Titlebook: Machine Learning with PySpark; With Natural Languag Pramod Singh Book 20191st edition Pramod Singh 2019 Machine Learning.PySpark.Python.Sup

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Evolution of Data,, the data was generated or accumulated by workers, so only the employees of companies entered the data into systems and the data points were very limited, capturing only a few fields. Then came the internet, and information was made easily accessible to everyone using it. Now, users had the power t

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Linear Regression,es, but Linear Regression is one of the most fundamental machine learning algorithms. This chapter focuses on building a Linear Regression model with PySpark and dives deep into the workings of an LR model. It will cover various assumptions to be considered before using LR along with different evalu

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Recommender Systems,ith online retail platforms, there are zillions of different products available, and we have to navigate ourselves to find the right product. The situation is that users have too many options and choices available, yet they don’t like to invest a lot of time going through the entire catalogue of ite

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Clustering,t features. Unsupervised Learning is different in a sense that there is no labeled data, and we don’t try to predict any output as such; instead we try to find interesting patterns and come up with groups within the data. The similar values are grouped together

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