ols-regression
There are 0 repository under ols-regression topic.
JuliaStats / MultivariateStats.jl
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
Language:Julia 370marcelomijas / econometrics-cheatsheet
Multiple econometrics cheat sheets with a complete and summarize review going from the basics of an econometric model to the solution of the most popular problems.
Language:TeX 89olmallet81 / URT
Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python
Language:C++ 87TatevKaren / 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 30- specification_curve
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 17 faosorios / fastmatrix
Fast computation of some matrices useful in statistics
Language:C 17BendeguzBiksi / Master-Studies-Econometrics-I
Master Degree Coursework: Econometrics I
Language:Stata 9vaitybharati / 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 9Guoliang2019 / Oil-Price-Modeling-with-Machine-Learning-Methods
Construct workable datasets from web data and applied various machine learning methods to predict future oil price
Language:Jupyter Notebook 5- r-structural-breaks-with-ml
julzerinos / r-structural-breaks-with-ml
Detecting structural breaks in time series data using statistical analysis and regression models in R.
Language:R 5 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 4boyla950 / 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 4imnikhilanand / 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 4mateoservent / coefeasy
Coefeasy is an R package under development for making regression coefficients more accessible. With this tool, you can read many key coefficients instantly.
Language:R 4sahilichake / 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.
Language:Jupyter Notebook 4Master Degree Coursework: Econometrics II
Language:Stata 3govardhan26 / Linear-regression
Linear regression on numerical attributes
Language:HTML 3rakeshjasti / Car-MPG
Predicting miles per gallon (MPG) for a car using UCI dataset
Language:Jupyter Notebook 3sanketmaneDS / Simple_Linear_Regression
This repository introduces reader to basic concepts of simple linear regression and its application.
Language:Jupyter Notebook 3Assignment-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 3Assignment-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 3Supervised-ML---Simple-Linear-Regression---Newspaper-data. EDA and Visualization, Correlation Analysis, Model Building, Model Testing, Model predictions.
Language:Jupyter Notebook 3Supervised-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 3bvtvusn / Magnet-based-encoder
Encoder using magnetometer on Arduino nano 33 BLE
Language:C++ 2KevinDepedri / 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 2myupeshkov / Econometrics_HSE
Econometrics courses (Coursera and HSE)
Language:Jupyter Notebook 2north0n-FI / Multivariate-Regression---King-County-House-Prices
Supervised Machine Learning Using Regression Analysis
Language:Jupyter Notebook 2omledufromage / Intro-to-Econometrics-Python-assignment
Python programming assignment developing a simulation study and exploring the OLS estimator.
Language:Python 2SMQuadri / Geely-Car-Price-Prediction
Machine Learning Project
Language:Jupyter Notebook 2sumeetkotaria11 / 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 2- Language:HTML 2
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 2AScick / Machine_Learning_Project
Bunch of exercises computed during the Machine Learning for Finance course.
Language:R 1calosor / linear_models
Linear regression models for Python
Language:Jupyter Notebook 1ShaikRiyazSandy / Simple-Linear-Regression
Simple Linear Regression
Language:Jupyter Notebook 1Szafranerio / California-Housing-PricesHousing-Price-Prediction-with-Linear-Regression
🤖Housing Price Prediction with Linear Regression
Language:Jupyter Notebook 1
