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How To Prepare Data For Machine Learning|Data Science Tutorial
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#DataPreparationForMachineLearning #DataScience #MachineLearning #UnfoldDataScience #DataScienceTutorial, #ML
How To Prepare Data For Machine Learning|Data Science Tutorial
Hi,
My name is Aman and I am a Data Scientist.
About this video:
In this video, I have explained about how to prepare data for machine learning. This video is very important for someone who has started learning data science or someone who is looking for a machine learning career.
Data preparation is key step in Data Science project life-cycle and it becomes extremely important to get right data so that machine learning model gives intended results.
This video answers below questions specifically:
1. How to prepare data for machine learning?
2. What is the use case for data science?
3. What is level of data creation for machine learning?
3. What is hypothesis of the data creation for machine learning?
4.What is key performance indicator(KPI) for of data creation for machine learning?
5.How to create data for machine learning in different business cases?
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.
Join Facebook group :
Follow on twitter : @unfoldds
Follow on Instagram : unfolddatascience
How To Prepare Data For Machine Learning|Data Science Tutorial
Hi,
My name is Aman and I am a Data Scientist.
About this video:
In this video, I have explained about how to prepare data for machine learning. This video is very important for someone who has started learning data science or someone who is looking for a machine learning career.
Data preparation is key step in Data Science project life-cycle and it becomes extremely important to get right data so that machine learning model gives intended results.
This video answers below questions specifically:
1. How to prepare data for machine learning?
2. What is the use case for data science?
3. What is level of data creation for machine learning?
3. What is hypothesis of the data creation for machine learning?
4.What is key performance indicator(KPI) for of data creation for machine learning?
5.How to create data for machine learning in different business cases?
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.
Join Facebook group :
Follow on twitter : @unfoldds
Follow on Instagram : unfolddatascience
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