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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.
- Learn Python Codecademy
- Awesome Python
- Jargon from the functional programming world in simple terms!
- Dive Into Python
- Learn Python Wiki on Reddit
- Highest Voted Python Questions
- Python Basic Concepts
- 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 in Python
- Data Science IPython Notebooks
- Awesome Python - Data Analysis
- Statistics
- An Introduction to Scientific Python (and a Bit of the Maths Behind It) – NumPy
- Data Analysis and IPython Notebooks
- Python for Data Science: Basic Concepts
- Pycon India 2015 Notes
- 5 important Python Data Science advancements of 2015
- Data Exploration with Numpy cheat sheet
- 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
- The Guide to Learning Python for Data Science
- Free Interactive Course: Intro to Python for Data Science
- Python For Data Science - A Cheat Sheet For Beginners
- Top voted Python data science questions
- Awesome Python - Data Visualization
- Awesome Python - Map Reduce
- Intro to pandas data structures
- Useful Pandas Cheatsheet
- An Introduction to Scientific Python – Pandas
- 10 minutes to Pandas
- Useful Pandas Snippets
- Timeseries analysis using Pandas
- Pandas Exercises - Practice your Pandas skills
- Grouping in Pandas
- “Large data” work flows using pandas
- Easier data analysis with pandas (video series)
- Pandas Basics Cheat Sheet
- Quick Operations on a Pandas DataFrame
- Renaming Columns in Pandas (video)
- Deleting Columns from pandas DataFrame (video)
- Adding new Column to existing DataFrame
- Add one Row in a pandas.DataFrame
- Changing the order of DataFrame Columns
- Changing data type of Columns (video)
- Getting a list of the column headers from a DataFrame
- Converting list of dictionaries to Dataframe
- Getting row count of pandas DataFrame
- Most efficient way to loop through DataFrames
- Deleting DataFrame row based on column value
- Dropping a list of rows from Pandas DataFrame
- Sorting a DataFrame or a single column
- Filtering DataFrame rows by column value
- Filtering DataFrame rows using multiple criteria
- Dropping all non-numeric columns from a DataFrame
- Counting and removing missing values
- Selecting multiple rows and columns from a DataFrame
- Reducing the size of a DataFrame
- AI, ML Related List
- Data Normalization in Python
- Python Machine Learning Book
- Table of Contents and Code Notebooks
- Machine Learning with scikit learn
- Machine Learning Algorithms Cheatsheet
- How to compute precision, recall, accuracy and f1-score for the multiclass case with scikit learn?
- One Hot Encoding for Machine learning in Python
- Building a (semi) Autonomous Drone with Python
- Awesome Python - Machine Learning
- Computer Vision
- scikit learn on Wikipedia
- 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, Report results of sklearn benchmarks at openml.org
- How to get most informative features for scikit-learn classifiers?
- Code example to predict prices of Airbnb vacation rentals, using scikit-learn on Spark
- Machine Learning with scikit learn tutorial
- Parallel and Large Scale Machine Learning with scikit-learn, Meetup
- Saving classifier to disk in scikit-learn
- 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
- Run an OLS regression with Pandas Data Frame
- Logistic Regression with scikit learn
- Logistic Regression in Python
- Implementing the softmax function in Python
- What is the inverse of regularization strength in Logistic Regression? How should it affect my code?
- 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
- A good tutorial on implementing K Nearest Neighbors using scikit learn
- Is it possible to specify your own distance function using scikit-learn K-Means Clustering?
- Tutorial To Implement k-Nearest Neighbors in Python From Scratch
- Implementing your own k-nearest neighbour algorithm using Python
- knn Python implementation on StackOverflow
- kNN with big sparse matrices in Python
- Sklearn kNN usage with a user defined metric
- Implementing a Neural Network from scratch in Python, Code
- A Neural Network in 11 lines of Python
- Speeding up your Neural Network with Theano and the gpu, Code
- What is the best neural network library for Python?
- Recurrent Neural Net Tutorial in Python Part 1, Part 2, Code
- PyBrain: modular Machine Learning Library for Python
- Neural Networks Tutorial – a Pathway to Deep Learning
- How to extract the decision rules from scikit-learn decision-tree?
- How do I find which attributes my tree splits on, when using scikit-learn?
- Quora: What is a good Python library for decision trees?, StackOverflow
- Building Decision Trees in Python
- Pure Python Decision Trees
- Building a decision tree from scratch in Python - a beginner's tutorial
- Using Python to Build and Use a Simple Decision Tree Classifier
- Decision trees in python with scikit-learn and pandas
- Code for simple decision tree in Python
- Lesson notebook: Regression and Classification Trees