Pix3l79/Advertising-budget-optimizer

Media planning optimizer using CVXPY, modeling real-world advertising constraints and maximizing audience reach under budget.

Language: Python - Size: 18.6 KB - Last synced at: about 17 hours ago - Pushed at: about 19 hours ago - Stars: 1 - Forks: 0

Devansh589/bitcoin_math

Zero dependency Bitcoin math implementation in C

Language: C - Size: 91.8 KB - Last synced at: about 17 hours ago - Pushed at: about 19 hours ago - Stars: 0 - Forks: 0

alecpippas/Machine-Learning-Portfolio

Portfolio of Jupyter Notebooks demonstrating various ML models/concepts learned and developed during my graduate machine learning course and independently post-grad. Generally, a bottom-up modeling approach with Numpy is used to showcase grasp of mathematical foundation. Higher-level libraries (scikit-learn) used for optimized algo implementations.

Language: Jupyter Notebook - Size: 5.51 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

Sangeeta-vishwakarma/Machine-Learning-Algorithms

This repository includes basic algorithms of machine learning.

Language: Jupyter Notebook - Size: 599 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

Quantum-Software-Development/Integrated-Project-for-Business

Integrated Project for Business

Language: Jupyter Notebook - Size: 29.3 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 2 - Forks: 0

mian-arsal138/-using-data-analysis-to-predict-stock-price

Developed ML/DL based a web application for stock price prediction based on real-time data.

Size: 13.7 KB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

TomSeifert44/mlb-wins-project

Using linear regression models to assess the most important aspects of winning baseball

Size: 1010 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

sheikh-adeel/multiple-linear-regression-marketing-sales-data

Finding variables that predict sales using multiple linear regression

Language: Jupyter Notebook - Size: 239 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

GorkemCin/Machine_Learning

Supervised Machine Learning projects with Python

Language: Jupyter Notebook - Size: 331 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Isoherranen-Lab/RBP4_TTR_Retinol_Binding_Model

Serum retinol, RBP4, TTR statistical analysis and simulated binding

Language: HTML - Size: 2.13 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

kb-open/CROMP

The official implementation of CROMP (Constrained Regression with Ordered and Margin-sensitive Parameters) along with experimental test pipeline

Language: Python - Size: 2.57 MB - Last synced at: 9 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

ryuzaki1231/boston_housing_price_prediction

Predict house prices using the Boston Housing dataset with a Multiple Linear Regression model. Explore data, visualize correlations, and evaluate performance. 🏡📊

Language: Jupyter Notebook - Size: 266 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

DrStef/Machine_Learning_with_Python-IBM

Language: Jupyter Notebook - Size: 6.64 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

moritz-gerster/STN_broadband_power

Gerster et al. 2025. "Beyond beta rhythms: Subthalamic aperiodic broadband power reflects Parkinson’s disease severity–a multicenter study."

Language: Python - Size: 4.27 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 1

adabyt/linear_regression_intro

Beginner-friendly implementations of Simple Linear Regression and Multiple Linear Regression using simulated data

Language: Python - Size: 10.7 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

bagheri365/ML-Models-from-Scratch

This is a repository that contains Python implementations of Machine Learning (ML) models from scratch.

Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 10 - Forks: 3

MidoHossam14/MachineLearningAlgorithms

Hands on machine learning algorithms with scikit-learn , tensorflow and keras.

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

JoyM268/sdmcet-aiml

Repository of all the programs taught in AIML Lab at SDMCET, 2025

Language: Jupyter Notebook - Size: 5.04 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Mai3Prabhu/Multiple-Linear-Regression

This is a Multiple Linear Regression project which involves working with multiple features and a single output variable using economic_index,csv dataset.

Language: Jupyter Notebook - Size: 230 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

free-to-learn/Machine-Learning-Concepts

Machine Learning Concepts with Concepts

Language: Jupyter Notebook - Size: 45.9 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 170 - Forks: 74

dpb24/netflix-global-top-10-performance

🎬 Predictive Analytics: Forecasting Netflix Title Performance using a Random Forest Model

Language: Jupyter Notebook - Size: 6.44 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Ludwing-MJ/Reg_multiple_EJ

Script y datos del ejemplo de analisis de regresion lineal multiple utilizado en el manual: Introducción al entorno de programación R y su aplicación en el análisis estadístico de datos.

