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/30-Days-Of-Python

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

yawomkobara/buy_or_not

yawomkobara/cs-video-courses

List of Computer Science courses with video lectures.

yawomkobara/FinancialEngineering_IR_xVA

yawomkobara/fiveMinuteStats

A repo of short "vignettes" illustrating statistical concepts

yawomkobara/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

yawomkobara/industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

yawomkobara/lecture-datascience.notebooks

Notebooks for datascience.quantecon.org

yawomkobara/lecture-python.myst

Quantitative Economics with Python

yawomkobara/lifelines

Survival analysis in Python

yawomkobara/machine-learning

Content for Udacity's Machine Learning curriculum

yawomkobara/Machine-Learning-for-Asset-Managers

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

yawomkobara/machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

yawomkobara/machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

yawomkobara/machine-learning-interview-enlightener

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

yawomkobara/Materials

Holder for Pages and Materials for the CODATA/RDA Schools for Research Data Science

yawomkobara/Mathematics-for-ML

🧮 A collection of resources to learn mathematics for machine learning

yawomkobara/pyBibX

A Bibliometric and Scientometric Python Library Powered with Artificial Intelligence Tools

yawomkobara/pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

yawomkobara/python-for-econometrics-statistics-data-analysis

Code from "Introduction to Python for Econometrics, Statistics and Data Analysis" by Kevin Sheppard

yawomkobara/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

yawomkobara/rstanarm

rstanarm R package for Bayesian applied regression modeling

yawomkobara/scikit-learn

scikit-learn: machine learning in Python

yawomkobara/StatResourcesHub

StatsResourcesHub: Your go-to repository for all things statistics and programming. Find tutorials, code samples, and tips in Python, R, and more. Perfect for learners and data enthusiasts alike!

yawomkobara/statsmodels

Statsmodels: statistical modeling and econometrics in Python

yawomkobara/stochastic-control

Course notes for ECSE 506: Stochastic Control and Decision Theory

yawomkobara/survival

:exclamation: This is a read-only mirror of the CRAN R package repository. survival — Survival Analysis. Homepage: https://github.com/therneau/survival

yawomkobara/Survival-Analysis-wth-R-Programming-

Including Kaplan- Meier, Nelson Aalen, Fitting a Weibull dustribution

yawomkobara/time_series_handbook

yawomkobara/yawomkobara

Config files for my GitHub profile.