forked fromujjwalkarn/DataSciencePython
- Notifications
You must be signed in to change notification settings - Fork0
common data analysis and machine learning tasks using python
License
NotificationsYou must be signed in to change notification settings
androidcodehub/DataSciencePython
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
This repo contains a curated list of Python tutorials for Data Science, NLP and Machine Learning.
Curated list of R tutorials for Data Science, NLP and Machine Learning.
- Python 3 in one picture
- Awesome Python
- Jargon from the functional programming world in simple terms!
- Dive Into Python
- Learn Python Wiki on Reddit
- Learn 90% of Python in 90 Minutes
- 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
- Learn Python (Codecademy)
- Free Interactive Course: Intro to Python for Data Science (DataCamp)
- Introduction to Computer Science and Programming Using Python (MIT)
- Python for Everybody
- Python Programming Essentials
- 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
- 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
- Discover structure behind data with decision trees
- Getting Started with Random Forests: Titanic Competition on Kaggle,Python sample code
- RandomForestClassifier vs ExtraTreesClassifier in scikit learn
- Powerful Guide to learn Random Forest
- How are Feature Importances in RandomForestClassifier determined?
- Random forest interpretation with scikit-learn
- Random Forests in Python Tutorial
- Unbalanced classification using RandomForestClassifier in sklearn
- Random Forest with categorical features in sklearn
- How to output RandomForest Classifier from python?
- Lesson notebook: Ensembling, Bagging, and Random Forests
- Fastest SVM implementation usable in Python
- An example using python bindings for SVM library, LIBSVM
- What is the best SVM library usable from Python?
- How does sklearn.svm.svc's function predict_proba() work internally?
- Support vector machine in Python using libsvm example of features
- Linear SVC Machine learning SVM example with Python
- Understanding Support Vector Machine algorithm from examples (along with code)
- NLP with Python ORiley Book,Python 3
- Awesome Python - NLP
- Awesome Python - Text Processing
- Text Analytics : Intro and Tokenization
- NLTK BOOK
- Elegant N-gram Generation in Python
- Computing N Grams using Python
- N-grams: Explanation + 2 applications
- NLP Tutorial with Python
- A Comprehensive Guide to Sentiment Analysis
- Twitter-Sentiment-Analysis
- Basic Sentiment Analysis with Python
- What is the best way to do Sentiment Analysis with Python?
- How to Calculate Twitter Sentiment Using AlchemyAPI with Python
- Second Try: Sentiment Analysis in Python
- Sentiment Analysis with Python NLTK Text Classification
- Codes and Explanation
- 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
- 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
- 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
About
common data analysis and machine learning tasks using python
Resources
License
Uh oh!
There was an error while loading.Please reload this page.
Stars
Watchers
Forks
Releases
No releases published
Packages0
No packages published
Languages
- Python98.5%
- R1.5%