Priyanka's Post

How would you solve? "Misspelling in your Categorical Data". . They leads a data loss and outliers when you try to Label Encode or One Hot Encode them. . Comment your technique. . Check back tomorrow we'll share the unusual techniques answered by our Data Scientist across all our social media platforms . #keras #DSGupshup #machinelearning #datasciencebootcamp #datascience #datavisualization #dschallenge #bangalore #mumbai #kolkata #delhi

• #dschallenge
• #DSGupshup
• #datasciencebootcamp
• #machinelearning
• #mumbai
• #datascience
• #kolkata
• #bangalore
• #datavisualization
• #keras

• 21 11
• 2.7K Followers
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• 24 Average Likes
• 0.92% Eng. Rate

This post was published on 13th July, 2020 by Priyanka on her Instagram handle "@ml.india (Data Science & ML Mentors)". Priyanka has total 2.7K followers on Instagram and has a total of 65 post.This post has received 21 Likes which are lower than the average likes that Priyanka gets. Priyanka receives an average engagement rate of 0.92% per post on Instagram. This post has received 11 comments which are greater than the average comments that Priyanka gets. Overall the engagement rate for this post was lower than the average for the profile. #dschallenge #DSGupshup #datasciencebootcamp #machinelearning #mumbai #datascience #kolkata #bangalore #datavisualization #keras has been used frequently in this Post.