neural-networks-demystified

Supporting code for short YouTube series Neural Networks Demystified.

nlp-in-practice

Full working examples in Python with accompanying dataset for Text Mining & NLP. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, word count with pyspark, simple text preprocessing, accessing pre-trained embeddings and more.

nlp-natural-language-processing

Projects and useful articles / links

nlp-notebooks

A collection of notebooks for Natural Language Processing from NLP Town

nlp-python-deep-learning

NLP in Python with Deep Learning

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

nlp_course

YSDA course in Natural Language Processing

nlp_overview

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

nlp_pipe_manager

A pipeline for NLP projects using SkLearn

notebooks

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

numpy-100

100 numpy exercises (with solutions)

numpy-tutorials

NumPy tutorials & educational content in notebook format

nyc-property-tax-record-fraud-detection-using-unsupervised-learning-models

This project analyzes New York City’s (NYC’s) real estate data to specifically identify property tax fraud. The main indicators of property tax fraud were property tax assessments that were too high or too low. Given a property dataset of 1,070,994 records and 32 data fields, we first described, visualized, and filled in missing values for each variable. Second, 45 additional variables were created in order to create the most accurate algorithm. Next, we used dimensionality reduction techniques to refine our dataset. Finally, we used (principal component analysis (PCA) and an autoencoder) to obtain two separate fraud scores. The scores were combined and then ranked to get a final fraud score.

opencv_satyamallick

Course material from Open CV by Satya Mallick.

opencvminiprojects

12 Mini Projects done using OpenCV in Python as a part of Master Computer Vision™ OpenCV4 in Python with Deep Learning course offered by Udemy. Created and taught by Rajeev D. Ratan.

pandas-tutorial

Material for the pandas tutorial at EuroScipy 2016

pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

pandas_exercises

Practice your pandas skills!

papers-literature-ml-dl-rl-ai

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

path-to-senior-engineer-handbook

All the resources you need to get to Senior Engineer and beyond

payal_bhatia.github.io

Personal Website and blog

payalbhatia

pbpython

Code, Notebooks and Examples from Practical Business Python

practice--projects-case-study

Machine Learning- Case study

practice-and-projects

pragmaticai-gcp

Pragmatic AI solutions on GCP

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

production-data-science

Production Data Science: a workflow for collaborative data science aimed at production

production-tools

A bare-bones repository demonstrating how to set up tools for data science projects that will help you write higher quality code.