Machine Learning - Parameter Tuning

In this Video I will show you how you can easily tune the crap out of your model… using python and scikit-learn. 

The model we will be using in this video is again the model from the Video about sentiment analysis.. but slightly changed…. so if you haven’t watched the video yet…now would be a good time to go for it!

I will explain a few things about this model in this video so that you should be able to follow along… but I won’t go into detail… for that… watch my other video.

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Overfitting and how to avoid it
An overfitted model in machine learning and data science is a really bad thing.. so you should really make sure that your model is healthy. This video will explain what overfitting is and how to get rid of it.
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Evaluation of classification models

Deutsche Version: Evaluation von Klassifizierungsmodellen

This video shows 5 measures to check the performance of your machine learning classification model.

Code: https://github.com/coding-maniac/classification_evaluation

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Teaser Image for sentiment analysis part 1

Deutsche Version: Sentiment Analyse mit Python

This Video shows how to implement a basic sentiment analysis with python.
Sentiment analysis is a machine learining algorithm to analyse the mood of something.
In this Video we will use it to predict whether a review is positive or negative.
Code: https://github.com/coding-maniac/sent...

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Teaser Image for Introduction video

Deutsche Version: Introduction - Worum geht es hier eigentlich?

This is just a short Video to introduce myself und to tell you what will be going on on this site. I hope you guys enjoy the videos and will get some new ideas out of them.

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