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

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

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

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

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 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.

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.

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

Combating fake news problem

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

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.

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

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

A Tool for Valid Inference Corrected for Outlier Removal in Linear Regressions

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