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Machine Learning (ML) is basically that field of computer science with the help of which computer systems can provide sense to data in much the same way as human beings do. In simple words, ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method. The key focus of ML is to allow computer systems to learn from experience without being explicitly programmed or human intervention.

After completing this Machine Learning Certification Training using Python, you should be able to:

  • In-depth knowledge of of Python

  • In-depth knowledge of Data Science

  • In-depth knowledge of Machine Learning

  • Work with real-time data

  • Learn data visualization

  • Learn tools and techniques for predictive modeling

  • Discuss Machine Learning algorithms and their implementation

  • Gain expertise to handle business in future, living the present

  • Basic Linear Algebra - Having a good knowledge of linear algebra would be very helpful.  For the beginning topics of ML like regression analysis, etc; knowing the basics of Linear Algebra would suffice. But as one goes on to more deeper in ML, a bit more knowledge of LA would be required.

  • Programming Experience - Prior  programming experience would be very useful. People mostly program in Python, Java and R. But Python and R clearly stand out to be the leaders in the recent days.  Learning Python is very easy and shouldn't take more than two months to get through with the basics.

  • Statistics and Probability - ML is all about Stats and Probability. So, having a prior knowledge in that area would come very handy. One need to be pretty good in identifying distributions and deal with them.

  • Having a solid Math background is very important for any starter in ML or AI. Don't panic if you don't have one, both of us are in the same league. Just take the online math courses at Coursera, Udacity and Khan Academy; they would be sufficient.

Lab Setup:-

Computer with the following software

Operating System: Red Hat Linux / Ubuntu/CentOS/ Windows ( Latest Version preferable )

Anaconda python 3.7 ( Latest Version preferable )

Python 3.7 version *

Set Up Python Path Environment on OS ( During Installation ). [ Shortest Path ]

Internet Access will be needed to install python third party library


Hardware :

RAM: Minimum 4GB / 8GB ( Recommended ).

Internet Connectivity. ( Needed to Install Packages and Run Anaconda Server ).

80 GB HDD.

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