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ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

models

Models built with TensorFlow

natural_language_processing

newspaper-articles-daily-crawler

An implementation to a Scrapy Web Crawler, that crawl article links from Newspapers websites on a daily basis. Mainly Arabic Written Websites

nlp

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

numerical-linear-algebra

This course contains the notebooks for the Numerical Linear Algebra elective in USF's MSAN program, summer 2017

office365itpros

Office 365 for IT Pros PowerShell examples

osmplotr

Data visualisation using OpenStreetMap objects

outlace.github.io

Blog

papers

Summaries of machine learning papers

project-docs

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

python

Python code for YouTube videos.

pythondatasciencehandbook

Jupyter Notebooks for the Python Data Science Handbook

realtimestream

Slides for the realtime stream processing tutorial at data gotham

sanfrancisco_crime_description_category_classification

A project where I use the San-Francisco crime dataset to do some data analytics and visualization, then using MLlib from Pyspark to build a classification model that can classify a crime description to one of 39 crime categories including (ASSAULT, BRIBERY, etc...)

scikit-learn

scikit-learn: machine learning in Python

semeval16

sentiment_model_template

The ultimate template to build a Sentiment Model starting from Linear SVM to Word2Vec and GLove

sophia

Neural networks from scratch

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

statsmodels

Statsmodels: statistical modeling and econometrics in Python

talkingdata_adtracking_frauddetection

A kaggle competition to predict whether a user will download an app after clicking a mobile app ad

taxi-driver-arrival-time-prediction

An attempt to solve the New York taxi arrival time prediction kaggle competition

tensor2tensor

A library for generalized sequence to sequence models

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

tensorflow-workshop

Slides and code from our TensorFlow Workshop.