tdpetrou / Book-Reviews
☆26Updated 7 years ago
Alternatives and similar repositories for Book-Reviews:
Users that are interested in Book-Reviews are comparing it to the libraries listed below
- "Network/Graph Analysis in Python" repository of 3 hours training session held at ODSC East 2018 and JupyterCon 2018.☆37Updated 6 years ago
- (Deprecated) Task for the Search & Discovery data analyst job.☆21Updated 9 years ago
- Modeling Techniques in Predictive Analytics with Python and R☆67Updated 9 years ago
- In-class exercises for Deep Learning course at NYC Data Science Academy☆32Updated 7 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆116Updated 3 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆108Updated 4 years ago
- ☆24Updated 6 years ago
- PyData NYC 2017: Pandas Head to Tail☆57Updated 7 years ago
- Data Analytics, Statistics, Visualization (R / Python)☆92Updated 7 years ago
- This repository has the Python equivalent code for the book Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Br…☆35Updated 7 years ago
- Code for Pythonic visualization blog post☆40Updated 7 years ago
- Repository for doodles around Parliamentary Data, matter of possible interest to PDS, Parliamentary Library, et al☆27Updated 3 years ago
- ☆69Updated 9 years ago
- ☆97Updated 7 years ago
- JupyterCon Missing Data Talk 2018☆23Updated 6 years ago
- Simple scripts to setup a fresh data science box using an Ubuntu 12.04.* LTS 64-bit server running on an EC2☆163Updated 11 years ago
- Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)☆58Updated 7 years ago
- Tidy Data in Python Jupyter Notebook☆94Updated 2 years ago
- Repository for exploratory data transformation & visualization talk☆27Updated 8 years ago
- A safe place to experiment with git & GitHub in a group setting☆44Updated 2 years ago
- Python 3.x notebooks about real-world data cleaning and visualization☆71Updated 8 years ago
- Materials for my PyData Seattle talk☆21Updated 9 years ago
- ☆78Updated 9 years ago
- Simple employee cost/benefit model with plots. Supports a series of blog entries.☆70Updated 10 years ago
- Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017☆32Updated 7 years ago
- Using Python to recreate the code and charts used throughout David Robinson's Introduction to Empirical Bayes☆28Updated 7 years ago
- Task description and data for candidates applying to be a Data Analyst in the Discovery department at Wikimedia Foundation.☆111Updated 8 years ago
- Today I Learned Some Computer Stuff☆39Updated 6 years ago
- ☆66Updated last year
- Code snippets and tutorials for working with SparkR.☆66Updated 7 years ago