machine learning

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Machine Learning Hypothesis function Cost function and Gradient Descent Algorithm Short Notes

  This is a short scrap notes from the Machine Learning Course taught by Associate Professor,  Andrew Ng,  Stanford University on Coursera.  hypothesis = hØ(x) + Øo + Ø1X Parameters = Øo , Ø1 Our Goal = minimise Ø0 , Ø1 that is the cost function J(Ø0, Ø1) GRADIENT Descent. An algorithm wich minimises the…

Natural Language Processing Machine Learning Algorithm Model Python – NLP
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Natural Language Processing Machine Learning Algorithm Model Python – NLP

In this guide, we take a look at Natural Language Processing, NLP in Python. Natural Language is a very extensive topic and very powerful machine learning algorithm you can build. This is very useful in many areas of most industries. Credits to Jose Portilla, creator of Learning Python for Data Analysis and Visualization course   on Udemy  …