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You're reading from  Neural Network Projects with Python

Product typeBook
Published inFeb 2019
Reading LevelBeginner
PublisherPackt
ISBN-139781789138900
Edition1st Edition
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Author (1)
James Loy
James Loy
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James Loy

James Loy has more than five years, expert experience in data science in the finance and healthcare industries. He has worked with the largest bank in Singapore to drive innovation and improve customer loyalty through predictive analytics. He has also experience in the healthcare sector, where he applied data analytics to improve decision-making in hospitals. He has a master's degree in computer science from Georgia Tech, with a specialization in machine learning. His research interest includes deep learning and applied machine learning, as well as developing computer-vision-based AI agents for automation in industry. He writes on Towards Data Science, a popular machine learning website with more than 3 million views per month.
Read more about James Loy

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Questions

  1. How do we plot a histogram of each variable in a pandas DataFrame, and why are histograms useful?

We can plot a histogram by calling the df.hist() function built into a pandas DataFrame class. A histogram provides an accurate representation of the distribution of our numerical data.

  1. How do we check for missing values (NaN values) in a pandas DataFrame?

We can call the df.isnull().any() function to easily check whether there are any null values in each column of the dataset.

  1. Besides NaN values, what other kinds of missing values could appear in a dataset?

Missing values can also appear in the form of 0 values. Missing values are often recorded as 0 in a dataset due to certain issues during data collection—perhaps the equipment was faulty, or there are other issues hindering data collection.

  1. Why is it crucial to remove missing values in a dataset before...
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Neural Network Projects with Python
Published in: Feb 2019Publisher: PacktISBN-13: 9781789138900

Author (1)

author image
James Loy

James Loy has more than five years, expert experience in data science in the finance and healthcare industries. He has worked with the largest bank in Singapore to drive innovation and improve customer loyalty through predictive analytics. He has also experience in the healthcare sector, where he applied data analytics to improve decision-making in hospitals. He has a master's degree in computer science from Georgia Tech, with a specialization in machine learning. His research interest includes deep learning and applied machine learning, as well as developing computer-vision-based AI agents for automation in industry. He writes on Towards Data Science, a popular machine learning website with more than 3 million views per month.
Read more about James Loy