# Tag: 7 Steps (15)

**7 Steps to Mastering Data Preparation for Machine Learning with Python — 2019 Edition**- Jun 24, 2019.

Interested in mastering data preparation with Python? Follow these 7 steps which cover the concepts, the individual tasks, as well as different approaches to tackling the entire process from within the Python ecosystem.**7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition**- Jun 3, 2019.

This is the second part of this new learning path series for mastering machine learning with Python. Check out these 7 steps to help master intermediate machine learning with Python!**7 Steps to Mastering SQL for Data Science — 2019 Edition**- May 17, 2019.

Follow these updated 7 steps to go from SQL data science newbie to practitioner in a hurry. We consider only the necessary concepts and skills, and provide quality resources for each.**7 Steps to Mastering Basic Machine Learning with Python — 2019 Edition**- Jan 29, 2019.

With a new year upon us, I thought it would be a good time to revisit the concept and put together a new learning path for mastering machine learning with Python. With these 7 steps you can master basic machine learning with Python!**7 Steps to Mastering Deep Learning with Keras**- Oct 30, 2017.

Are you interested in learning how to use Keras? Do you already have an understanding of how neural networks work? Check out this lean, fat-free 7 step plan for going from Keras newbie to master of its basics as quickly as is possible.**7 Steps to Mastering Data Preparation with Python**- Jun 2, 2017.

Follow these 7 steps for mastering data preparation, covering the concepts, the individual tasks, as well as different approaches to tackling the entire process from within the Python ecosystem.**7 More Steps to Mastering Machine Learning With Python**- Mar 1, 2017.

This post is a follow-up to last year's introductory Python machine learning post, which includes a series of tutorials for extending your knowledge beyond the original.

**7 Steps to Mastering Apache Spark 2.0**- Sep 16, 2016.

Looking for a comprehensive guide on going from zero to Apache Spark hero in steps? Look no further! Written by our friends at Databricks, this exclusive guide provides a solid foundation for those looking to master Apache Spark 2.0.

**7 Steps to Understanding Computer Vision**- Aug 9, 2016.

A starting point for Computer Vision and how to get going deeper. Dive into this post for some overview of the right resources and a little bit of advice.**7 Steps to Understanding NoSQL Databases**- Jul 27, 2016.

Are you a newcomer to NoSQL, interested in gaining a real understanding of the technologies and architectures it includes? This post is for you.**7 Steps to Mastering SQL for Data Science**- Jun 16, 2016.

Follow these 7 steps to go from SQL data science newbie to seasoned practitioner quickly. No nonsense, just the necessities.**R Learning Path: From beginner to expert in R in 7 steps**- Mar 23, 2016.

This learning path is mainly for novice R users that are just getting started but it will also cover some of the latest changes in the language that might appeal to more advanced R users.**7 Steps to Understanding Deep Learning**- Jan 11, 2016.

There are many deep learning resources freely available online, but it can be confusing knowing where to begin. Go from vague understanding of deep neural networks to knowledgeable practitioner in 7 steps!**7 Steps to Mastering Machine Learning With Python**- Nov 19, 2015.

There are many Python machine learning resources freely available online. Where to begin? How to proceed? Go from zero to Python machine learning hero in 7 steps!**7 Steps for Learning Data Mining and Data Science**- Nov 28, 2013.

[http likes 823] How to learn data mining and data science? I outline seven steps and point you to resources for becoming a data scientist.