multi-linear-regression | Topic | Ecosyste.ms: Repos

Topic: "multi-linear-regression"

anishLearnsToCode/ml-workshop-wac-1

Workshop on ML/AI 🧠 using Python 3 🐍 with introduction to Language Basics, Constructs, Linear Regression, Multi-Linear Regression, Logistic Regression, KNN and Neural Networks @ What After College 🎓.

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anishLearnsToCode/ml-workshop-wac-2

Language: Jupyter Notebook - Size: 40.9 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

sanjushasuresh/MULTI-LINEAR-REGRESSION-ASSIGNMENT-5-Q2

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using multi linear regression.

Language: Python - Size: 50.8 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

sanjushasuresh/MULTI-LINEAR-REGRESSION-ASSIGNMENT-5-Q1

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using multi linear regression.

Language: Python - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

vaitybharati/Assignment-05-Multiple-Linear-Regression-2

Assignment-05-Multiple-Linear-Regression-2. Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in the past few years State -- states from which data is collected Profit -- profit of each state in the past few years.

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anishLearnsToCode/ml-workshop-wac-3

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usk2003/Video-Games-Sales-Prediction

This repository contains a machine learning project focused on predicting global video game sales using regression models like Gradient Boosting and Random Forest. It includes data preprocessing, analysis, and actionable insights for the gaming industry.

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shanuhalli/Data-Science-Assignment

Find all ExcelR Data Science Assignment Solution Here

Size: 196 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

bsef19m521/Linear-Regression-Step-by-Step

"Linear Regression Step by Step" is a repository that provides a comprehensive notebook with step-by-step examples, exercises and libraries to understand and implement Linear Regression easily.

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MoinDalvs/Learn_Multi_Linear_Regression

Prediction of Miles per gallon (MPG) Using Cars Dataset

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Juhi-priya/Machine-learning-

Week1-exercise

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vaitybharati/P26.-Supervised-ML---Multiple-Linear-Regression---Cars-dataset

Supervised-ML---Multiple-Linear-Regression---Cars-dataset. Model MPG of a car based on other variables. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Leverage value, Improving the Model, Model - Re-build, Re-check and Re-improve - 2, Model - Re-build, Re-check and Re-improve - 3, Final Model, Model Predictions.

Language: Jupyter Notebook - Size: 507 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

sammy9867/Machine-Learning-Regression

Multi-Linear and Binary Logistic Regression in C.

Language: C - Size: 4.68 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1

Skksyxhdevxu/Global-Video-Game-Sales-Insights

Interactive Tableau dashboard showcasing global video game sales insights, trends, and patterns. Analyze genres, platforms, and publishers to uncover actionable insights for the gaming industry. Includes dataset, workbook, and presentation for in-depth exploration.

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vijaykumarr1452/Startup_Success_Predictor

This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)

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ashishpatel8736/Emissions-Predictor-using-MLR

CO2 Emissions Predictor is a machine learning project that uses a Multiple Linear Regression (MLR) model to predict the CO2 emissions of vehicles based on their specifications, such as engine size, cylinders, and fuel consumption.

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ericyoc/ml_portfolio_poc

A portfolio of machine learning algorithms that are essential and commonly used.

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abinashsahoo007/Data-Science-Assignments

Find all my Data Science Assignments Here. These Assignments are based on different Statistical and Machine Learning Algorithms which are performed using python language💻.

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KanikaGaikwad/A-Decision-Support-System-for-Burger-Bounty-using-R

This project aims to develop a decision support system (DSS) to enhance Burger Bounty, a gourmet meatless burger food truck operating in the Hartford area. The system will aid the owner, in optimizing food truck sales and operations through data analysis and strategic recommendations.

Language: R - Size: 389 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

anyappinc/regression Fork of sajari/regression

Multiple linear regression analysis library written in Go

Language: Go - Size: 88.9 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

shwetapardhi/Assignment-05-Multiple-Linear-Regression-2

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t

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shwetapardhi/Assignment-05-Multiple-Linear-Regression-1

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.p

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bhanu-kanamarlapudi/Covid_19-Michigan

Michigan Covid-19 prediction

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Vaneeza-7/Bayesian-Statistics-Regression-Models-in-pymc3 📦

Bayesian Statistics: Linear Regression and multi-linear models and related concepts (multicollinearity, correlation coefficient etc) on iris dataset in pymc3

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saikrishnabudi/Multi-Linear-Regression

Data Science - Multi Linear Regression Work

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032AbhishekChoksi/Machine-Learning-Exercises-with-Datasets

Machine Learning Algorithms Practicals in Python with Datasets

Language: Python - Size: 62.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Maheshwari1990/-Prediction-with-Multiple-Regression-

Multiple Linear Regression Dataset Name - 50_startups data.

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friskyspock/toyota-corolla-data-excelr

Analyzing best features affecting resell value and making predictions.

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Hnshlr/ajap-assignment

Implementation of a gradient descent algorithm for a multi-linear regression problem based on multiple predictors, and which takes in the value of the desired learning rate and the number of iterations.

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mohsinessani/Assignment5_ExcelR_MultiLinearRegression

Know about the Multi Linear Regression and calculate the model accuracy using various techniques. Performed EDA and identified null values and outliers and removed collinearity. Visualize using different charts and made accurate model by measuring R2 score.

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