Python Machine Learning Tutorial (Data Science)
Programming with Mosh
M achine learning is a subset of artificial intelligence or
artificial intelligence. This tutorial will teach you how
to build a model that can learn and predict the kind
of music people like. By the end of this one hour tutorial you
will have a good understanding of machine learning basics. You
do n't need any prior knowledge in machine learning but you
need to know python fairly well. Machine learning has other
applications in self-driving cars and robotics language
processing vision processing forecasting things like stock
market trends and the weather games and so on so that 's the
basic idea about machine learning next we 'll look at machine
learning in action a machine learning project involves a number
of steps the first step is to import our data which often comes
in the form of a csv file. We 're going to look at the popular
python libraries that we use in machine learning projects the
first one is numpy which provides a multi-dimensional array.
pandas is a data analysis library that provides a concept called
data frame. matplotlib is a two-dimensional plotting library for
creating graphs and plots. scikit-learn is one of the most
popular machine learning libraries that provides all these
common algorithms like neural networks and neural networks.
Programming with Mosh
M achine learning is a subset of artificial intelligence or
artificial intelligence. This tutorial will teach you how
to build a model that can learn and predict the kind
of music people like. By the end of this one hour tutorial you
will have a good understanding of machine learning basics. You
do n't need any prior knowledge in machine learning but you
need to know python fairly well. Machine learning has other
applications in self-driving cars and robotics language
processing vision processing forecasting things like stock
market trends and the weather games and so on so that 's the
basic idea about machine learning next we 'll look at machine
learning in action a machine learning project involves a number
of steps the first step is to import our data which often comes
in the form of a csv file. We 're going to look at the popular
python libraries that we use in machine learning projects the
first one is numpy which provides a multi-dimensional array.
pandas is a data analysis library that provides a concept called
data frame. matplotlib is a two-dimensional plotting library for
creating graphs and plots. scikit-learn is one of the most
popular machine learning libraries that provides all these
common algorithms like neural networks and neural networks.
