Learning Data Mining with Python teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK. (Limited-time offer)
Table of Contents
- Getting Started with Data Mining
- Classifying with scikit-learn Estimators
- Predicting Sports Winners with Decision Trees
- Recommending Movies Using Affinity Analysis
- Features and scikit-learn Transformers
- Social Media Insight using Naive Bayes
- Follow Recommendations Using Graph Mining
- Beating CAPTCHAs with Neural Networks
- Authorship Attribution
- Clustering News Articles
- Object Detection in Images using Deep Neural Networks
- Working with Big Data
Download Free PDF / Read Online
Author(s): Robert Layton
Publisher: Packt Publishing
Published: April 2017
Format(s): Online
File size: –
Number of pages: 358
Download / View Link(s): This offer has ended.
Free as of 01/19/2023.
Publisher: Packt Publishing
Published: April 2017
Format(s): Online
File size: –
Number of pages: 358
Download / View Link(s): This offer has ended.
Free as of 01/19/2023.