ols-regression | Topic | Ecosyste.ms: Repos

Topic: "ols-regression"

JuliaStats/MultivariateStats.jl

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Language: Julia - Size: 1.55 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 384 - Forks: 85

marcelomijas/econometrics-cheatsheet

Econometrics cheat sheets with a concise review of the subject, going from the basics of an econometric model to the solution of the most popular problems.

Language: TeX - Size: 23 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 136 - Forks: 19

olmallet81/URT

Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python

Language: C++ - Size: 276 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 80 - Forks: 20

TatevKaren/econometric-algorithms

Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.

Language: Stata - Size: 977 KB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 35 - Forks: 13

faosorios/fastmatrix

Fast computation of some matrices useful in statistics

Language: C - Size: 13.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 19 - Forks: 3

aeturrell/specification_curve

Specification Curve is a Python package that performs specification curve analysis: exploring how a coefficient varies under multiple different specifications of a statistical model.

Language: Python - Size: 4.13 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 4

vaitybharati/Assignment-04-Simple-Linear-Regression-2

Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

Language: Jupyter Notebook - Size: 45.9 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 9

mateoservent/coefeasy

Coefeasy is an R package under development for making regression coefficients more accessible. With this tool, you can read and report key coefficients instantly.

Language: R - Size: 200 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 4 - Forks: 0

boyla950/predicting-the-pound

MSc Finance dissertation project at Newcastle University. This project focused on forecasting the volatility of exchange rates involving the Great British Pound using EWMA, GARCH-type and Implied Volatility models.

Language: Python - Size: 2.16 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

AbdirayimovS/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: 3 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

vaitybharati/Assignment-04-Simple-Linear-Regression-1

Assignment-04-Simple-Linear-Regression-1. Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regression.

Language: Jupyter Notebook - Size: 43 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 6

govardhan26/Linear-regression

Linear regression on numerical attributes

Language: HTML - Size: 1.7 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 3

rakeshjasti/Car-MPG

Predicting miles per gallon (MPG) for a car using UCI dataset

Language: Jupyter Notebook - Size: 478 KB - Last synced at: 12 months ago - Pushed at: about 8 years ago - Stars: 3 - Forks: 1

codelones/advertising-sales-prediction

A demo project to explore linear regression using the Advertising dataset.

Language: Python - Size: 375 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

b-knight/olspow

Python package for conducting power analysis for experiments using regression and/or clustered data.

Language: Python - Size: 140 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

youssef-laouina/Predicting-Apartments-Prices-in-Buenos-Aires

Machine learning project predicting real estate prices in Buenos Aires, utilizing advanced techniques for outlier detection, heteroskedasticity handling, and model optimization

Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

svmiller/eh6105

Quantitative Methods (EH6105)

Language: HTML - Size: 27.6 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

omledufromage/Intro-to-Econometrics-Python-assignment

Python programming assignment developing a simulation study and exploring the OLS estimator.

Language: Python - Size: 974 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

imnikhilanand/Bayesian-Marketing-Mix-Modeling

The project analyses the impact of different marketing tactics on the sales of items. The problem is a multivariate-modeling problem as there are 3 different tactics of marketing. Since, the impact of marketing medium cannot be negative we will be using Bayesian model for regression.

Language: Python - Size: 1.78 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

vaitybharati/P27.-Supervised-ML---Multiple-Linear-Regression---Toyoto-Cars

Supervised-ML---Multiple-Linear-Regression---Toyota-Cars. 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: 3.54 MB - Last synced at: over 1 year ago - Pushed at: about 4 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.

Language: Jupyter Notebook - Size: 669 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 9

vaitybharati/P24.-Supervised-ML---Simple-Linear-Regression---Newspaper-data

Supervised-ML---Simple-Linear-Regression---Newspaper-data. EDA and Visualization, Correlation Analysis, Model Building, Model Testing, Model predictions.

Language: Jupyter Notebook - Size: 196 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

sumeetkotaria11/BitcoinAnalysis

This project is aimed at analyzing and predicting Bitcoin price fluctuation using Natural Language Processing on Twitter data and subsequently applying VADER sentiment analysis.

