Journey into Machine Learning with Sklearn and Tensorflow
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About this course
Build practical machine learning skills with scikit-learn and TensorFlow, from data preparation and feature engineering to neural networks and model optimization.
What you'll learn
- practical skills in machine learning with scikit-learn
- data preparation techniques
- feature engineering methods
- understanding of neural networks
- model optimization practices
Course objectives
- build a solid foundation in machine learning
- develop the ability to implement machine learning algorithms
- learn to tackle real-world data challenges
Skills you'll gain
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