12 Python Resources for Data Science

A plethora of #Python Resources for #DataScience:  #abdsc #BigData #MachineLearning

  • About 8,300 articles related to Python have been posted on Data Science Central, according to Google.
  • Below is a small sample — the 12 most useful and popular articles to get started with Python and data science.
  • The Guide to Learning Python for Data Science has been moved here.
  • To receive updates about Python and any other data science topics, sign-up with DSC

About 8,300 articles related to Python have been posted on Data Science Central, according to Google. Below is a small sample — the 12 most useful and popular…
Continue reading “12 Python Resources for Data Science”

Data Science in Python: Pandas Cheat Sheet

#DataScience in #Python — Pandas Cheat Sheet:  #abdsc #BigData #MachineLearning by @DataCamp

  • This cheat sheet, along with explanations, was first published on DataCamp.
  • To view other cheat sheets (Python, R, Machine Learning, Probability, Visualizations, Deel Learning, Data Science, and so on) click here.
  • To view a better version of the cheat sheet and read the explanations, click here.

This cheat sheet, along with explanations, was first published on DataCamp. Click on the picture to zoom in. To view other cheat sheets (Python, R, Machine Lea…
Continue reading “Data Science in Python: Pandas Cheat Sheet”

Most Popular Programming Languages For Machine Learning And Data Science

Most popular programming languages for machine learning and data science:  #tech #developers

  • Short Bytes: In recent times, the demand for machine learning and data science experts has witnessed an exponential growth.
  • So, what programming languages should one learn to land a machine learning or data science job?
  • To do this, the machine learning and data science skills were searched in conjunction with the prominent programming languages like C, Java, C++, and JavaScript.
  • Python and R were included as they are known to be popular for machine learning and data science.
  • We also see that in the past couple of years, there’s a sharp increase in the popularity of these languages in machine learning and data science’s context.

Short Bytes: In recent times, the demand for machine learning and data science experts has witnessed an exponential growth. So, what programming languages should one learn to land a machine learning or data science job? The answer lies in the languages like Python, R, and Java.
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Urban Sound Classification with Neural Networks in Tensorflow

Urban Sound Classification with #NeuralNetworks in Tensorflow #KDN

  • In this blog post, we will learn techniques to classify urban sounds into categories using machine learning.
  • Today, we will first see what features can be extracted from sound data and how easy it is to extract such features in Python using open source library called Librosa.
  • Fortunately, some researchers published urban sound dataset.
  • It contains 8,732 labelled sound clips (4 seconds each) from ten classes: air conditioner, car horn, children playing, dog bark, drilling, engine idling, gunshot, jackhammer, siren, and street music.
  • In this dataset, the sound files are in .


This post discuss techniques of feature extraction from sound in Python using open source library Librosa and implements a Neural Network in Tensorflow to categories urban sounds, including car horns, children playing, dogs bark, and more.

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12 Python Resources for Data Science

12 #Python Resources for #DataScience  #ArtificialIntelligence #MachineLearning #AI

  • About 8,300 articles related to Python have been posted on Data Science Central, according to Google.
  • Below is a small sample — the 12 most useful and popular articles to get started with Python and data science.
  • The Guide to Learning Python for Data Science has been moved here.
  • To receive updates about Python and any other data science topics, sign-up with DSC

About 8,300 articles related to Python have been posted on Data Science Central, according to Google. Below is a small sample — the 12 most useful and popular…
Continue reading “12 Python Resources for Data Science”

Data Science in Python: Pandas Cheat Sheet

#DataScience in #Python — Pandas Cheat Sheet:  #abdsc #BigData #MachineLearning by @DataCamp

  • This cheat sheet, along with explanations, was first published on DataCamp.
  • To view other cheat sheets (Python, R, Machine Learning, Probability, Visualizations, Deel Learning, Data Science, and so on) click here.
  • To view a better version of the cheat sheet and read the explanations, click here.

This cheat sheet, along with explanations, was first published on DataCamp. Click on the picture to zoom in. To view other cheat sheets (Python, R, Machine Lea…
Continue reading “Data Science in Python: Pandas Cheat Sheet”

50+ Data Science and Machine Learning Cheat Sheets

50+ #DataScience and #MachineLearning Cheat Sheets #KDN

  • Here are the most important ones that have been brainstormed and captured in a compact few pages.Mastering Data science involves understanding of statistics, Mathematics, Programming knowledge especially in R, Python & SQL and then deploying a combination of all these to derive insights using the business understanding & a human instinct—that drives decisions.Here are the cheatsheets by category:Python is a popular choice for beginners, yet still powerful enough to back some of the world’s most popular products and applications.
  • The data visualization with ggplot2 seems to be a favorite as it helps when you are working on creating graphs of your results.For a data scientist basics of SQL are as important as any other language as well.
  • SQL cheatsheets provide a 5 minute quick guide to learning it and then you may explore Hive & MySQL!Apache Spark is an engine for large-scale data processing.
  • The essentials of Apache Spark cheatsheet explains its place in the big data ecosystem, walks through setup and creation of a basic Spark application, and explains commonly used actions and operations.Hadoop emerged as an untraditional tool to solve what was thought to be unsolvable by providing an open source software framework for the parallel processing of massive amounts of data.
  • These cheat sheets gives an idea about both the nature of your data and the problem you’re working to address, and then suggests an algorithm for you to try.Django is a free and open source web application framework, written in Python.


Gear up to speed and have Data Science & Data Mining concepts and commands handy with these cheatsheets covering R, Python, Django, MySQL, SQL, Hadoop, Apache Spark and Machine learning algorithms.
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