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This is a presentation video to provide detailed information on the findings of Project Assignment which is due on 13th February 2021. I have prepared a notebook in such a way that one can browse through the codes and comments to understand the whole process. This project has following steps :

  1. A detailed exploratory data analysis with python for the given dataset. This includes :

    1. Data Exploration
    2. Data preparation.
  2. Manually implementing Logistic Regression, optimize Hyperparameters and we will also be using several visualization libraries to elaborate the process.

  3. Using Sklearn Library and several classification on a dataset. Here, we are going to use Logistic Regression at the beginning and then move on to other Classification models and see which one of those models are better suited for classifying our dataset.

Kategorien: HTW Berlin
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