A simple python program that implements a very basic Multiple Linear Regression model
-
Updated
Sep 30, 2020 - Python
A simple python program that implements a very basic Multiple Linear Regression model
A simple python program that implements a very basic Linear Regression model
All exercises for the course Elements of AI - Building AI
In this project, I have created simple model which predict the price of the house on the basis of it's area.
Machine learning, database, and quant tools for forex trading.
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
This repository consist of the tasks given during my internship at The Sparks Foundation
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.
Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.
This repository focuses on the projects that I would be doing on "Linear Regression". Feel free to make any improvements. Thanks
Collaborative work to learn streamlit and simple linear regression
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.
This is a car price prediction web app, which predicts the price of the car on the basis of some inputs.
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.
An API for managing chat completions, fine-tuning, payments, plans, and configurations.
Use python Jupyter notebooks (numpy, pandas, matplotlib, etc) to implement and test simple machine learning algorithms.
A series of documented Jupyter notebooks implementing polynomial regression models and model performance analysis
A Machine Learning-based Empirical study to predict the Stock Market Price of the future 10 days Using Historical Data. Research Paper is published at https://ieeexplore.ieee.org/document/9342571
Gradient Descent for N features using two datasets: Boston House data, Power Plant Data
Add a description, image, and links to the linear-regression-models topic page so that developers can more easily learn about it.
To associate your repository with the linear-regression-models topic, visit your repo's landing page and select "manage topics."