rezaghari Goto Github PK

2018-world-cup-matches-data-scraping

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

crm

data-science--cheat-sheet

Cheat Sheets

digikala_history

Extract and analyze the history of your purchases on Digikala

django-crm

elasticsearch

Free and Open, Distributed, RESTful Search Engine

exercism.io-python

Exercism solutions that I enjoy the implementation

factory

Now an imaginary factory and it's pieces! Python, Django, MySQL, Bootstrap, JS and maybe Ionic!

first-contributions

🚀✨ Help beginners to contribute to open source projects

firstdjango

friends-series-webscraping

game-of-thrones-episodes-scraping

global-terrorism-eda

Global Terrorism Exploratory Data Analysis based on Global Terrorism dataset. Also performed the analyses specifically for Iran.

guess_game

first commit

python_tips

Some Python tips for beginner to intermediate users. Also used as a personal cheat sheet. Featured here https://bit.ly/2ZaV4Pl

real_estate_website

Imaginary real estate client wants a website in Django

rezaghari.github.io

rinse-over-run

Winners of the Sustainable Industry: Rinse Over Run competition

sms_serial_verification

statistics-for-data-science

Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

twitter-word-cloud

Twitter word cloud generator

yelp_cuisine_regression

Am exercise. Using multiple linear regression, we're trying to predict how may a restaurant get a ranking on yelp, based on many different features.