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This repo contains a curated list of Python tutorials for Data Science, NLP and Machine Learning.
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Curated list of R tutorials for Data Science, NLP and Machine Learning.
##Language
- Dive Into Python
- HIGHEST VOTED
- Quick Reference to Python
- The Elements of Python Style
- What does the yield keyword do in Python?
- Parsing values from a JSON file in Python
- Python Quora FAQs
- time-complexity of various operations - list/dict - in current CPython
- Scripting
##Machine Learning with Python
- Python Machine Learning Book
- Table of Contents and Code Notebooks
- Machine Learning with scikit learn
- Cheatsheet
##scikit-learn
- Wiki
- Introduction to machine learning with scikit-learn, Videos!
- A Gentle Introduction to Scikit-Learn: A Python Machine Learning Library
- PyData Seattle 2015 Scikit-learn Tutorial, sklearn_scipy2013
- SKLEARN BENCHMARKS: A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
- Code example to predict prices of Airbnb vacation rentals, using scikit-learn on Spark
- ML with scikit learn
- Parallel and Large Scale Machine Learning with scikit-learn, Meetup
##Linear Regression
- Linear Regression in Python, Blog Post
- Linear Regression using Scikit Learn
- A friendly introduction to linear regression (using Python)
- Linear Regression Example in Python
- Regression analysis using Python StatsModels package
##Logistic Regression
- Logistic Regression with scikit learn
- The Yhat Blog: Logistic Regression in Python
- Example of logistic regression in Python using scikit-learn
- TUTORIAL ON LOGISTIC REGRESSION AND OPTIMIZATION IN PYTHON
- Using Logistic Regression in Python for Data Science
##Neural Networks
- Implementing a Neural Network from scratch, Code
- Speeding up your Neural Network with Theano and the gpu, Code
- Recurrent Neural Net Tutorial Part 1, [Part 2] (http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-2-implementing-a-language-model-rnn-with-python-numpy-and-theano/), Code
##Data Science with Python
- awesome-python
- Pycon India 2015 Notes
- 5 important Python Data Science advancements of 2015
- Data Exploration with Numpy cheat sheet
- NLP
- Querying Craiglist with Python
- An introduction to Numpy and Scipy
- Create NBA Shot Charts
- PythoR- Python meets R
- How do I learn data analysis with Python?
- What are some interesting things to do with Python?
- Which is better for data analysis: R or Python?
- Web scraping in Python
##Pandas
##Text Mining
- NLP with Python ORiley Book, Python 3
- Text Analytics : Intro and Tokenization
- NLTK BOOK
- Elegant N-gram Generation in Python
- Computing N Grams using Python
- N-grams: Explanation + 2 applications
##Sentiment Analysis
##Pickle
- Python serialization - Why pickle?
- Serializing Python Objects, Binary Files
- What is Pickle in python ?
- How to cPickle dump and load separate dictionaries to the same file?
- Understanding Pickling in Python
##Regex Related
- RegExr
- Regex101
- Pythex
- How to use Regular Expressions (Regex) in Microsoft Excel both in-cell and loops
- Advanced Filters: Excel’s Amazing Alternative To Regex
##Shell Scripting
- Calling an external command in Python
- Running shell command from Python and capturing the output
- Can I use Python as a bash replacement?
- Python Scripts as a Replacement for Bash Utility Scripts
- How to Write a Shell Script using Bash Shell in Ubuntu
- Red Hat Magazine | Python for Bash scripters: A well-kept secret
- Embed bash in python
- Bash2py: A Bash to Python Translator
- Beginners/BashScripting
- The Beginner’s Guide to Shell Scripting: The Basics
- Linux Shell Scripting Tutorial v1.05r3 A Beginner's handbook