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Showing posts with the label machine

Netflix Consumption Analysis

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 Netflix probably has become your go-to application when bored in this quarantine. So it's not surprising that it picked up nearly 16 million global subscribers during the first three months of the year, helping cement its status as one of the world's most essential services in times of isolation or crisis. As of April 2020, Netflix had over 193 million paid subscriptions worldwide, including 73 million in the United States It is available worldwide except  China, DPRK (North Korea), Crimea.  So let's do some analysis on Netflix Following is the content distribution of  Netflix. ( shown in the form of a pie chart ) Next up let's compare the two powerhouses against each other i.e USA and India. As you can see the number of movies and tv shows added by the USA is constantly increasing whereas in India there's a slight decline in the addition of movies and the number of tv shows has remained constant. Viewing Time vs Hours per daily The entire world is streaming more t...

Machine Learning Algorithms Explained -By Saurabh

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Welcome back on our  journey to learn the basics of Machine learning.Before having a hands on on real time data I thought making you all familiar with various types of machine learning algorithms.Let as now breakdown the classification of Machine Learning.  Let us go through each type one by one. 1. Supervised Learning :  Imagine you are a student in a class.Teacher trains you by giving you  knowledge about a subject. Supervised learning is like learning from a teacher  here the machine is you(student) and the teacher is the training data(the data   we  discussed in the previous blog, one stored in the excel file).Training data   will be used to train the   model. Supervised Learning is further divided into two types:-   Regression Classification Regression includes a scenario where machine is trained to predict some value like price ,height and weight other example will be  predict stock market prices etc.Algorithms which ca...