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

north0n-FI/Multivariate-Regression---King-County-House-Prices

Supervised Machine Learning Using Regression Analysis

Language: Jupyter Notebook - Size: 126 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 1

eafranke/Quant1-Paper-Replication

Academic research paper replication steps, including data and syntax files converted for use in SPSS, developed as teaching resources for Bentley University's Quantitative Analysis I course. These materials were created in my role as a Teaching Assistant under the guidance of Professor Clifton Chow.

Language: Scheme - Size: 10.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Katyayani09/medicare_campaigns_marketmixmodels

This repository explores Market Mix Modeling to analyze the causal impact of marketing strategies on sales performance using statistical analysis and OLS regression. It helps businesses optimize campaign investments by distinguishing causation from correlation.

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

cynthiaxu04/causal-sleep-study

a causal sleep study on the effects of visible light on sleep quality

Language: TeX - Size: 2.96 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

mjavadg/Econometrics_Fall-2024

For master’s students in mathematical economics, focusing on econometric methods and applications.

Language: Jupyter Notebook - Size: 3.36 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

nvlinhvn/water-consumption-campaign-analytics

Evaluate the effectiveness of water consumption campaign in 12 districts

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Szafranerio/California-Housing-PricesHousing-Price-Prediction-with-Linear-Regression

🤖Housing Price Prediction with Linear Regression

Language: Jupyter Notebook - Size: 102 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

ShaikRiyazSandy/Simple-Linear-Regression

Simple Linear Regression

Language: Jupyter Notebook - Size: 937 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Niblick1020/LinearHousingPredictor

This repository contains the Python script for predicting housing prices using linear regression models.

Language: Python - Size: 254 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

AScick/Machine_Learning_Project

Bunch of exercises computed during the Machine Learning for Finance course.

Language: R - Size: 2.87 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

KevinDepedri/AI-for-Finance

Stock market prediction on 5 italian companies using VAR model, OLS regressions and LSTM recurrent neural networks over data retrieved from Refinitiv Eikon

Language: Jupyter Notebook - Size: 5.67 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

bvtvusn/Magnet-based-encoder

Encoder using magnetometer on Arduino nano 33 BLE

Language: C++ - Size: 6.84 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

acanacar/DataScienceOverHood

DataScienceOverHood

Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

MoinDalvs/Learn_Simple_Linear_Regression

Learn about Simple Linear Regression for Data Science

Language: Jupyter Notebook - Size: 745 KB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

MoinDalvs/Simple_Linear_Regression_1

Predicting Delivery Time Using Sorting Time

Language: Jupyter Notebook - Size: 1.76 MB - Last synced at: 27 days ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

MoinDalvs/Simple_Linear_regression_2

Building a prediction model for Salary hike using Years of Experience

Language: Jupyter Notebook - Size: 1.37 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

marblehub/PV_projekt22

This is photovoltaic project designed to be conducted for some PV plants in 2022. Comparative analysis of OLS and WLS techniques are proposed with a view to better P_out predictions

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

ashishyadav24092000/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 method and add_Constant method,pandas library for creating and fetching data_frame,numpy library,scpiy.

Language: Jupyter Notebook - Size: 428 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

ashishyadav24092000/RBD__FabricStrength

Four chemicals are being used in this problem on a fabric sample. We have to determine whether all the four chemicals are variably affecting the mean strength of fabric or not, using ANOVA and significance level = 1%..

Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

ZJW-92/Linear_Regression_RED

This is a case study of RED company based on user data and consumption behavior data. It uses Python to build a linear regression model to predict the changes in the user's purchasing amount and find the factors that have a greater impact on users' purchasing amount. The linear regression effect of the data provided is not good and it is only used for practicing the linear regression.

Language: Jupyter Notebook - Size: 630 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

daksh-intwala/House-Price-Prediction--Regression-Anaylsis

A simple regression analysis of house prices in USA with 11 features selected on MECE Framework

Language: HTML - Size: 2.31 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

stnamjef/SimpleML

A simple machine learning library.

Language: C++ - Size: 114 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

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

vaitybharati/P25.-Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data

Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data. EDA and data visualization, Correlation Analysis, Model Building, Model Testing, Model Prediction.

