Data Science – (Visualisation and Machine Learning) | Data Science Online Course by Udemy

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Data Visualisation and Machine Learning

An excellent training about Data Science

Data Science – (Visualisation and Machine Learning)

This course can be split into two main sections. The first section involves the basics of visualizing your data, where we would firstly be going through a crash course on python. After which we would be exploring libraries such as numpy and pandas as well as the plotting and visualisation libraries of Matplotlib and Seaborn. At the end of this first section you should be comfortable getting quick information for your data, pre-processing it slightly to remove any unwanted column or rows, and plotting all kinds of plots (scatter, bar, heatmap etc) to visualise your data better. The second section involves Machine learning, where we would firstly learn how to use the sklearn library with its various machine learning algorithms such as Decision Trees, Linear Regression, KNN and more. After which we will learn how to manipulate and scale your data to put it into forms that is readable by the ML algorithm. Lastly we will look at creating neural networks using the tensorflow library.

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