Tag: python

PyBites Code Challenges

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From PyBites: “Hone Your Python Skills in the Browser. Bites of Py are self contained 20-60 min Python (3.6) code challenges you can code and verify in the browser…. By signing in with GitHub you have access to our free tier of 7 introductory Bites. On the 1st of March, 2018 we will be releasing Bytes of Py as a Premium Subscription Service at US $9.99 per month. The subscription gives you … Continue Reading

Auburn University – Business Analytics Degree

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From Auburn University: “Business and governments need sharp, savvy professionals who can help them manage a potentially overwhelming volume of data and a dizzying rate of creation and provide clarity. Graduates of this program will be able to analyze data and use the findings to guide organizational decision-making, A business analytics degree offers a clear avenue to a fulfilling and financially-rewarding career…. Why Choose Business Analytics at Herbert? Tools of … Continue Reading

iPython Notebooks

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From GitHub: “This repo contains various iPython notebooks I’ve created to experiment with libraries and work through exercises, and explore subjects that I find interesting.” The notebooks include: Popular Python data science libraries NumPy SciPy Matplotlib Pandas Statsmodels Scikit-learn Seaborn NetworkX PyMC NLTK DEAP Genism Machine Learning Exercises Tensorflow Deep Learning Exercises Spark Big Data Labs Miscellaneous

An Example Machine Learning Notebook

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From GitHub: “In this notebook, I’m going to go over a basic Python data analysis pipeline from start to finish to show you what a typical data science workflow looks like. In addition to providing code examples, I also hope to imbue in you a sense of good practices so you can be a more effective — and more collaborative — data scientist. I will be following along with the … Continue Reading

Build a Predictive Model in 10 Minutes (using Python)

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From Analytics Vidhya: “Last week, we published “Perfect way to build a Predictive Model in less than 10 minutes using R“. Any one can guess a quick follow up to this article. Given the rise of Python in last few years and its simplicity, it makes sense to have this tool kit ready for the Pythonists in the data science world. I will follow similar structure as previous article with my additional … Continue Reading

Essentials of Machine Learning Algorithms (with Python and R Codes)

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From Analytics Vidhya: “Today, as a data scientist, I can build data crunching machines with complex algorithms for a few dollors per hour. But, reaching here wasn’t easy! I had my dark days and nights…. The idea behind creating this guide is to simplify the journey of aspiring data scientists and machine learning enthusiasts across the world. Through this guide, I will enable you to work on machine learning problems and … Continue Reading

Bayesian Modelling in Python

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“Welcome to ‘Bayesian Modelling in Python’ – a tutorial for those interested in learning how to apply bayesian modelling techniques in python (PYMC3). This tutorial doesn’t aim to be a bayesian statistics tutorial – but rather a programming cookbook for those who understand the fundamental of bayesian statistics and want to learn how to build bayesian models using python. The tutorial sections and topics can be seen below. Contents Introduction Motivation … Continue Reading

Emulating R plots in Python

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This tutorial covers the equivalent plotting commands in R and Python, with the goal of replicating R plots in Python: “Some commands can be straightforward replicated in Python, some are surprisingly hard to find equivalents without using custom functions etc.” The tutorial includes: Residual plots QQ plots Scale-location plots Leverage plots

Try Python

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From Code School: “Explore the basics of Python and learn what it means to store and manipulate numbers and words as well as make decisions with your program. Course Overview: Birds & Coconuts: Get started with Python by calculating how many swallows it takes to carry a coconut. Spam & Strings: Learn how to store characters in a string to combine, dissect, and slice words. Conditional Rules of Engagement: Explore … Continue Reading

Fluent Python: Clear, Concise, and Effective Programming

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From Amazon: “Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best–and possibly most neglected–features. Author Luciano Ramalho takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time. … Continue Reading