Get started with machine learning using Python

Get started with machine learning using #Python:

  • Also, getting started with Python and machine learning is easy as there are plenty of online resources and lots of Python machine learning libraries available.
  • With basic Python programming skills under your belt, you’re ready to pick up basic machine learning skills.
  • Other online training worth checking out include:

    After getting a good feel for Python and machine learning, consider learning the open source Python libraries.

  • A few Python libraries to check out include:

    With an understanding of basic Python, machine learning skills, and Python libraries, you are all set.

  • Machine learning with Python is a great addition to your technical skillset, and there are lots of free and low-cost online resources available to help.

Machine learning is an in-demand skill to add to your resume. We walk through steps for wading into machine learning with the help of Python.
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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”