March 2019
Intermediate to advanced
5h 32m
English
Closed Captioning available in English
Overview
In this 5-hour course, you will gain a comprehensive understanding of key machine learning algorithms used for clustering, classification, and regression. Structured into 7 days of lessons and practical exercises, this course will guide you step-by-step in mastering machine learning with a focus on actionable skills.
What I will be able to do after this course
- Comprehend the principles and usage of seven essential machine learning algorithms.
- Learn how to choose the right algorithm for specific tasks like classification, clustering, or regression.
- Develop practical implementations of machine learning models using Python.
- Master the application of algorithms to solve real-world data problems efficiently.
- Gain confidence in building your own machine learning solutions for business cases.
Course Instructor(s)
Shovon Sengupta is an experienced data scientist and educator with a focus on teaching practical and accessible machine learning. With a background in applied data analysis, Shovon blends technical expertise with an engaging teaching style, making complex topics digestible for learners of all levels. Shovon is passionate about empowering students to harness the power of machine learning and data science effectively.
Who is it for?
This course is designed for aspiring data scientists and developers familiar with Python and basic statistics. Learners currently implementing a few algorithms and wishing to expand their capabilities will find it beneficial. Additionally, professionals aiming to strengthen their abilities in machine learning will find this course valuable.
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