Language: Jupyter Notebook - Size: 178 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

julzerinos/r-structural-breaks-with-ml

Detecting structural breaks in time series data using statistical analysis and regression models in R.

Language: R - Size: 12.6 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

anna-dang/mod02-linear-regression

House price predictive modeling using linear regression techniques. My first modeling project! Skills demonstrated: Pandas, feature engineering, standardization, encoding, interpreting model performance/error, visualizations.

Language: Jupyter Notebook - Size: 65.6 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 2

rfmmonteiro99/SfDS-Project-Final

Understanding the COVID-19 situation in the USA using Statistical Analysis

Language: Jupyter Notebook - Size: 847 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

ulaseraslan/Econometrics

Sabanci University ECON 301 (Econometrics) Problem Set Solutions & Stata Analysis

Language: Stata - Size: 3.24 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

vaitybharati/Simple-linear-Reg-1

Simple-linear-Reg-1

Language: Jupyter Notebook - Size: 43 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

ppanko/orthogonalize

R package for residualizing covariates

Language: R - Size: 1.59 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

rsquaredacademy/r2academy

Easily install and load all Rsquared Academy R packages.

Language: R - Size: 9.77 KB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

zyra121/advertising-sales-prediction

This repository showcases a linear regression analysis using the Advertising dataset, demonstrating both simple and multiple regression techniques in Python. It also features a custom implementation of Gradient Descent for a deeper understanding of the concepts. 🐱💻📊

Language: Python - Size: 1.33 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

mjavadg/Econometrics_Spring-2025

Python tutorials, lecture materials, and assignments for the Econometrics course taught to Master's students in Economics at Allameh Tabataba'i University.

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

tvercamer/VUB-masterproef-YouTube-UvVl

De gebruikte code bij mijn masterproef aan de VUB (Bedrijfskunde)

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MUSA-Zhanchao/MUSA5000-spatial-correlation

Assignment 2 for MUSA 5000

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federicofanini/bric

Ordinary Least Squares (OLS) analysis of the relationship between economic growth and human development in BRIC countries (Brazil, Russia, India, and China) from 2000 to 2019.

Language: Python - Size: 2.76 MB - Last synced at: 15 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

computerspieler/OLS-CUDA

An OLS estimation written with CUDA

Language: Cuda - Size: 22.5 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

LouisaKoschny/Do-Trade-Unions-Pay-Off

This project uses multiple linear regression analysis to assess the impact of trade union membership on annual income using data from the Northern Ireland Life and Times Survey. Methods include descriptive statistics, multiple linear regression, and goodness-of-fit analysis to assess the union wage effect.

Language: HTML - Size: 4.57 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

GabrielIamato/spotify_musics_analysis

Analysis of Popular Songs on Spotify (2023) - A data-driven exploration of the most streamed songs, uncovering trends, correlations, and insights using Python, data visualization, and statistical techniques.

Language: Jupyter Notebook - Size: 3.24 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

s1dewalker/Model_Validation

Model Management in Python. Steps involved in Model Validation and tuning. Testing Model Assumptions in Factor Analysis with OLS Regression.

Language: Jupyter Notebook - Size: 6.13 MB - Last synced at: 10 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

garfsters/Real-Estate-Price-Prediction

Using OLS regression (and Ridge and Lasso to compare), we worked on a project that uses a dataset to predict housing prices based on user inputs on house details.

Language: Python - Size: 252 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

fosetorico/pH_level_forecasting

End-to-End Project for pH Level Forecasting of Well Water Samples in Malawi, Conducted by Leeds Beckett University

Language: Jupyter Notebook - Size: 2.66 MB - Last synced at: 2 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

SantiagoEnriqueGA/custom_linear_learning

This repository focuses on building linear regression algorithms from scratch using only Numpy for faster array processing.

Language: Python - Size: 1.53 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Milanpeter-77/Coursework-Yacht-Pricing

Language: R - Size: 14.6 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Szymon-Czuszek/Quantitative-Suite

Welcome to the Data Analysis and Econometrics repository! This space is dedicated to providing examples and snippets for applying econometric methods using various tools such as Python, R, GRETL, Excel, and more.

Language: Python - Size: 1.88 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

larenwell/ai-ml-pycaret-beerhub-challenge

This project focuses on the development and evaluation of machine learning models to predict credit card application and crime rate.