Language: R - Size: 171 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

mmmmmtttttt/car-price-prediction

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical specifications.

Language: Jupyter Notebook - Size: 2.03 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Rebecca-Calhoun/r_graduate_projects

R-based analytics projects including clustering, classification, and regression analysis for portfolio and coursework.

Language: R - Size: 1.67 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Rebecca-Calhoun/sas_graduate_projects

Graduate-level SAS projects focused on time series forecasting, logistic regression, and classification modeling.

Language: SAS - Size: 69.3 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

eyabesbes/Regression

Regression projects including simple linear and logistic regression implemented in both Python and R.

Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 1

jlaskow/Kaggle-House-Price-Predictions-in-Ames-Iowa

The following is a group Kaggle project using multiple linear regression models to predict housing prices in Ames, Iowa. The final Kaggle Score of all price predictions was 0.20623.

Size: 10.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

jlaskow/Employee-Demographics-for-FritoLay

In this study we seek to predict employee attrition with KNN clustering and Naive Bayes, and to predict employee salary using multiple linear regression

Language: HTML - Size: 19.3 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

AqueeqAzam/Stock-Price-Prediction-using-Artificial-Neural-Networks

This project builds and trains a regression model to predict the next day's stock closing price using historical market data. The model is based on a fully connected deep neural network (FCNN) built with TensorFlow/Keras.

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

IsaacSantous/Marketing-Promotion-MLR-Model-Leveraging-Python

In this project, I will analyse a small business's historical marketing promotion data. Each row corresponds to an independent marketing promotion where the business uses TV, social media, radio, and influencer promotions to increase sales. The objective is to find variables that predict sales.

Language: Jupyter Notebook - Size: 479 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Joseph70234/Boston-Housing-Regression-Analysis

Linear regression analysis performed on Boston housing data.

Language: R - Size: 458 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

KasrAskari/Fuel-Consumption

Co2-Consumption Prediction Model

Language: Jupyter Notebook - Size: 1.86 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Cyberoctane29/Influencer-Impact-and-Marketing-Sales-Modeling-and-Analysis

This project analyzes influencer marketing and promotional budgets' impact on sales using ML and statistical modeling in Python. It includes EDA, data cleaning, and simple and multiple linear regression. Key libraries include pandas, NumPy, statsmodels, Seaborn, and Matplotlib. Insights help optimize marketing strategies and resource allocation.

Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

pranav007123/Insurance-price-prediction

MLR-Multiple Linear Regression

Language: Python - Size: 21.5 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Cyberoctane29/Penguins-Data-Analysis-and-Modeling

This project applies statistical modeling, including single and multiple linear regression, using Python. It covers exploratory data analysis, data cleaning, and modeling with pandas, NumPy, statsmodels, and scikit-learn. Regression analyzes relationships, while clustering identifies patterns. Seaborn visualizations enhance interpretability.

Language: Jupyter Notebook - Size: 5.15 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

VaibhavAbhimanyooHiwase/Risk_Calculation_using_Backward_Elimination_Algorithm_in_Life_Insurance

Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.

Language: Python - Size: 8.22 MB - Last synced at: about 2 months ago - Pushed at: about 7 years ago - Stars: 11 - Forks: 6

thaochu05/Multiple-regression-Predicting-Insurance-Charges

Using multiple linear regression, statistical analysis and visualization in predicting insurance charges

Language: Jupyter Notebook - Size: 2.91 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

acc25uom/climate_change

Software to calculate the direct and indirect effects of climate change on health and economy by using a multiple linear model

Language: R - Size: 32.2 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

sarvkk/MachineLearning101

A summation of basic Machine Learning implementations on datasets.

Language: Jupyter Notebook - Size: 979 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

tekewin/used_cars_price_regressor

Used cars dataset (Kaggle) multiple regression model to predict price

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

bgr8/Makine-ogrenmesi

Machine Learning with Python

Language: Jupyter Notebook - Size: 3.03 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 1

Edanur-Y/Agricultural-Yield-Prediction-with-Multiple-Linear-Regression

Performing multiple linear regression analysis on agricultural data to predict the yield.

