hakmimi Goto Github PK

100-numpy-exercises

A collection of 100 NumPy exercises (created by user rougier) that I completed at Byte Academy.

120-ds-interview-questions

My Answer to 120 Data Science Interview Questions

2015

Public material for CS109

a-collection-of-data-science-take-home-challenges

My Solutions to "A Collection of Data Science Take-Home Challenges" by Giulio Palombo.

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

buildingmachinelearningsystemswithpython

Source Code for the book Building Machine Learning Systems with Python

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

cpython

The Python programming language

data-analysis

Data Science Using Python

data-science--cheat-sheet

Cheat Sheets

data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

deep-learning-with-r-notebooks

R notebooks for the code samples of the book "Deep Learning with R"

django-realworld-example-app

django-semanticui-form

Twitter Bootstrap for Django Form

django-web-development-with-python

Code repository for Django Web Development with Python, published by Packt

dl-4-tsc

Deep Learning for Time Series Classification

ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

ebm-analytical

Python code for the analytical Energy Balance Model described in Rose, Cronin and Bitz (2017)

explained

Basics of ML libraries Explained through Jupyter Notebooks

flight_scraper

Scraping flight prices from Kayak.com

hakmimi

Config files for my GitHub profile.

housing-data-analysis

Boston housing data is wrangled and analyzed to predict the house prices based on different features of the house. It also includes usage on machine learning models to predict the prices

interpret

Fit interpretable machine learning models. Explain blackbox machine learning.

kaggle-avito

Winning solution to the Avito CTR competition

machine-learning

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

numpy-100

100 numpy exercises (100% complete)

numpy-exercise

numpy practice exercise with solution

numpy_exercises

Numpy exercises.