Language: Jupyter Notebook - Size: 3.97 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

imildositoe/python_snippets

Python regression and probabilities snippets

Language: Jupyter Notebook - Size: 127 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

PranavlovesData/ExcelR_Data_Science_Assignments

This repository contains all the assignments and related files for excelR data science and machine learning course.

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Niteshchawla/Jamboree-LinearRegression

Analysis will help Jamboree in understanding what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of admission given the rest of the variables.

Language: Jupyter Notebook - Size: 1 MB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

puffdapaz/IPEApython

Além de explorar boas práticas em python, o propósito é de aplicar conceitos de Arquitetura Medallion, programação orientada a objetos e ETL, utilizando dados públicos sociais dos municípios brasileiros. Este repositório utiliza ainda DuckDB e Streamlit para exibição dos resultados

Language: Python - Size: 20.3 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

nmcintyre5/supervisedLearningFinalProject

Supervised Learning project aimed at using various features to predict life expectancy.

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

NajiAboo/MachineLearning

Machine Learning algorithms and models

Language: Jupyter Notebook - Size: 4.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

MarkoDojkic/Application-of-probability-and-statistics-methods

Final exam project for probability and statistics course.

Language: Jupyter Notebook - Size: 208 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

Language: Jupyter Notebook - Size: 670 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

shwetapardhi/Assignment-04-Simple-Linear-Regression-2

Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

Language: Jupyter Notebook - Size: 46.9 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

shwetapardhi/Assignment-04-Simple-Linear-Regression-1

Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi

Language: Jupyter Notebook - Size: 43 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

mugunthdinesh/FINA6337-Computational-Methods-in-Finance

This GitHub repository hosts assignments covering key financial analysis topics such as OLS regression, time series analysis, ARIMA and VAR models, and CAPM. Ideal for students and professionals seeking practical insights into finance, it offers a concise resource for honing analytical skills in financial modeling and forecasting.

Language: Jupyter Notebook - Size: 661 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

sumony2j/Linear_Regression

Explore a collection of linear regression projects showcasing implementations and applications in Python. From simple linear regression to advanced techniques like ridge and polynomial regression, this repository offers hands-on examples with diverse datasets.

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gepapago/Empirical-Research

Basic methodologies of Empirical Research applied on various case studies (R language)

Size: 46.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Onyango-S/Movie-Revenue-Patterns-through-Budget-Analysis

This project aims to uncover insights from the connection between movie budgets and gross revenue in the film industry.

Language: Jupyter Notebook - Size: 1.58 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Onyango-S/Housing_Prices_correlation

OLS Regression on housing dataset

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

green-jade/iMOD-analysis

imod 이력자료 데이터 분석/수요예측모형

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damaniayesh/Insurance_Regression_Prediction

The project provides a Regression on the Insurance Prediction Data which shows the features of individuals, tuned using Ridge & Lasso.

Language: Jupyter Notebook - Size: 294 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

amanraghuvanshi/MultiLinear-Regression---Bike-Sharing-Analysis

MultiLinear Model - US Bike Rental Company

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Nandhakumar-rg/Abalone-OLS-and-Tree-Regression

This repository contains an in-depth analysis of the Abalone dataset using OLS and Tree-based regression models. The models are evaluated based on their MSE and R2 scores.

Language: Jupyter Notebook - Size: 140 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

WilliamHope2020/GDP-Time-Series-in-R

This assignment relates to my 6th assignment in Econ 323 - Econometrics Analysis 2. It deals with GDP time series data.

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Maheshwari1990/-Prediction-with-Multiple-Regression-

Multiple Linear Regression Dataset Name - 50_startups data.

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ZhenyuWangg/-Regression-Analysis-and-Modeling-Research-on-Education-Between-Income

Conducted a comprehensive research project focused on regression analysis and modeling to explore the relationship between income and education.

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sahilichake/Indian-Crime-Data-Analysis-Forecasting

Conducted data analysis, statistical analysis, and data visualization on an Indian crime dataset. Applied various machine learning algorithms to gain insights from the data. Utilized Time-Series models for prediction and forecasting based on the crime data analysis.

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