July 2019
Beginner to intermediate
5h 13m
English
Overview
In this 5 hr course, you will gain foundational skills in machine learning by exploring topics like linear regression, logistic regression, and cluster analysis using Python. You'll become proficient in using libraries like StatsModels and sklearn to perform practical data analysis and solve real-world problems.
What I will be able to do after this course
- Master the use of StatsModels and sklearn libraries for machine learning tasks.
- Perform linear regression to analyze relationships between variables.
- Implement logistic regression for binary classification problems.
- Apply clustering techniques for exploratory data analysis.
- Enhance analysis capabilities by practicing on real-world business cases.
Course Instructor(s)
This course is presented by 365 Careers Ltd., a leading provider of educational content in the field of data science. With extensive experience in both technical instruction and practical application, the instructor ensures that complex topics are made accessible and engaging, backed by clear explanations and coding exercises.
Who is it for?
This course is ideal for beginners in data science or machine learning who want to grasp the basics and gain the confidence to advance further. It's designed for individuals interested in enhancing their analytical skills or solving practical data problems using Python and popular machine learning libraries. The lessons require basic knowledge of programming, making it a perfect start for aspiring data scientists. Take this course if you aim to build a strong foundation in machine learning to support your professional development.
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