Welcome to this course on classical machine learning for beginners! Whether you're completely new to this topic, or an experienced ML practitioner looking to brush up on an area, we're happy to have you join us for our machine learning online course starting at the 101 level!
In this video series you will learn all about classical machine learning, including topics such as linear regression and logistic regression. You will get hands on with code leveraging Jupyter Notebooks inside Visual Studio Code and see how to build and use Machine Learning models using tools like SciKit Learn, NumPy, Pandas and Matplotlib.
This course is based on the free, open source, 26 lesson ML For Beginners curriculum from Microsoft, which can be found at: https://aka.ms/ml-beginners
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Introduction to Machine Learning for Beginners [Part 1] | Machine Learning for Beginners
?????? Welcome to the first lesson of our Machine Learning for Beginners course, presented by Bea Stollnitz, a Principal…
1
The history of Machine Learning [Part 2] | Machine Learning for Beginners
?????? Dive into the fascinating history of machine learning and artificial intelligence in Lesson 2 of our Machine Lear…
2
Techniques for Machine Learning [Part 3] | Machine Learning for Beginners
?????? In Lesson 3 of our Machine Learning for Beginners course, Bea Stollnitz, a Principal Cloud Advocate at Microsoft,…
3
Setup your tools ready to build Machine Learning models [Part 4] | Machine Learning for Beginners
?????? Welcome to Lesson 4 of our Machine Learning for Beginners course, presented by Bea Stollnitz, a Principal Cloud A…
4
Introduction to Regression models for Machine Learning [Part 5] | Machine Learning for Beginners
?????? Welcome to the next episode of our Machine Learning for Beginners course, presented by Bea Stollnitz, a Principal…
5
Set up Jupyter Notebooks to start building regression models [Pt 6] | Machine Learning for Beginners
??????? In this tutorial, we'll walk you through the process of setting up a Jupyter notebook using a virtual environmen…
6
Your First Linear Regression Project in Python [Part 7] | Machine Learning for Beginners
???? In this tutorial, presented by Bea Stollnitz, a Principal Cloud Advocate at Microsoft, we'll guide you through crea…
7
How to Analyze and Clean a Dataset [Part 8] | Machine Learning for Beginners
???? Welcome to this video, where Bea Stollnitz, a Principal Cloud Advocate at Microsoft, guides you through analyzing a…
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How to Visualize Data with Matplotlib [Part 9] | Machine Learning for Beginners
?? In this video, Bea Stollnitz, a Principal Cloud Advocate at Microsoft, guides you through visualizing data using the …
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Understanding Linear Regression [Part 10] | Machine Learning for Beginners
?? In this video, Bea Stollnitz, a Principal Cloud Advocate at Microsoft, helps you understand the concept of linear reg…
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Looking for Correlation: The Key to Linear Regression [Part 11] | Machine Learning for Beginners
?? In this video, Bea Stollnitz, a Principal Cloud Advocate at Microsoft, explains the concept of correlation and how it…
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Linear and Polynomial Regression using Scikit-learn [Part 12] | Machine Learning for Beginners
?? Join Bea Stollnitz, a Principal Cloud Advocate at Microsoft, as she explores linear and polynomial regression models …
12
Categorical Feature Predictions with Linear Regression [Part 13] | Machine Learning for Beginners
?? In this video, presented by Bea Stollnitz, a Principal Cloud Advocate at Microsoft, we'll dive into categorical featu…
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Understanding Logistic Regression for Machine Learning Classification [Part 14] | ML for Beginners
Welcome to another insightful video presented by Bea Stollnitz, a Principal Cloud Advocate at Microsoft. In this video, …
14
Data Analysis and Preparation for Logistic Regression [Part 15] | Machine Learning for Beginners
Join Bea Stollnitz, a Principal Cloud Advocate at Microsoft, as she demonstrates how to analyze and prepare data for bui…
15
Logistic Regression for classification of data [Part 16] | Machine Learning for Beginners
In this video, Bea Stollnitz, a Principal Cloud Advocate at Microsoft, guides you through training a logistic regression…
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Analyzing Logistic Regression Performance with ROC Curves [Part 17] | Machine Learning for Beginners
Join Bea Stollnitz, a Principal Cloud Advocate at Microsoft, as she teaches you how to analyze the performance of your l…