Size: 27.3 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

guiarpi/LGBTQI-Hate-Crime-Analysis

Machine Learning analysis of LGBTQI+ hate crimes in the U.S

Size: 1.95 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

VirginioC/modello-statistico-previsione-peso-neonati

Modello di regressione lineare multipla in R per prevedere il peso dei neonati basandosi su variabili cliniche. Include analisi esplorativa, selezione del modello e valutazione delle prestazioni.

Language: R - Size: 2.69 MB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

shgo/gamtl

Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning

Language: Python - Size: 173 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 8 - Forks: 3

mohiteamit/bike-sharing-demand-linear-regression

Multiple Linear Regression | Bike Sharing Demand Prediction

Language: Jupyter Notebook - Size: 26.5 MB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

yrs-ago/NBA-Salaries-Prediction

Machine Learning project to predict NBA Salaries of a player based on factors such as PPG, Age, Win Shares, etc. using a multiple linear regression.

Language: Jupyter Notebook - Size: 16.5 MB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

Vinandra-Adam-Saputra/RealEstatePrediction-Streamlit

Data Science Course Project 2024 - UNIVERSITAS MARITIM RAJA ALI HAJI FAKULTAS TEKNIK DAN TEKNOLOGI KEMARITIMAN PROGRAM STUDI TEKNIK INFORMATIKA

Language: Python - Size: 90.8 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

pngo1997/Predictive-Model-Data-Science-Salaries

Project analyzes and predicts Data Science salaries worldwide (2020-2023) using Multiple Linear Regression.

Language: SAS - Size: 8.33 MB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

pngo1997/Multiple-Regression-and-Feature-Selection-Analysis

Explores multiple linear regression, feature selection, Ridge & Lasso regression, and Stochastic Gradient Descent (SGD) regression.

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

arashsm79/applied-linear-algebra-lab

Collection of step-by-step programming exercises to introduce students to the applications of linear algebra.

Language: Jupyter Notebook - Size: 36.6 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 1

gmrandazzo/QStudioMetrics

A Comprehensive Software for Data Mining and Multivariate Analysis

Language: C++ - Size: 34.8 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 16 - Forks: 6

mr-kartal/ML_codes_CK

Machine learning code includes various regression techniques. By ↃK.

Language: Python - Size: 548 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

AzizLike29/home-price-prediction

South Jakarta house price prediction

Language: Jupyter Notebook - Size: 236 KB - Last synced at: 6 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

ByronCaices/ESTADISTICA-INFERENCIAL

This repository contains notes and R code on key statistical topics, including inferential statistics, linear regression, multiple linear regression, and logistic regression. It provides a concise reference for understanding and applying regression models and statistical inference using R.

Language: HTML - Size: 2.64 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

jdfoster11/R_Key_Factors_of_Song_Popularity

Using R to perform a statistical and multiple regression analysis on a music dataset

Language: HTML - Size: 1.27 MB - Last synced at: 10 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Khushi130404/Linear_Regression

This project predicts placement salary (LPA) based on CGPA and IQ using Single, Multiple, and Polynomial Linear Regression models. It includes manual and sklearn implementations for comparison.

Language: Jupyter Notebook - Size: 453 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Mike014/champions_league_predictor

This web application predicts the number of goals scored by a team in the Champions League based on various statistical parameters. It uses a linear regression model trained on a historical dataset of team performances.

Language: Python - Size: 37.1 KB - Last synced at: 28 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

binodil/Multiple_Regression_project

Apex team`s multiple regression project. It contains: What is Multiple Regression? Advantages and disadvantages of multiple regression, least square method and real implementation.

Language: Jupyter Notebook - Size: 837 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

hackermanrunzzz/Regression-Analysis-of-Tourism-Data

This repository contains an analysis of GDP using multiple linear regression and interaction modeling. It explores the influence of tourism-related factors such as tourism receipts, tourism exports, and their interactions on GDP. The project is implemented in Python and includes data preprocessing, model refinement, and interactive visualisations.

Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

daniela1484/FinalProject_Multiple_Linear_Regression

This research project explores the correlation between lifestyle choices and sleep efficiency, with the goal of creating a predictive model for sleep efficiency based on individual lifestyle factors. The project will employ a regression model derived from the field of Mathematical Modeling.

