Machine Learning with NumPy, pandas, scikit-learn, and More
This course equips learners with practical data analysis and machine learning with pandas and other frameworks such as NumPy and TensorFlow.
Intermediate
87 Lessons
15h
Certificate of Completion
This course equips learners with practical data analysis and machine learning with pandas and other frameworks such as NumPy and TensorFlow.
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Course Overview
If you're a software engineer looking to add machine learning to your skillset, this is the place to start. This course will teach you to write useful code and create impactful machine learning applications immediately. From the start, you'll be given all the tools that you need to create industry-level machine learning projects. Rather than reading through dense theory, you’ll learn practical skills and gain actionable insights. Topics covered include data analysis/visualization, feature engineering, sup...Show More
Course Content
What you'll learn from this course
Data Manipulation with NumPy
Data Analysis with pandas
Data Preprocessing with scikit-learn
Data Modeling with scikit-learn
Clustering with scikit-learn
10 Lessons
Gradient Boosting with XGBoost
10 Lessons
Deep Learning with TensorFlow
12 Lessons
Deep Learning with Keras
7 Lessons
Course Author
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Part of the Machine Learning Path
Become a Machine Learning Engineer
12 Modules
Trusted by 1.4 million developers working at companies
Anthony Walker
@_webarchitect_
Evan Dunbar
ML Engineer
Carlos Matias La Borde
Software Developer
Souvik Kundu
Front-end Developer
Vinay Krishnaiah
Software Developer
Eric Downs
Musician/Entrepeneur
Kenan Eyvazov
DevOps Engineer
Souvik Kundu
Front-end Developer
Eric Downs
Musician/Entrepeneur
Anthony Walker
@_webarchitect_
Evan Dunbar
ML Engineer
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