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midsummer_network

Creating character network graphs

mining-the-social-web-2nd-edition

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

mining-the-social-web-3rd-edition

The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)

mitx---machine-learning-with-python-from-linear-models-to-deep-learning-jun-11-2019

Course 4 of 4 in the MITx MicroMasters program in Statistics and Data Science

mitx_6.86x

Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning

mnist-digits-classification-with-tf---linear-model-and-mlp

Code from Coursera Advanced Machine Learning specialization - Intro to Deep Learning - week 2.

multi-label-text-classification

About Muti-Label Text Classification Based on Neural Network.

natural-language-processing-with-python-analyzing-text-with-the-natural-language-toolkit

My solutions to selected exercises to "Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit" by Steven Bird, Ewan Klein, and Edward Loper.

neural-networks-and-deep-learning

This is my assignment on Andrew Ng's course “neural networks and deep learning”

nlp-exercises

NLP Exercises

nlp_yelp_review_unsupervised

Train unsupervised LDA Topic Model on raw Yelp review text, use topic distributions as feature inputs to SGD Classification supervised models on unseen reviews.

pro-machine-learning-algorithms

Source Code for 'Pro Machine Learning Algorithms' by Kishore Ayyadevara

pycon-2017-eda-tutorial

Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

random-scripts

The project is about random code written for practice. Description of the code is within the files as comments.

stanford-cs229

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

twitter-sentimental-analysis

yarn