Repo where different methods for price regression are used (supervised machine learning)
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Updated
Jun 4, 2020 - Jupyter Notebook
Repo where different methods for price regression are used (supervised machine learning)
The purpose of my application was to solve a problem many businesses (small businesses in particular) face. They do not know how much to produce, where to price, how much to spend on advertising and many other questions. Eden’s purpose was to answer these questions for them easily and with no technical acumen required by the user. Eden would mod…
Script used for my undergraduate thesis
OLS regression with possibility of controlling for fixed effects and robust standard errors
Diagnostic tools for regression modeling. Julia-equivalent for diagnoser (https://github.com/robertschnitman/diagnoser).
Here I have checked and removed for heteroskedasticity .
GWAS of trait variance (C++)
R package to perform regression-based Brown-Forsythe test
Econometrics_regression analysis using R language
Basic methodologies of Empirical Research applied on various case studies (R language)
Diagnostic tools for regression modeling.
As part of this project, we have used Regression Analysis on top of a panel data on Guns in USA to determine the "Effect of Shall-Carry Law on Violence Rate and Incarceration Rate in United States".
Linear Multilinear and Logistic Regression in Machine Learning
An R package for time series modelling with mixture autoregressive and related models.
Full Log-Likelihood Heteroskedastic Regression with Deep Neural Networks and Tensorflow
Supplementary materials for the manuscript "Latent-class trajectory modeling with a heterogeneous mean-variance relation" by N. G. P. Den Teuling, F. Ungolo, S.C. Pauws, and E.R. van den Heuvel
Impact of macroecomonic variables on S&P 500
Detailed implementation of various regression analysis models and concepts on real dataset.
Sketching of Data via Random Subspace Embeddings
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