Machine Learning Tutorial - Parameter Tuning with Python and scikit-learn скачать в хорошем качестве

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! -- 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