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A Beginner’s Guide to Data Engineering – Part II
In this post, I share more technical details on how to build good data pipelines and highlight ETL best practices. Primarily, I will use Python, Airflow, and SQL for our discussion.
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How to do Machine Learning Efficiently
I now believe that there is an art, or craftsmanship, to structuring machine learning work and none of the math heavy books I tended to binge on seem to mention this.
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 Top 5 Best Jupyter Notebook Extensions
Check out these 5 Jupyter notebook extensions to help increase your productivity.
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Choropleth Maps in R
Choropleth maps provides a very simple and easy way to understand visualizations of a measurement across different geographical areas, be it states or countries.
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Text Processing in R
There are good reasons to want to use R for text processing, namely that we can do it, and that we can fit it in with the rest of our analyses. Furthermore, there is a lot of very active development going on in the R text analysis community right now.
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Time Series for Dummies – The 3 Step Process
Time series forecasting is an easy to use, low-cost solution that can provide powerful insights. This post will walk through introduction to three fundamental steps of building a quality model.
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Data Science in Fashion
Fashion industry is an extremely competitive and dynamic market. Trends and styles change with the blink of an eye. Data Science can be used here on historical data to predict the trends which will be “Hot” hence potentially saving a lot of time and money.
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Is Google Tensorflow Object Detection API the Easiest Way to Implement Image Recognition?
There are many different ways to do image recognition. Google recently released a new Tensorflow Object Detection API to give computer vision everywhere a boost.
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Applying Machine Learning to DevOps
This article explains the synergy between DevOps and Machine Learning and their applications like tracking application delivery, troubleshooting and triage analytics, preventing production failures, etc.
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Top Stories, Feb 19-25: Top 20 Python AI and Machine Learning Open Source Projects; Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch
Also: Want a Job in Data? Learn This; A Comparative Analysis of Top 6 BI and Data Visualization Tools in 2018; 5 Fantastic Practical Natural Language Processing Resources; Neural network AI is simple
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Top 5 Best Jupyter Notebook Extensions
Time Series for Dummies – The 3 Step Process