DeepSense

Author: Amit Baori

Part 3: Data Volume, Cleaning and Documentation

This it the final part of a three part series of how to build a dataset ofr machine learning.  Find the previous parts below: Part 1: https://deepsense.ca/2022/02/09/blog-building-your-own-dataset-for-machine-learning/  Part 2: https://deepsense.ca/2022/02/17/part-2-acquiring-external-data/ Watch Amit’s Discovery Session on how to build an image based dataset: https://www.youtube.com/watch?v=3TT4hySJVvA  ~~~~~~~ How much data is enough?  Web scrapping is actually quite fun and

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BLOG: Part 2: Acquiring external data

Find Part 1 of the blog series here: https://deepsense.ca/2022/02/09/blog-building-your-own-dataset-for-machine-learning/  Watch Amit’s Discovery Session on how to build an image based dataset: https://www.youtube.com/watch?v=3TT4hySJVvA  Here are a few of the most relevant libraries for web scrapping:  Requests: a python library for making http request such as GET, POST etc. It is much simpler and easy to use than

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BLOG: Part 2: Building your own dataset for machine learning

The following blog is Part 1 of a 3 Part Blog Series! Find Part 2 here: https://deepsense.ca/2022/02/17/part-2-acquiring-external-data/  Watch Amit’s Discovery Session on how to build an image based dataset: https://www.youtube.com/watch?v=3TT4hySJVvA  We live in the information age. It is said to be a period in human history characterized by a shift from industrial production to one based

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