Applied Machine Learning with Python
Applied Machine Learning with Python
This course is part of Mastering AI: Neural Nets, Vision System, Speech Recognition Specialization
Instructor: Edureka
Access provided by Yenepoya University
Intermediate level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Explore machine learning algorithms, including supervised, unsupervised, and semi-supervised methods.
Apply decision trees, random forests, and K-means clustering for classification and clustering.
Develop machine learning models to gain insights and make predictions from real-world data.
Enhance model accuracy by applying model-boosting techniques and evaluating their effectiveness.
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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This course is part of the Mastering AI: Neural Nets, Vision System, Speech Recognition Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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