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Applied Machine Learning

One of the top careers in the world is the machine learning engineer. You want to become a machine learning engineer, but you don’t know where to start or what to learn. I’ve created this platform to help you attain the real-world skills you need to become a machine learning engineer in the applied space. This platform is a one stop shop. I’ll show you the steps you need to take, what skills you’ll need to learn and even how to prepare for the interview. If you’re serious about becoming a machine learning engineer, then this is where you do it.
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Welcome to LogikBot

Machine Learning Education

Companies Learning with LogikBot

A Self-Study Guide for Machine Learning Practitioners

  • Real-World

    This platform was designed to teach you what you need for the real-world. You'll learn theory but only in conjunction with skills employers are looking for.

  • Comprehensive

    You’ll learn the vernacular, gain the skills employers are looking for and learn everything you need to know in order to gain your first role as a machine learning engineer.

  • In-Depth

    You’ll learn Python, statistics, deep learning with Keras, SQL, XGBoost, algorithms and much more. This won’t be an easy path. The amount of information you’ll need to learn and ingest is voluminous but you are up to task.

What Will You Learn?

  • Python

    Python has become the gold standard in the applied space for building machine learning models. This platform is all Python.

  • Data Cleansing

    The majority of the job of a machine learning engineer is data preparation. You’ll learn in-depth data wrangling skills.

  • Statistics

    At logikBot, you'll learn applied statistics for machine learning. The platform will focus on the knowledge of statistics you need for your machine learning projects. 

  • Data Visualization

    Data Visualization is the presentation of data in graphical format. It helps people understand the significance of data.

  • Traditional Modeling

    Traditional models are widely used in the applied space. You'll learn how to use gradient boosters on structured data.

  • Deep Learning

    Deep learning models excel at image recognition, speech recognition and natural langue processing.

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Sample Lesson

The AI Hierarchy

The Data Analyst

The Certified Data Analyst Path

Data is the new oil. Many of the top careers on earth are data centric. However, attaining an entry level role is often difficult. I'm going to show you the shortest path to attaining a career as a data analyst by becoming a Microsoft Certified Data Analyst Associate. You'll take two courses, and pass one certification. After that, it's on to interviewing for a data analyst role.
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Real-World Deep Learning Case Studies

Dropping Out Layers

The Google Certified Data Engineer

The Complete Guide to Preparing for and Passing the Google Certified Data Engineering Exam.

Everything you need in order to learn data engineering on Google's Cloud Platform now available on LogikBot.


This is the best hands-on online class I have ever taken


I’ve modeled my journey after his recommendations

John Thomas

Mike West is one of those people, who will add significant value to your life if you let him. I’ve modeled my journey after his recommendations, predictions and knowledge and it helped me allocate time in the right places.

You are an amazing teacher.


I took a few of your courses and you are an amazing teacher. Your courses have brought me up to speed on how to create databases and how to interact and handle Data Engineers and Data Scientists. I will be forever grateful.

You've changed my perception about Data Science.


By taking this course my perception has changed and now data science for me is more about data wrangling. Thank you, Mike

Thank you so much.

Gurukiran A

I really thank you for your efforts in making these videos. I will now move on to Pandas. I am also looking out for jobs in order to start my career in this exciting field.

Very informative.


This course was very informative. Taught me about the open source models on which Machine Learning can be practiced. Kudos to the author. Great Job!!!

I loved the course format.


I loved the short format of the course. While that is a great thing there are some area which could have been a little longer. Overall, a very good course.

Loved the examples.


The hands on examples made learning very easy. I learned a lot about Python and Machine Learning at the same time. I would totally recommend for beginners.

Mike's Experience Works Everywhere


John actually said what i wanted to say, what i might add is Mike's experience works everywhere and not just US. I live in India and most of things he states important are actually important in real life jobs. It's because of his answers/blogs that now i have started focusing more on EDA and SQL.


  • How long will it take to become a machine learning engineer?

    That depends on your experience and knowledge. If you are in a career working with SQL then you are ahead of the game. If not, then a 4-6 year time line from scratch is common.

  • What is your refund policy?

    There are no refunds once the membership starts; however, you are free to end your membership at any time.

  • Are all the courses included in the monthly fee?

    Yes. You'll have immediate access to the entire library from day one. This includes all the course for machine learning, data engineering and data analysis.

  • Is there lesson overlap between this platform and Udemy?

    Yes. Some of the courses are the same. The overlap will be minimal and all of the advanced courses will reside on this platform.

  • Will you define a curriculum for us?

    Yes. I'll walk you through the courses you need to take and in what order I recommend you take them.

  • Can I take the classes out of order?

    Sure. However, I don't recommend it. The skills and knowledge build from previous courses.

  • I only want to take one course. Do I need to become a member?

    Yes. I'm confident you'll want to stay a member for a long time. However, you could become a member for a month or two, take the course you want and leave.

  • Will you continually add new content?

    Yes. I'll ask for your feedback throughout the curriculum to see what I areas you'd like me to expand upon.

Your Journey Starts Now

All for $20/month.