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Clustering and Classification with Machine Learning in Python

You're reading from Clustering and Classification with Machine Learning in Python Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis

Product type Video

Published in Dec 2019

Publisher Packt

ISBN-13 9781839213632

Length 5hrs 50mins

Edition 1st Edition

Languages

Python

Tools

Anaconda

Concepts

Data Analysis

Author (1):

Minerva Singh

View More author details

Table of Contents (7) Chapters

1. INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools FREE CHAPTER

2. Read in Data from Different Sources with Pandas

3. Data Cleaning & Munging

4. Unsupervised Learning in Python

5. Dimension Reduction & Feature Selection for Machine Learning

6. Supervised Learning: Classification

7. Neural Networks and Deep Learning Based Classification Techniques

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Authors (1)

Minerva Singh

Minerva Singh

Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.

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