Jackstraw Weighted Shrinkage Methods
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Updated
Nov 17, 2016 - R
Jackstraw Weighted Shrinkage Methods
These are the custom assignments based on book Introduction to Statistical Learning in R
Disciplina sobre métodos e abordagens de análises de dados em Ecologia, oferecida conjuntamente para alunos avançados da graduação e de pós-graduação
Exploratory Data Analysis of the Stackexchange datasets using python
IE/EEE595: Final Take-Home Exam
Python code of Introduction to Statistical Learning
Scientific research modelling the fish physico-thermal habitat with a functional regression model.
Logistic regression, Lasso, SVM, Decision Trees, Random Forests
Implementation of ISLR labs, exercises in Python
[R] Repo to save the code from my statistical learning practices
Personal Notes + Exercises and Applications in Python
Descriptive Statistics and Probability Distributionsの日本語版リポジトリ Japanese version of a published repository "Descriptive Statistics and Probability Distributions"
Statistical analysis of ordered logit models on the classification of the results of Serie A 2021/2022 matches and prediction of the no penalty expected goal of AC Milan using generalized linear models.
Time series analysis of the car sales in italy using HWES (Holt-Winter's exponential smoothing), SARIMA (Seasonal Autoregressive Integrated Moving Average) and SARIMAX (Seasonal Autoregressive Integrated Moving Average with exogenous regressor) models
Programing Phython to Data Science and interacting with libraries as Numpy, Pandas, Seaborn and Matplotlib
Python package for data augmentation inspired by Mixup: Beyond Empirical Risk Minimization
Accessible implementation of statistical learning algorithms, non-parametric and high-dimensional methods.
This repo is dedicated to documenting learning process of multivariate analysis techniques.
Jogo da velha para dispositivos móveis.
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