ols-regression

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

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

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.

Fast computation of some matrices useful in statistics

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

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.

Master Degree Coursework: Econometrics I

Linear regression on numerical attributes

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

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

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.

Construct workable datasets from web data and applied various machine learning methods to predict future oil price

Quantitative Methods (EH6105)

Supervised Machine Learning Using Regression Analysis

Machine Learning Project

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.

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

Simple linear regression using ordinary least squares (OLS)

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%..

Learn about Simple Linear Regression for Data Science