LinearRegression2 Tvads and CarSales

Last update: Dec 29, 2021

Overview

LinearRegression2_Tvads_and_CarSales

This project infers the insight that how the TV ads for cars and car Sales are being linked with each other. It is linear regression model that provides a linear regression equation or a relationship between the independent variable-number of tv ads and the dependent variable-Number of cars sold.It uses the python Libraries sklearn,statsmodels.api for OLS(Ordiniary Least Square Method) method and add_Constant method,pandas library for creating and fetching data_frame,numpy library,scpiy.

Owner

Ashish Kumar Yadav

GitHub Repository https://github.com/ashishyadav24092000/LinearRegression2_Tvads_and_CarSales

PySpark ML Bank Churn Prediction

PySpark-Bank-Churn Surname: corresponds to the record (row) number and has no effect on the output. CreditScore: contains random values and has no eff

2 Nov 11, 2021

Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale.

Model Search Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale. It aims to help researchers sp

1 Dec 13, 2021

A repository to work on Machine Learning course. Select an algorithm to classify writer's gender, of Hebrew texts.

MachineLearning A repository to work on Machine Learning course. Select an algorithm to classify writer's gender, of Hebrew texts. Tested algorithms:

1 Feb 01, 2022

Winning solution for the Galaxy Challenge on Kaggle

483 Jan 02, 2023

A modular active learning framework for Python

Modular Active Learning framework for Python3 Page contents Introduction Active learning from bird's-eye view modAL in action From zero to one in a fe

1.9k Dec 31, 2022

A machine learning model for Covid case prediction

CovidcasePrediction A machine learning model for Covid case prediction Problem Statement Using regression algorithms we can able to track the active c

1 Feb 02, 2022

PLUR is a collection of source code datasets suitable for graph-based machine learning.

PLUR (Programming-Language Understanding and Repair) is a collection of source code datasets suitable for graph-based machine learning. We provide scripts for downloading, processing, and loading the

76 Nov 25, 2022

Distributed Computing for AI Made Simple

Project Home Blog Documents Paper Media Coverage Join Fiber users email list Uber Open Source 997 Dec 30, 2022

ThunderGBM: Fast GBDTs and Random Forests on GPUs

Documentations | Installation | Parameters | Python (scikit-learn) interface What's new? ThunderGBM won 2019 Best Paper Award from IEEE Transactions o

648 Dec 16, 2022

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible

176 Jan 04, 2023

cleanlab is the data-centric ML ops package for machine learning with noisy labels.

cleanlab is the data-centric ML ops package for machine learning with noisy labels. cleanlab cleans labels and supports finding, quantifying, and lear

51 Nov 28, 2022

Create large-scale ML-driven multiscale simulation ensembles to study the interactions

MuMMI RAS v0.1 Released: Nov 16, 2021 MuMMI RAS is the application component of the MuMMI framework developed to create large-scale ML-driven multisca

4 Feb 16, 2022

The Simpsons and Machine Learning: What makes an Episode Great?

The Simpsons and Machine Learning: What makes an Episode Great? Check out my Medium article on this! PROBLEM: The Simpsons has had a decline in qualit

1 Nov 02, 2021

Predicting Baseball Metric Clusters: Clustering Application in Python Using scikit-learn

Clustering Clustering Application in Python Using scikit-learn This repository contains the prediction of baseball metric clusters using MLB Statcast

2 Apr 18, 2022

Traingenerator 🧙 A web app to generate template code for machine learning ✨

Traingenerator 🧙 A web app to generate template code for machine learning ✨ 🎉 Traingenerator is now live! 🎉

1.2k Jan 07, 2023

A unified framework for machine learning with time series

Welcome to sktime A unified framework for machine learning with time series We provide specialized time series algorithms and scikit-learn compatible

6k Jan 06, 2023

scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms.

Sklearn-genetic-opt scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms. This is meant to be an alternativ

180 Dec 20, 2022

Flask app to predict daily radiation from the time series of Solcast from Islamabad, Pakistan

Solar-radiation-ISB-MLOps - Flask app to predict daily radiation from the time series of Solcast from Islamabad, Pakistan.

1 Dec 31, 2021

A model to predict steering torque fully end-to-end

torque_model The torque model is a spiritual successor to op-smart-torque, which was a project to train a neural network to control a car's steering f

4 Jun 03, 2022

Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.

Toolkit for Building Robust ML models that generalize to unseen domains (RobustDG) Divyat Mahajan, Shruti Tople, Amit Sharma Privacy & Causal Learning

149 Jan 06, 2023