Python for Machine Learning & Data Science Masterclass
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- This product is available at Udemy.
- At udemy.com you can purchase Python for Machine Learning & Data Science Masterclass for only $129.99
- The lowest price of Python for Machine Learning & Data Science Masterclass was obtained on November 22, 2024 4:58 am.
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Python for Machine Learning & Data Science Masterclass
$129.99
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Python for Machine Learning & Data Science Masterclass
★★★★★
$129.99
in stock
Udemy.com
as of November 22, 2024 4:58 am
Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!
Created by:
Jose Portilla
Head of Data Science at Pierian Training
Head of Data Science at Pierian Training
Created by:
Pierian Training
Data Science and Machine Learning Training
Data Science and Machine Learning Training
Rating:4.69 (16440reviews)
115339students enrolled
What Will I Learn?
- 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.
Requirements
- Basic Python Knowledge (capable of functions)
Target audience
- Beginner Python developers curious about Machine Learning and Data Science with Python
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