landmarks via webcam, estimates the distance from the camera, dynamically overlays glasses on the face, and displays measurements such as eye width and eye distance.

This is a small simple linear regression project created for academic purposes.

This repository contains programs in the Python programming language using Module Streamlit.

PCA For Dimension Reduction And Visualization, Temperature-Yield Prediction Via Linear Regression, And Linear Fit Optimization Using Gradient Descent.

Soil moisture analysis , prediction and decision making to irrigate or drain water from field using Machine Learning ,numpy ,pandas , sklearn , matplotlib , Gradient Boosting Regressor model, linear regression model .

Data Models in R for Multiple Linear Regression and three models (Ridge, Lasso, and Elastic-Net), to predict Medicare claim costs of Type 2 diabetes patients with other diagnoses. We used Data from Entrepreneur’s Medicare Claims Synthetic Public Use Files (DE-SynPUFs) for our analysis.

Linear Regression Algorithms for Machine Learning using Scikit Learn

A series of documented Jupyter notebooks implementing polynomial regression models and model performance analysis

Housing value predictive model (Using US official datasets to build predictive model by using excel)

Repository showing r squared can be negative

This repository focuses on the projects that I would be doing on "Linear Regression". Feel free to make any improvements. Thanks