Language: Python - Size: 488 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

KadamVrushali/Multiple-Linear-Regression

This project analyzes global life expectancy data, exploring factors like adult mortality, alcohol consumption, GDP, and education to uncover trends and correlations that influence longevity. 🌍📊

Language: HTML - Size: 10.6 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Akash-9832/Crime-rate-prediction-in-Afro-American-Society-using-Machine-Learning-Techniques Fork of deba607/Research_Paper_02-Crime-rate-prediction-in-Afro-American-Society-using-Machine-Learning-Techniques.

Crime rate prediction in Afro American Society using Machine Learning Techniques. Watch out the full paper: https://www.afjbs.com/issue-content/crime-rate-prediction-in-afro-american-society-using-machine-learning-technique-6330

Language: Python - Size: 419 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

Akash-9832/Predicting-Risk-Factors-for-death-due-to-lack-of-bridges-in-Nepal-using-Multiple-Regression-Analysis

This research uses Multiple Linear Regression to predict the risk factor for possibility of death for not having a bridge in Nepal.

Language: Python - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

Udacity-MachineLearning-Internship/Multiple-Linear-Regression

Implementing multiple linear regression using sckit-learn

Language: Jupyter Notebook - Size: 23.4 KB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

yashmittalz/House-Price-Prediction

A machine learning project that uses multiple linear regression to predict house prices based on factors like area, room count, and building age.

Language: Python - Size: 3.91 KB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

okayushi/Prediction-with-Multiple-Regression

Using Multiple linear regression to predict the profit of startups companies.

Size: 883 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

maxxhvo/Modelling_Climate_Change_Via_Indicators

Statistical Modelling and Data Visualization of a Climate Change Dataset (January 1984 to December 2008 ) Sourced from Kaggle

Language: HTML - Size: 15.1 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

yane07/World-Happiness-Report

This research aims to identify the factors that influence the World Happiness Report using multiple linear regression with the Python

Language: Jupyter Notebook - Size: 150 KB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

farwaa-sr/Linear-Regression

This repository delves into fuel consumption data analysis using both simple and multiple linear regression models. We aim to uncover the relationships between various factors (independent variables) and fuel consumption (dependent variable).

Language: Jupyter Notebook - Size: 240 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Omniforms/AI-House-Prices-NYC

An Artificial Intelligence coursework created with my team, aimed at using regression based AI to map housing prices in New York City from 2018 to 2019. Regression models used include: Linear Regression (Multiple), Support Vector Machines, Decision Tree Regression and Random Forest Regression. Included is also the team report, written by me, and my individual contributions to the project. Also included is the project files submitted using Python.

Size: 2.73 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

JaewonSon37/Data_Analysis_and_Regression1

Language: R - Size: 7.47 MB - Last synced at: 13 days ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

ccarlan98/Academic-Portfolio

Academic portfolio which showcases projects completed during my graduate studies

Language: R - Size: 10.4 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

AGhaderi/hDDM_attention

The current repository is able to assess the relationship between EEG components and HDDM parameters of top-down attention in perceptual decision-making using a multiple regression model

Language: Jupyter Notebook - Size: 2.1 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 13 - Forks: 4

saumyaprasad07/Wine-Quality-Prediction-Analysis

In this project, we predict the quality of wines (target variable) based on various chemical attributes. The goal is to perform regression analysis using OLS, regression trees, SVR, and MLP models on a dataset, and then compare these models.

Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ruoheng-du/thermal-expansion-error-prediction

Thermal Expansion Error Prediction | Summer 2023

Language: Jupyter Notebook - Size: 40.7 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

Andriamahay11master/MachineLearning

This project is created to practice supervised ML using the libraries existing in Python

Language: Python - Size: 1.95 KB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

nouran-19/Multiple-Linear-Regression-Analysis-on-Medical-Cost-Dataset

This project explores medical insurance costs by examining associations between multiple variables using linear regression analysis.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

just-krivi/real-estate-market-analysis

Streamlit web app using custom ML models (multiple linear regression and one-to-many multiclass kernel SVM) for predicting real estate prices; Scraping and analyzing real estate listings in Serbia

Language: Jupyter Notebook - Size: 3.54 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 5

majd30/Marketing-Mix-Modeling-project-with-Multiple-Regression

In order to inform decisions about an optimal marketing budget, the project uses multiple regression analysis to assess the impact of TV, radio, and newspaper ad budgets on Company X's sales.

