Machine Learning Tutorial - Parameter Tuning with Python and scikit-learn
Learn how you can easily use parameter tuning to tune your machine learning models and increase the performance of your predictions. We will use python and libraries like pandas for dataframes and scikit-learn. You can use those techniques for many different machine learning models and even for neural networks and deep learning.
The model we will be using in this video is again the model from the Video about sentiment analysis (text mining).. but slightly changed…. so if you haven’t watched the video yet…now would be a good time to go for it!
About the channel____________________
TL;DR
Awesome Data science without much math!
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Hello I'm Jo the “Coding Maniac”!
On my channel I will show you how to make awesome things with Data Science. Further I will present you some short Videos covering the basic fundamentals about Machine Learning and Data Science like Feature Tuning, Over/Undersampling, Overfitting, ... with Python.
All videos will be simple to follow and I'll try to reduce the complicated mathematical stuff to a minimum because I believe that you don't need to know how a CPU works to be able to operate a PC...
GitHub: https://github.com/coding-maniacs
Equipment ____________________
Camera: http://amzn.to/2hkVs5X
Camera lens: http://amzn.to/2fCEU9z
Audio-Recorder: http://amzn.to/2jNu2KJ
Microphone: http://amzn.to/2hloKBG
Light: http://amzn.to/2w8J92N
More videos ____________________
More videos in german: • Evaluation von machine learning Klassifizi... , • Sentiment Analyse mit Python Scikit/Pandas
Subscribe "Coding Maniac": / @johannesfrey
More videos on "Coding Maniac": / @johannesfrey
Social Media____________________
►Facebook: / codingmaniac