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Kaggle 30 Days of ML - Day 1

Kaggle 30 Days of ML - Day 1 starts with the Kaggle environment introduction, practice using their integrated notebooks, and getting hands-on with the Python programming language #kaggle #python #machinelearning #30daysofml #programming #stem #ai

Kaggle Starting Page Starting today Kaggle is offering 30 days of tutorials for those looking to get started with Machine Learning. Kaggle 30 Days of ML – Day 1 starts with a walkthrough of the Kaggle environment to get participants familiar with their user interface, practice using their integrated notebooks, and get hands-on with the Python programming language. The first machine learning…

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Use Git in Your Next Data Science Project

Git in Action Let’s be honest, source control isn’t the most exciting topic to discuss in the world of data science, but it is crucial to both understand and use is it in your projects. Here are the top 10 reasons to start using Git in your Data Science Projects It’s free! You can download Git from here and install it. Once you have it installed you can create a Github account here and start…

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#code #control #data #Development #engineering #Git #github #ide #science #source

Get Up to $150 in AWS Credits

Do you want to earn up to $150 (USD) in Amazon Web Services (AWS) credits just for learning about AWS? Sign up for AWSEducate and complete one if their training paths by May 31, 2019, and you will be rewarded the credits.

I have started one of the paths and up to this point it is just a bunch of video tutorials for getting familiar with the AWS – there haven’t been any quizzes or hands-on…

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#amazon #AWS #aws credits #computing #education

Changing Github Credentials on Mac OS

Lately, I have been having a heck of a time changing my Github credentials on Mac OS. Everything I would try wouldn’t “stick” or would somehow get reverted – even when I would manually delete my credential from Keychain Access. I needed to do this as I want to make commits to Github under my other username/account.

Keychain Access Here Are Things that Didn’t Work

Using the Git command line to…

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#Git #git credentials on mac #github #github credentials on mac #keychain #mac #mac os #source #source control

Your First Step Into Data Science: Getting Set Up In 15 Minutes

One of the most frustrating and confusing parts of getting started in Data Science is getting your machine set up. With the steps outlined here, you can have a Python environment set up and running in less than 15 minutes.

Here are the steps to get your machine set up for Data Science:

Install Python

Install Anaconda

Create an Environment

Activate the Environment

Install Packages

Write and Run…

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#Data Science #Deep Learning #Linux #Machine Learning #MacOS #Numpy #Pandas #scikit-learn #Windows

Udacity Computer Vision Preview

Udacity is offering a new 3-month Computer Vision Nanodegree as a part of its School of Artificial Intelligence. Based on our experience with completing the first term of their Self-Driving Car Nanodegree this program has the potential to extremely interesting, very challenging, and personally rewarding. To get a sample of what this program has to offer we completed the free preview of the…

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#Computer Vision #Convolutional Neural Network #Deep Learning #deep learning nanodegree #Neural Network #Udacity

3 Quick Ways to Create Graphs of Your Class Distributions in Python

Whenever we are building machine learning models we always have to evaluate the data. For classification problems, at the very least, we need to look at the class distributions to see how balanced or unbalanced our training set is. Here are 3 quick ways to use Python to visualize the class distributions (each less than 10 lines of code): Python Setup Code (so we have data to look at): import…

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#Classification #Graph #Machine Learning #Matplotlib #Numpy #Pandas #Pyplot #Python #Visualization

My Machine Learning Articles on CodeProject

About a week ago I wrote and submitted 2 articles for the Machine Learning and AI Challenge on CodeProject. While I will admit that I put these articles together rather hastily, they do demonstrate many of the core tasks in a machine learning project; such as: performing a preliminary review of the data, pre-processing data, building a machine learning pipeline, and performing comparisons of the…

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#Anaconda #CodeProject #Data Science #Data Science. Machine Learning #machine learning algorithms #Pandas #Python #Regular Expression #scikit-learn #Scripts

