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Neural Network Projects with Python

You're reading from  Neural Network Projects with Python

Product type Book
Published in Feb 2019
Publisher Packt
ISBN-13 9781789138900
Pages 308 pages
Edition 1st Edition
Languages
Concepts
Author (1):
James Loy James Loy
Profile icon James Loy
LinkedIn
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.
See other products by James Loy

Table of Contents (10) Chapters

Preface Machine Learning and Neural Networks 101 Predicting Diabetes with Multilayer Perceptrons Predicting Taxi Fares with Deep Feedforward Networks Cats Versus Dogs - Image Classification Using CNNs Removing Noise from Images Using Autoencoders Sentiment Analysis of Movie Reviews Using LSTM Implementing a Facial Recognition System with Neural Networks What's Next? Other Books You May Enjoy

Questions

  1. When reading a CSV file using pandas, how does pandas recognize that certain columns are datetime?

We can use the parse_dates argument when reading the CSV file using the read_csv function in pandas.

  1. How can we filter a DataFrame to only select rows within a certain range of values, assuming that we have a DataFrame, df, and we want to select rows with height values within the range of 160 and 180?

We can filter a DataFrame like so:

df = df[(df['height'] >= 160) & (df['height'] <= 180)]

This returns a new DataFrame with range of height values between 160 and 180.

  1. How can we use code modularization to organize our neural network projects?

We can compartmentalize our functions using modular pieces of code. For example, in this project, we defined a preprocess and feature_engineer function in utils.py, which allows us to focus on...

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Authors (1)

Profile icon James Loy
LinkedIn
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
See other products by James Loy

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