#MachineLearning #DataScienceCourse #DataScienceWithPython
About this video:
This is the second part of machine learning implementation series in python. In this video, i explain about different steps of model building process.
The key questions answered here are:
What is feature engineering?
How to do feature engineering in python
How to train model in python?
How to test model in python?
How to understand prediction values in python?
About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.
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Watch Introduction to Data Science full playlist here :
Watch python for data science playlist here:
Watch statistics and mathematics playlist here :
Have question for me? Ask me here : Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.
Join Facebook group :
Follow on medium :
Follow on quora:
Follow on twitter : @unfoldds
Get connected on LinkedIn :
Follow on Instagram : unfolddatascience
Watch Introduction to Data Science full playlist here :
Watch python for data science playlist here:
Watch statistics and mathematics playlist here :
Have question for me? Ask me here :
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