Two Great, Free Courses in Data Science Are Starting Today

Coursera is a great resource for continuing your learning and education as a software engineer and/or expanding into the field of data science. While I have become a bit dismayed by their increasing prices over the years, and I have started to take more courses at Udacity (see details on the Self-Driving Car Nanodegree program that I am currently in here – more blog posts on this are soon to come…

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#Coursera #Data Science #Deep Learning #Kaggle #Keras #Python #TensorFlow #Udacity

Setting the Python Anaconda Environment in VS Code

VS Code is an excellent IDE for working with all kinds of different languages and projects. Additionally, I am quite surprised by how many open source developers (i.e. Microsoft “detractors”) out there have taken on VS Code as their day-to-day IDE. For my work, VS Code performs equally well when using Python for data science projects as it does for any other development I am doing – I can easily…

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#Anaconda #Debugging #Development #Python #VS Code

Using Keras and TensorFlow in Kaggle Competition to Classify Satellite Data

If you’re reading this blog then I am sure you have heard of Kaggle. There is a competition under way for classifying satellite data as icebergs or ships. Additionally, there is a great “starter” kernel available using Keras for applying a convolutional neural network to the satellite data. That kernel even provides some sample images of what the satellite data looks like for an iceberg versus a…

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#CNN #Convolutional Neural Network #Kaggle #Keras #Python #TensorFlow

The Easiest Way to Exit from Vi and Vim

Personally Vi and Vim are painful to work with and I always forget how to exit out of the editor when I am done working. So, for my reference and yours, here is the easiest way to exit out of Vi or Vim: To save your work and exit: press "Esc" then ":" followed by "wq" and "Enter" ESC :wq ENTER Even easier: press "Esc" then ":" followed by "x" and "Enter" ESC :x ENTER

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#MacOS #Python #Unix #Vi #Vim

10 Elegant Scripts for Working with List, Arrays, and Tuples in Python

We all need to work with lists, arrays, and tuples when programming and it seems like every time I work with Python I am impressed by someone else’s concise, elegant code for working with lists, arrays, and tuples. When I come across one of these I end up using that tip/trick a few times then get pulled into another project that doesn’t use Python and quickly forget what I learned; consequently,…

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#Array #Elegant #List #Python #Scripts #Tip #Tuple

Using Anaconda with Python and Running Out of Disk Space? Here's a Tip to Quickly Free Up a Lot of Space

Using Anaconda with Python and Running Out of Disk Space? Here’s a Tip to Quickly Free Up a Lot of Space

With all of the Python code I have been writing lately and using Anaconda to manage the installation of packages, I am been watching the free disk space on my machine disappear at an alarming rate – Python has some huge packages and this adds up quickly – especially if you are installing specific versions of Python in your Anaconda environments. I am surprised that I did not learn about this…

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#Anaconda #Data Science. Machine Learning #Free Memory #Python #Quick #Tip

Starting the Udacity Self-Driving Car Engineer Nanodegree

While moving forward in learning computer vision, machine learning, deep learning, and so may other facets that comprise “AI”, I have enrolled in Udacity’s Self-Driving Car Engineer Nanodegree. I want to see and learn how a wide range of technologies can be combined to solve an incredibly challenging like that of controlling a self-driving car – not to mention having an opportunity to learn about…

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The Easiest Way to Install TensorFlow on Your Development Machine - OS X, Linux, or Windows

Anaconda takes a lot of the pain out of getting the necessary Python packages installed for data science. Additionally, it can make getting TensorFlow installed extremely easy. When installing Python packages for development, using environments with Anaconda makes it easy to avoid conflicts between Python package versions. This Gist will create an Anaconda environment that has TensorFlow and a…

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#Anaconda #Data Science #Deep Learning #Development #Linux #OS X #Python #TensorFlow #Windows

Understanding Softmax as an Activation Function in Deep Learning

In deep learning and neural networks the final layer that data is passed through is call the “output layer”. Within this layer is an “activation function” that will determine the final output; for example, in a binary classification the activation function could be a sigmoid function that will produce a 0 or a 1 based on a threshold to indicate which class the input belongs to. In the case of…

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#Activation Function #Classification #Deep Learning #Neural Networks #Softmax #TensorFlow

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