Stars
Python solutions to solve practical business problems.
Resources for learning about Text Mining and Natural Language Processing
Files associated with my live seminar "Java® Full Throttle: A One-Day, Code-Intensive Java Standard Edition Presentation"
A curated list of awesome Deep Learning tutorials, projects and communities.
Sample code for the video course: Modern Python: Big Ideas, Little Code
Spark: The Definitive Guide's Code Repository
Friendly utility to load your on-prem data, whether large or small, to Einstein Analytics Datasets, with useful features such as autoloading, dataflow control and dataset inspection.
Python interface to CoreNLP using a bidirectional server-client interface.
Official Python interface to CoreNLP using a bidirectional server-client interface.
Exercises for O'Reilly's Intermediate Python video series
Tracking, notes and programming snippets while learning predictive analytics
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Natural Language Processing Nanodegree from Udacity Platform, in which I implement Hidden Markov Model for POS Tagger, Bidirectional LSTM for English-French Machine Translation, and End-to-End LSTM…
Finding Donors for Charity - 3rd project for Udacity's Machine Learning Nanodegree
This repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.
fahimep / Udacity-Machine-Learning-Nanodegree
Forked from dsoellinger/Udacity-Machine-Learning-NanodegreeAll projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.
All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.
💖 A curated list of awesome resources for Udacity's MWS ND 💖
Projects created from Udacity's Data Analyst Nanodegree
A collection of my final project works for Udacity Data Analyst Nanodegree.
Source code for 'Developing Data Migrations and Integrations with Salesforce' by David Masri
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.
Coursera course with University of Michigan, 11/2016