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onehot-encoder

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Challenge 1: Agriculture Commodities, Prices & Seasons Aim: Your team is working on building a variety of insight packs to measure key trends in the Agriculture sector in India. You are presented with a data set around Agriculture and your aim is to understand trends in APMC (Agricultural produce market committee)/mandi price & quantity arrival …

  • Updated Mar 1, 2019
  • Jupyter Notebook

Value to Business :: Using this Regression model, the decision-makers will able to understand the properties of various products and stores which play an important and key role in optimizing the Marketing efforts and results in increased sales.

  • Updated Aug 8, 2020
  • Jupyter Notebook

This repository contains jupyter notebooks explaining the basics of TF and deep learning classification model using TF

tensorflow mnist-classification onehot-encoder jupyter-notebooks-explaining < 3A6E a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":802950,"originating_url":"https://github.com/topics/onehot-encoder","user_id":null}}" data-hydro-click-hmac="716dc729d83a4790d34fb46515fd63c8c5a9665c77623730ebb28eb35c689243" title="Topic: tensorflow-objects" href="/topics/tensorflow-objects" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">tensorflow-objects modeling-using-tensorflow
  • Updated Jun 11, 2018
  • Jupyter Notebook

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