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

• UpdatedJun 5, 2024
• Julia

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.

• UpdatedMar 25, 2025
• TeX

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

• UpdatedDec 1, 2021
• C++

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.

• UpdatedApr 22, 2021
• Stata

Fast computation of some matrices useful in statistics

• UpdatedJan 22, 2024
• C

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

• UpdatedMar 25, 2025
• Python

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.

• UpdatedMay 30, 2021
• Jupyter Notebook

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

• UpdatedMar 26, 2021
• R

Master Degree Coursework: Econometrics I

• UpdatedNov 27, 2019
• Stata

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.

• UpdatedFeb 7, 2024
• Python

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.

• UpdatedOct 5, 2023
• Jupyter Notebook

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

• UpdatedJun 28, 2023
• Jupyter Notebook

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 y…

• UpdatedJun 12, 2021
• Jupyter Notebook

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.

• UpdatedAug 5, 2022
• Python

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

• UpdatedNov 22, 2019
• Jupyter Notebook

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

• UpdatedNov 11, 2024
• R

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

• UpdatedJun 8, 2021
• Jupyter Notebook

This repository introduces reader to basic concepts of simple linear regression and its application.

• UpdatedNov 17, 2022
• Jupyter Notebook

Linear regression on numerical attributes

• UpdatedOct 15, 2019
• HTML

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

• UpdatedJan 26, 2024
• Jupyter Notebook