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This course includes
- 1h 10m of video
- 17 lessons
- Level: Beginner
- Spoken in English
- Your place is remembered
- Free in full, no card
Lessons
2 sections · 17 lessons · 1h 10m total length
Lessons 1 to 1010 lessons · 40m
- Introduction to Machine Learning for Beginners [Part 1] | Machine Learning for Beginners3m
- The history of Machine Learning [Part 2] | Machine Learning for Beginners5m
- Techniques for Machine Learning [Part 3] | Machine Learning for Beginners4m
- Setup your tools ready to build Machine Learning models [Part 4] | Machine Learning for Beginners4m
- Introduction to Regression models for Machine Learning [Part 5] | Machine Learning for Beginners3m
- Set up Jupyter Notebooks to start building regression models [Pt 6] | Machine Learning for Beginners5m
- Your First Linear Regression Project in Python [Part 7] | Machine Learning for Beginners4m
- How to Analyze and Clean a Dataset [Part 8] | Machine Learning for Beginners4m
- How to Visualize Data with Matplotlib [Part 9] | Machine Learning for Beginners4m
- Understanding Linear Regression [Part 10] | Machine Learning for Beginners3m
Lessons 11 to 177 lessons · 30m
- Looking for Correlation: The Key to Linear Regression [Part 11] | Machine Learning for Beginners4m
- Linear and Polynomial Regression using Scikit-learn [Part 12] | Machine Learning for Beginners5m
- Categorical Feature Predictions with Linear Regression [Part 13] | Machine Learning for Beginners4m
- Understanding Logistic Regression for Machine Learning Classification [Part 14] | ML for Beginners3m
- Data Analysis and Preparation for Logistic Regression [Part 15] | Machine Learning for Beginners5m
- Logistic Regression for classification of data [Part 16] | Machine Learning for Beginners5m
- Analyzing Logistic Regression Performance with ROC Curves [Part 17] | Machine Learning for Beginners5m
What you need
- No prior experience: this course starts from zero.
Description
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
Who this course is for
- Anyone starting Machine learning from nothing.
Those two are our reading of the course's level. The description is the author's own.