Topic: ols-regression Goto Github
Some thing interesting about ols-regression
Some thing interesting about ols-regression
ols-regression,Apex team`s multiple regression project. It contains: What is Multiple Regression? Advantages and disadvantages of multiple regression, least square method and real implementation.
User: abdirayimovs
ols-regression,DataScienceOverHood
User: acanacar
ols-regression,Specification Curve is a Python package that performs specification curve analysis: exploring how a coefficient varies under multiple different specifications of a statistical model.
User: aeturrell
Home Page: https://aeturrell.github.io/specification_curve/
ols-regression,Assignments of Deep Neural Networks Graduate Course - Fall 2021
User: alirezakhayyatian
ols-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.
User: anna-dang
ols-regression,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%..
User: ashishyadav24092000
Home Page: https://github.com/ashishyadav24092000/RBD__FabricStrength/blob/main/Code_FabricStrength.ipynb
ols-regression,Master Degree Coursework: Econometrics I
User: bendeguzbiksi
Home Page: https://www.barcelonagse.eu/sites/default/files/course-s001-quant-stats-methods.pdf
ols-regression,Master Degree Coursework: Econometrics II
User: bendeguzbiksi
Home Page: https://www.barcelonagse.eu/sites/default/files/15S002.pdf
ols-regression,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.
User: boyla950
ols-regression,Encoder using magnetometer on Arduino nano 33 BLE
User: bvtvusn
ols-regression,Fast computation of some matrices useful in statistics
User: faosorios
Home Page: https://faosorios.github.io/fastmatrix
ols-regression,To study the effect of 'Shall Issue Law' on crime. Dataset is a panel dataset. Have applied OLS, Pooled OLS, Fixed Effects Model & Entity Fixed Effects to reach a conclusion.
User: garimatuteja
ols-regression,Linear regression on numerical attributes
User: govardhan26
ols-regression,Construct workable datasets from web data and applied various machine learning methods to predict future oil price
User: guoliang2019
ols-regression,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.
User: imnikhilanand
ols-regression,EDA and Linear Regression on the house price dataset and Analysis to predict the house price.
User: jayesh368
ols-regression,A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
Organization: juliastats
ols-regression,Detecting structural breaks in time series data using statistical analysis and regression models in R.
User: julzerinos
ols-regression,Stock market prediction on 5 italian companies using VAR model, OLS regressions and LSTM recurrent neural networks over data retrieved from Refinitiv Eikon
User: kevindepedri
ols-regression,Prediction of Salary of individuals based on years of experience
User: manasik29
ols-regression,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
User: marblehub
ols-regression,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.
User: marcelomijas
ols-regression,Coeffeasy is an R package under development for making regression coefficients more accessible. With this tool, you can read many key coefficients instantly.
User: mateoservent
ols-regression,Imputing immunogenic phenotypes using Elastic Net to infer causality between gut microbiome and immune system.
User: matthijsknigge
ols-regression,Learn about Simple Linear Regression for Data Science
User: moindalvs
ols-regression,Predicting Delivery Time Using Sorting Time
User: moindalvs
ols-regression,Econometrics courses (Coursera and HSE)
User: myupeshkov
ols-regression,Supervised Machine Learning Using Regression Analysis
User: north0n-fi
ols-regression,Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python
User: olmallet81
ols-regression,Python programming assignment developing a simulation study and exploring the OLS estimator.
User: omledufromage
ols-regression,R package for residualizing covariates
User: ppanko
ols-regression,Predicting miles per gallon (MPG) for a car using UCI dataset
User: rakeshjasti
ols-regression,Understanding the COVID-19 situation in the USA using Statistical Analysis
User: rfmmonteiro99
ols-regression,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.
User: sahilichake
ols-regression,This repository introduces reader to basic concepts of simple linear regression and its application.
User: sanketmaneds
ols-regression,Simple Linear Regression
User: shaikriyazsandy
ols-regression,Machine Learning Project
User: smquadri
ols-regression,This project is aimed at analyzing and predicting Bitcoin price fluctuation using Natural Language Processing on Twitter data and subsequently applying VADER sentiment analysis.
User: sumeetkotaria11
ols-regression,Quantitative Methods (EH6105)
User: svmiller
Home Page: http://eh6105.svmiller.com
ols-regression,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.
User: tatevkaren
ols-regression,Sabanci University ECON 301 (Econometrics) Problem Set Solutions & Stata Analysis
User: ulaseraslan
ols-regression,RStudio project utilizing various statistical methods to replicate and diagnose the findings of Appel and Loyle from their study on post-conflict justice and foreign direct investment.
User: utkarsh-n
ols-regression,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.
User: vaitybharati
ols-regression,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.
User: vaitybharati
ols-regression,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.
User: vaitybharati
ols-regression,Supervised-ML---Simple-Linear-Regression---Newspaper-data. EDA and Visualization, Correlation Analysis, Model Building, Model Testing, Model predictions.
User: vaitybharati
ols-regression,Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data. EDA and data visualization, Correlation Analysis, Model Building, Model Testing, Model Prediction.
User: vaitybharati
ols-regression,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.
User: vaitybharati
ols-regression,Simple-linear-Reg-1
User: vaitybharati
ols-regression,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.
User: zjw-92
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