yawomkobara

30-Days-Of-Python

30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.

Adv_Fin_ML_Exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

advances-in-financial-ml-notes

appliedstats

:bar_chart: Methods of Applied Statistics Course Textbook Repository

yawomkobara/time_series_handbook

yawomkobara/cssc-2021-r-shiny-workshop

What makes R Shiny so shiny? A step-by-step introduction to interactive dashboards in R

yawomkobara/seaborn

Statistical data visualization using matplotlib

yawomkobara/statistical_foundations

yawomkobara/ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

yawomkobara/Pretoria_R

Guide for Videos - CODATA-RDA Research Data Science Schools - Pretoria 2021

yawomkobara/ThinkBayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

yawomkobara/ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

yawomkobara/ModSimPy

Text and supporting code for Modeling and Simulation in Python

yawomkobara/ThinkBayes

Code repository for Think Bayes.

yawomkobara/ThinkComplexity2

Book and code for Think Complexity, 2nd edition

yawomkobara/mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

yawomkobara/ThinkJavaCode2

Supporting code for Think Java, 2nd edition, by Allen Downey and Chris Mayfield.

yawomkobara/BeyondMLR

Repo for January 2021 version of Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R. The rendered version can be found at: https://bookdown.org/roback/bookdown-BeyondMLR/

yawomkobara/reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

yawomkobara/CS2900-Lab-1

First CS2900 lab

yawomkobara/ISLR.jl

JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"

yawomkobara/approx-queueing-theory

Approximations to the Erlang C queue length formula for M/M/n queues

yawomkobara/bookdown

Authoring Books and Technical Documents with R Markdown

yawomkobara/ThinkDataStructures

LaTeX source and supporting code for Think Data Structures: Algorithms and Information Retrieval in Java

yawomkobara/DALEX

moDel Agnostic Language for Exploration and eXplanation

yawomkobara/cheatsheets

RStudio Cheat Sheets

yawomkobara/appliedstats

:bar_chart: Methods of Applied Statistics Course Textbook Repository

yawomkobara/bookdown-demo

A minimal book example using bookdown

yawomkobara/pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

yawomkobara/automl-in-healthcare-review

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

yawomkobara/mlday-tokyo

Colabs for ML Day Tokyo

yawomkobara/PhysicalModelingInMatlab

Text and code for Physical Modeling in MATLAB

yawomkobara/WorldQuant-University-Applied-Data-Science

WorldQuant University Applied Data Science

yawomkobara/machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.