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    Jose Portilla, Pierian Training
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    Jose Portilla, Pierian Training's Python for Machine Learning & Data Science Masterclass Course Review

    Community Insights

    Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!

    Learning Format Online Course
    Subcategory Python

    Course Price $59.99

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    Based on: 0 Reviews

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    About Jose Portilla, Pierian Training

    Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!

    Who Is Jose Portilla, Pierian Training?

    No bio available.

    Industry

    Development

    Total Students

    74,644 students

    Official Website

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    Experience

    Course Language

    English

    Social Channels

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    What Do You Learn in Jose Portilla, Pierian Training's Course?

    You will learn how to use data science and machine learning with Python.
    You will create data pipeline workflows to analyze, visualize, and gain insights from data.
    You will build a portfolio of data science projects with real world data.
    You will be able to analyze your own data sets and gain insights through data science.
    Master critical data science skills.
    Understand Machine Learning from top to bottom.
    Replicate real-world situations and data reports.
    Learn NumPy for numerical processing with Python.
    Conduct feature engineering on real world case studies.
    Learn Pandas for data manipulation with Python.
    Create supervised machine learning algorithms to predict classes.
    Learn Matplotlib to create fully customized data visualizations with Python.
    Create regression machine learning algorithms for predicting continuous values.
    Learn Seaborn to create beautiful statistical plots with Python.
    Construct a modern portfolio of data science and machine learning resume projects.
    Learn how to use Scikit-learn to apply powerful machine learning algorithms.
    Get set-up quickly with the Anaconda data science stack environment.
    Learn best practices for real-world data sets.
    Understand the full product workflow for the machine learning lifecycle.
    Explore how to deploy your machine learning models as interactive APIs.

    What's Included in This Course?

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