Python Machine Learning Blueprints by Combs, Alexander -- Read -- Imperial Library of Trantor

Index

Title Page Copyright and Credits

Python Machine Learning Blueprints Second Edition

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About the authors About the reviewer Packt is searching for authors like you

Preface

Who this book is for What this book covers To get the most out of this book

Download the example code files Download the color images Conventions used

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The Python Machine Learning Ecosystem

Data science/machine learning workflow

Acquisition Inspection Preparation Modeling Evaluation Deployment

Python libraries and functions for each stage of the data science workflow

Acquisition Inspection

The Jupyter Notebook Pandas Visualization

The matplotlib library The seaborn library

Preparation

map apply applymap groupby

Modeling and evaluation

Statsmodels Scikit-learn

Deployment

Setting up your machine learning environment Summary

Build an App to Find Underpriced Apartments

Sourcing apartment listing data

Pulling down listing data Pulling out the individual data points Parsing data

Inspecting and preparing the data

Sneak-peek at the data types

Visualizing our data Visualizing the data Modeling the data

Forecasting

Extending the model Summary

Build an App to Find Cheap Airfares

Sourcing airfare pricing data Retrieving fare data with advanced web scraping

Creating a link

Parsing the DOM to extract pricing data

Parsing

Identifying outlier fares with anomaly detection techniques Sending real-time alerts using IFTTT Putting it all together Summary

Forecast the IPO Market Using Logistic Regression

The IPO market

What is an IPO? Recent IPO market performance Working on the DataFrame Analyzing the data Summarizing the performance of the stocks Baseline IPO strategy

Data cleansing and feature engineering

Adding features to influence the performance of an IPO

Binary classification with logistic regression

Creating the target for our model Dummy coding Examining the model performance

Generating the importance of a feature from our model

Random forest classifier method

Summary

Create a Custom Newsfeed

Creating a supervised training set with Pocket

Installing the Pocket Chrome Extension Using the Pocket API to retrieve stories

Using the Embedly API to download story bodies Basics of Natural Language Processing Support Vector Machines IFTTT integration with feeds, Google Sheets, and email

Setting up news feeds and Google Sheets through IFTTT

Setting up your daily personal newsletter Summary

Predict whether Your Content Will Go Viral

What does research tell us about virality? Sourcing shared counts and content Exploring the features of shareability

Exploring image data Clustering Exploring the headlines Exploring the story content

Building a predictive content scoring model

Evaluating the model Adding new features to our model

Summary

Use Machine Learning to Forecast the Stock Market

Types of market analysis What does research tell us about the stock market?

So, what exactly is a momentum strategy?

How to develop a trading strategy

Analysis of the data Volatility of the returns Daily returns Statistics for the strategies The mystery strategy

Building the regression model

Performance of the model Dynamic time warping Evaluating our trades

Summary

Classifying Images with Convolutional Neural Networks

Image-feature extraction Convolutional neural networks

Network topology Convolutional layers and filters Max pooling layers Flattening Fully-connected layers and output

Building a convolutional neural network to classify images in the Zalando Research dataset, using Keras Summary

Building a Chatbot

The Turing Test The history of chatbots The design of chatbots Building a chatbot Sequence-to-sequence modeling for chatbots Summary

Build a Recommendation Engine

Collaborative filtering

So, what's collaborative filtering? Predicting the rating for the product

Content-based filtering Hybrid systems

Collaborative filtering Content-based filtering

Building a recommendation engine Summary

What's Next?

Summary of the projects Summary

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