phelps-sg / python-bigdataLinks
Data science and Big Data with Python
☆136Updated 2 years ago
Alternatives and similar repositories for python-bigdata
Users that are interested in python-bigdata are comparing it to the libraries listed below
Sorting:
- Data Cleaning Libraries with Python☆288Updated 2 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).☆236Updated 2 years ago
- Machine Learning Tutorial in IPython Notebooks☆133Updated 3 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆330Updated 2 years ago
- Public Repository for cs109a, 2017 edition☆328Updated 2 years ago
- A step-by-step guide to get started with Applied Machine Learning☆140Updated 7 years ago
- Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)☆182Updated 8 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆280Updated 8 years ago
- General Assembly's Data Science course in Washington, DC☆185Updated 3 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆150Updated 5 years ago
- Lab for Linear and Logistic Regression, SciKit Learn☆42Updated 7 years ago
- Materials for PyCon 2017 presentation on optimizing Pandas code☆213Updated 6 years ago
- Using pandas for Better (and Worse) Data Science☆326Updated 6 years ago
- iPython NOtebooks on Stats☆165Updated last year
- Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan☆113Updated 8 years ago
- In the Data Science and Engineering program, engineering professionals combine the skills of software programmer, database manager, and s…☆28Updated 8 years ago
- ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.☆175Updated 2 years ago
- Course materials for my data pipeline video course with O'Reilly☆201Updated 8 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 10 years ago
- Scikit-learn tutorials for the Scipy 2013 conference☆324Updated 8 years ago
- Introduction to Python for Data Science for PyCon 2018☆130Updated 7 years ago
- Workshop: Python for Data Science☆63Updated 10 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 7 years ago
- Materials for the "Introduction to Machine Learning" class☆227Updated 6 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆287Updated 8 years ago
- ☆214Updated 4 years ago
- Guide explaining and implementing fundamental machine learning algorithms in Python☆172Updated 7 years ago
- SciPy 2017 Pandas Tutorial☆160Updated 4 years ago