Session - 2 | CRISP-ML - Part 2 | Data Science Using Python

This video on the “Data Science using Python” playlist will help you understand a complete overview of stages of analytics, CRISP ML (Q), and data preparation in “Data Science by using Python”. The “Data preparation” technique is an essential skill for any Data Scientist or Machine Learning Engineer. So, with a blended learning approach at end of the course, you can learn Python for data science along with concepts like Inferential statistics, understanding the data type, etc.

[kuroshavendano]

Thank you for this lesson! Looking forward for our session 3.

[nasamarun]

Nice Session Sir 👍
Thankyou sir ❤
CRISP-ML(Q) SESSION 2 ✅

[tirumanibalabhavani]

It's very useful. We appreciate you providing it to us.

[akshaykadam]

Such as a great experience sir thank you for sharing amazing knowledge with us.

[bachusravani]

Nice exaplanition sir with no.of examples In a short way of different types of

[jmmj]

thanks for imparting your knowledge and expertise the fact that you give a lot of industry examples

[ravinderbadishagandu]

thank you sir very well explanation i clearly understood what is nominal, ordinal,interval and ration data

[krishnavenivangala]

Thank u so much sharing your knowledge at free of cost Sir ...😊

[UnreheresedArt]

Great learning Thank you for sharing all your knowledge sir 😀

[Madhavkrishnan_]

Different types of analytics are explained in simple way. CRISP-ML phases are elaborated with practical real world examples.