MACHINE LEARNING INTERMEDIATE WITH PYTHON
This intermediate path will build on the lessons of the Machine Learning Introduction with Python to expand your machine learning skill set by working on a real project.
SKILL PATH: MACHINE LEARNING INTERMEDIATE WITH PYTHON
Here's what you'll learn to do.
- How to work with neural networks
- The basics of building a machine learning project
- How to build a machine learning model for your first Kaggle submission
- How to select the best algorithm and optimize your model
Course Structure: Machine Learning Intermediate with Python
Learn how neural networks are represented, how neural networks capture nonlinearity in the data, and how adding hidden layers can provide improved model performance.
It's not just what you learn,
but how you learn it.
Learn by writing and validating code,
not by watching videos.
Challenge yourself with dozens of
Revisit what you've learned anytime you need a refresher.
Join over 1 million data learners!
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I left datacamp for @dataquestio. 10x better I wish I had started Dataquest 2 years ago.
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It’s great! So many options; R, SQL, Python. And they take you on guided projects where you understand the reasoning behind the code and are able to apply it to future projects.
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If you want to get into a career in data, choose DQ. The education they offer would stretch you and prepare you for real life work.
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