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Python for Machine Learning & Data Science Masterclass

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Udemy Coupon Code for Python for Machine Learning & Data Science Masterclass Course. Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!

Created by Jose Portilla, Pierian Training | 44 hours on-demand video course

Python Course Overview

Python for Machine Learning & Data Science Masterclass

This is the most complete course online for learning about Python, Data Science, and Machine Learning. Join Jose Portilla’s over 3 million students to learn about the future today!

What is in the course?

Welcome to the most complete course on learning Data Science and Machine Learning on the internet! After teaching over 2 million students I’ve worked for over a year to put together what I believe to be the best way to go from zero to hero for data science and machine learning in Python!

This course is designed for the student who already knows some Python and is ready to dive deeper into using those Python skills for Data Science and Machine Learning. The typical starting salary for a data scientists can be over $150,000 dollars, and we’ve created this course to help guide students to learning a set of skills to make them extremely hirable in today’s workplace environment.

We’ll cover everything you need to know for the full data science and machine learning tech stack required at the world’s top companies. Our students have gotten jobs at McKinsey, Facebook, Amazon, Google, Apple, Asana, and other top tech companies! We’ve structured the course using our experience teaching both online and in-person to deliver a clear and structured approach that will guide you through understanding not just how to use data science and machine learning libraries, but why we use them. This course is balanced between practical real world case studies and mathematical theory behind the machine learning algorithms.

We cover advanced machine learning algorithms that most other courses don’t! Including advanced regularization methods and state of the art unsupervised learning methods, such as DBSCAN.

What you’ll learn

  • 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.
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Neural Networks in Python from Scratch: Complete guide

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Deep Learning Prerequisites: Logistic Regression in Python

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Data science, machine learning, and artificial intelligence in Python for students and professionals
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Python for Machine Learning & Data Science Masterclass Course Reviews

Everything You Need to Know About Python for Machine Learning & Data Science Masterclass

This course offers a comprehensive and well-structured introduction to Python. Jose Portilla, the instructor, brings a wealth of expertise in Development, making this course both informative and engaging.

The course structure is easy to follow. Each section, for example, covers a different aspect of Python for Machine Learning & Data Science Course, ensuring a logical progression through the material. It includes video lectures, readings, and hands-on exercises, which make complex concepts accessible and practical.

Moreover, The Instructors explains each topic clearly and concisely. He supports the lessons with plenty of examples and exercises, which help students grasp the material effectively.

What I appreciated most about this course is its practical focus. For instance, the instructor emphasizes teaching skills and knowledge that are directly applicable to real-world scenarios. Additionally, students gain access to helpful resources such as templates, checklists, and cheat sheets.

Another standout feature is the platform itself. Udemy offers flexibility, allowing students to learn at their own pace and access course materials from anywhere with an internet connection. Furthermore, the multiple payment options make it easy for students to choose a plan that suits their budget.

In addition, the course community is highly active, with forums where students can ask questions and engage with peers. The instructor, consequently, is very responsive and addresses student inquiries and feedback promptly.

Overall, I highly recommend the Python for Machine Learning & Data Science Masterclass to anyone looking to learn Python This well-organized and practical course equips you with the skills and knowledge you need to succeed in this field.

Python for Machine Learning & Data Science Masterclass Course Rated

9.6Expert Score
Python for Machine Learning & Data Science Masterclass

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

44 hours on-demand video
9.6
4 coding exercises
9.6
6 articles
9.6
33 downloadable resources
9.6
Access on mobile and TV
9.6
Certificate of completion
9.6

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