Hands-on Machine Learning with Scikit-learn and TensorFlow 2
Get to grips with TensorFlow 2.0 and scikit-learn
3.75 (10 reviews)
152
students
10.5 hours
content
Jul 2020
last update
$49.99
regular price
What you will learn
Fundamentals of machine learning (and introducing the benefits of scikit-learn)
Practical implementation with comprehensive examples of canonical machine learning, and supervised and unsupervised machine learning in scikit-learn
How to identify a problem, select the right model, and optimize it to get the best desired outcome: insights into data
TensorFlow 2.0 for deep learning with neural networks
Deep learning and image-classification examples, and time series predictive model examples
Reinforcement learning, and how to implement various types with examples
Effectively use scikit-learn and TensorFlow in your production system, including framing a task in each task example
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Related Topics
3288112
udemy ID
7/1/2020
course created date
7/6/2020
course indexed date
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