Data Analysis with Python - A Complete Guide!: 4-in-1, Gain an in-depth understanding of data analysis to start your journey to become a Data Science practitioner using Python
Created by Packt Publishing
What you'll learn
- Explore hands-on data analysis and machine learning by coding in Python.
- Implement Machine Learning algorithms and delve into various machine learning techniques, and their advantages and disadvantages.
- Learn how to build predictive models and understand the principles of Predictive Analytics.
- Extract useful information from websites using Selenium in Python.
- Program and employ a Scrapy spider for successful web scraping.
- Understand exploratory data analysis, summarizing data, and creating statistics out of data with Pandas.
- Work with regression, classification, clustering, supervised and unsupervised machine learning, and much more!
- Learn about the most important libraries for doing Data Science with Python and how they can be easily installed with the Anaconda distribution.
- Understand the basics of Numpy which is the foundation of all the other analytical tools in Python.
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