This is a script to consume Azure Machine Learning Model which you build using Azure ML Studio. So basically this is a Request-Response Service (RRS) according to Microsoft. This was a Boosted Decision Tree Algorithm build with Census Adult Data which is available as one of the Sample DataSet in Azure ML. You can adapt the
This is a quick download of the Microsoft Azure Machine Learning Cheat Sheet. Having them handy can help save you a lot of time and it will help newbies and even experience Data Scientist and Analysts to choose the best algorithm for their dataset First, is Microsoftml Package Algorithm Cheat Sheet This cheat sheet
When someone applies for Credit, it will be unfair to reject those who duly qualify and it might be detrimental to the company to wrongly accept the wrong people. This is likely to happen if we try to make such decisions based on gut feelings. So how do we use Machine Learning to increase our
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
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
Overview My research work deals with Ghana, a country from the Gapminder dataset as has already been discussed from the beginning and progression through this course I conducted a k-means cluster analysis to find out the underlying sets of the population of Ghana based on their similarity of responses on 22 variables that represent characteristics
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