How I would learn Machine Learning (if I could start over)
2.5
Youtube408,012 learners
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This course is perfect for anyone looking to learn Machine Learning from scratch. In this video, the instructor provides a step-by-step process on how to learn Machine Learning, along with all the recommended resources. With the provided link, users can access all the courses and get a free token for the AssemblyAI Speech-To-Text API. This course is ideal for anyone who wants to start learning Machine Learning from the ground up.
Learn Data Science and Machine Learning on Microsoft Azure
3.0
Udemy2,400 learners
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Learn how to use Microsoft Azure to become a data science and machine learning expert. With Power BI, Power Query, and Python, you can create visualisations, clean data, and create advanced charts and analyses. Plus, use Azure cloud for Text Analytics and create machine learning instances for computer vision. Take your data science and machine learning skills to the next level with Microsoft Azure.
Machine Learning for Everyone
2.5
Datacamp90,100 learners
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Discover the power of SQL with "Machine Learning for Everyone." Dive into a captivating case study of an online movie rental company, exploring a database filled with customer information, movie ratings, actor backgrounds, and more. Unlock the ability to make data-driven decisions as you learn to harness the potential of SQL queries. Investigate customer preferences, analyze customer engagement, and uncover sales development opportunities. Gain an edge with SQL extensions for online analytical processing (OLAP), simplifying the extraction of crucial insights from multidimensional aggregated data. Take your data analysis skills to new heights and equip yourself with the tools to thrive in the world of machine learning.
Machine Learning: Classification
5.0
Coursera10,230 learners
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This course will teach you the fundamentals of machine learning classification. You will learn how to create models that predict a class (positive/negative sentiment, loan default risk) from input features (text of reviews, financial data). You will become familiar with logistic regression, decision trees, boosting, and stochastic gradient ascent. You will also learn how to handle missing data and evaluate models using precision-recall metrics. All of this will be done in Python. Enroll now and start your journey into the world of machine learning classification!
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