saifullahkatpar Goto Github PK

accomplishments

Certificates of Accomplishments

awesome

:computer: An awesome & curated list of best applications and tools for Windows.

codingthematrix

Code of the applications of linear algebra in Python

coursera-dl

Script for downloading Coursera.org videos and naming them.

coursera-p4e

data_science_workshop_iba_kandhkot

This repository contains training material for the workshop

dataminingcourse2017

Course Material at IBA

datasharing

The Leek group guide to data sharing

django-locallibrary-tutorial

Local Library website written in Django; example for the MDN server-side development Django module: https://developer.mozilla.org/en-US/docs/Learn/Server-side/Django.

django-portfolio

github-pages-with-jekyll

human_activity_recognition_dashboard

A dashboard that recognize the human activity based on readings from sensor data.

ibaforum

lda_sample

lynda-dl

A cross-platform python based utility to download courses from lynda.com for personal offline use.

lynda-video-downloader

This Lynda.com Video Downloader written with Python 3 will help you download all specified course videos in separate folders. You need to be an existing Lynda.com user in order to use it.

lynder

Lynda Tutorial Downloader

machine_learning

Asad's Code

matplotlib-tutorial

Matplotlib tutorial for beginner

medium_notebook

Repository containing notebooks of my posts on Medium

ml-model-flask-deployment

Demo project to show how Machine Learn Models are deployed on production using Flask API

ml-study

ML Learning Sabbatical Study Materials

mlmodels

mlmodels : Model ZOO for Pytorch, Tensorflow, Keras, Gluon models... (machine learning, deep learning)

nlidb_ui

nlp-university.of.michigan

Introduction to Natural Language Processing by University of Michigan

numerical_stats

Introduction to Numerical Methods and Statistics with Jupyter Notebooks & Python

ontology-alchemy

ontology-alchemy makes using RDF ontology definitions to create Python class hierarchies easy.

personalbookmanager

practical-time-series-analysis

Practical Time-Series Analysis, published by Packt

pydata_2016

Materials for talk at PyData London 2016