Jupyter notebook content for my OReilly book, the Python Data Science Handbook. This repository contains the full listing of IPython notebooks used to create the book, including all text and code. The code was written and tested with Python 3.5, though most (but not all) snippets will work correctly in Python 2.7. See also the free… Read More »Book: Python Data Science Handbook
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This post includes some useful tips for how to use Pandas for efficiently preprocessing and feature engineering from large datasets. Pandas has an apply function which let you apply just about any…
Discover how to use Python for data science in this four-hour course. Learn how you can use Python to store and manipulate data before you move on to analysis.
PY4E - Python for Everybody
Read "Python Data Visualization Cookbook" by Igor Milovanovic available from Rakuten Kobo. This book is written in a Cookbook style targeted towards an advanced audience. It covers the advanced topics of data vi...
In Python, date, time and datetime classes provides a number of function to deal with dates, times and time intervals. Learn more about it.
Read "Python Data Science Essentials - Second Edition" by Luca Massaron available from Rakuten Kobo. Become an efficient data science practitioner by understanding Python's key concepts About This Book Quickly get famili...
In the last few years 'Big Data' and 'Data Mining' have become the buzzwords of the tech industry. It's how Facebook knows what adverts to show you, it's how iPhones correct your typing and, apparently, how the NSA decides whether you are a terrorist. But what do these buzzwords actually mean? What are computers doing…
Since all of the libraries are open sourced, we have added commits, contributors count and other metrics from Github, which could be served as a proxy metrics for library popularity.
In this step-by-step tutorial, you'll learn about the practical differences in Python vs Java for object-oriented programming. By the end, you'll be able to apply your knowledge to Python, understand how to reinterpret your understanding of Java objects to Python, and use objects in a Pythonic way.
Machine Learning and Analytics
PYTHON PROGRAMMING PATTERNS WITH CODE #23
Today, I'm going to explain in plain English the top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey paper. Once you know what they are, how they work, what they do and where you ... Read More
https://gist.github.com/sumitgoyal2006/d10c4d932de3afedd2457dfbdfdadea9For complete professional training visit at https://www.bisptrainings.com/HomeFollow u...
This is a collection of the most useful free ebooks to learn Python programming for both beginner and advanced users. Python is a popular programming language used for a variety purposes from web…
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This presentation was posted by Jason Mayes, senior creative engineer at Google, and was shared by many data scientists on social networks. Chances are that you might have seen it already. Below are a few of the slides. The presentation provides a list of machine learning algorithms and applications, in very simple words. It also… Read More »Google Tutorial on Machine Learning
** Python for Data Science: https://www.edureka.co/data-science-python-certification-course **This Edureka video on KNN Algorithm will help you to build your...