Size: 2.19 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

EbadShabbir/Company_profit-Onehotencoding-

This project uses multiple linear regression to predict startup profits based on spending and location data from the **50 Startups** dataset. It includes data preprocessing, model training, and performance evaluation using Scikit-Learn.

Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: 5 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

tystan/codaredistlm

Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components

Language: R - Size: 150 KB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 0

Hadley-Dixon/CancerMortality

Multivariate least squares regression model that predicts cancer mortality rates for US counties

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

EbadShabbir/Bluff-Detection-Model-polynomial_regression-

This project predicts employee salaries based on position levels using Linear and Polynomial Regression models. It trains models with degrees 2, 3, and 4 on a dataset of job titles, position levels, and salaries, and predicts the salary for a position level of 6.5. The results are visualized to compare model performance.

Language: Jupyter Notebook - Size: 109 KB - Last synced at: 5 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

shaadclt/Energy-Output-Prediction-MultipleLinearRegressor

This project involves the prediction of energy output in a Combined Cycle Power Plant (CCPP) using Multiple Linear Regression in Jupyter Notebook. The dataset contains features such as temperature, pressure, humidity, and exhaust vacuum, which are used to predict the net hourly electrical energy output.

Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

KashRamnath/PDAN8411_Task1_ST10117137_2023

Multiple Linear Regression - Real Estate Regression

Language: Jupyter Notebook - Size: 820 KB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

dynamicanupam/Bike_Sharing_Demand_Study_using_Linear_Regression

Build a regression model to understand the factors on which the demand for bike sharing systems vary on and help a company optimise its revenue.

Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: 7 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

reddyprasade/Machine-Learning-With-R

Machine Learning in R

Language: HTML - Size: 10.5 MB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 10

invictusaman/Insurance-Cost-Analysis-Regression

Showcasing Simple Linear, Multiple Linear, Polynomial and Ridge Regression on Insurance Cost Dataset to predict insurance price. Also, I have generated a report using Quarto.

Language: Jupyter Notebook - Size: 197 KB - Last synced at: 24 days ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

MDavidHernandezP/MultipleLinearRegressionWebApp

This repository contains a Web App Project built with Flask that allows users to upload CSV files, clean those files, and then train a Multiple Linear Regression model to make predictions based on the user's inputs.

Language: Python - Size: 106 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ledoit/BMW-Pricing

Study analyzing BMW resale auction data using multiple linear regression, forward & backward variable selection, data transformation, and data validation

Language: TeX - Size: 2.06 MB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 2

iamkirankumaryadav/Scikit-Learn

Machine Learning Library for Predictive Data Analysis using Python

Language: Jupyter Notebook - Size: 815 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

ruoheng-du/multivariate-data-analysis

Multivariate Data Analysis | Spring 2023

Language: Python - Size: 22.7 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Beliavsky/Alan-Miller-Fortran

Classification of Alan Miller's Fortran codes for statistics and numerical methods

Size: 43 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

sarowarahmed/Advertising-Sales-App

📈 Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.

Language: Python - Size: 23.4 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Yehiak/Linear-Regression

This project uses linear regression with gradient descent to predict profit based on customer numbers. It includes data visualization, cost computation, and optimization, with an option to extend to multivariate regression. The implementation is in Python.

Language: Python - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

kbzh2558/Regression_Analysis_on_the_Factors_Affecting_the_Monthly_Spending_of_Desautels_Students

A statistical analaysis over the monthly spending of Desautels students. The project includes exploratory data analysis, hypothesis testing, and multiple regression model building.

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bmshah/test_repository

This repository contains an academic project developed in jupyter notebook using python language and machine learning algorithms.

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Anitatorki/ML_with_Python

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

shimonyagrawal/BU-MET-AD699-Data-Mining

This repository contains coursework for the Data Mining course in the MS Applied Business Analytics program at Boston University.

Language: R - Size: 2.98 MB - Last synced at: 8 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1