Brief Introduction
Become an Advanced Machine Learning Specialist, Learn Preprocessing, Feature Engineering, Model Evaluation and SelectionDescription
If you’re a machine learning specialist looking to make the transaction into the real-world AI applications.
This comprehensive course will be your guide to learning how to scale-up your machine learning model to the optimal state possible, you 'll be learning everything you need to move you machine learning model to the next stage.
This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
You'll learn the machine learning, AI, and data mining techniques real employers are looking for, including:
Handling Missing Values
Label Encoder
One-Hot Encoder
Normalization
Standardization
Binarization
Principal Analysis Component (PCA)
Manual Feature Engineering
Automatic Feature Engineering
Feature Selection
Model Evaluation
Confusion Matrix
Precision and Recall
F1-score and Fbeta-score
Area Under Curve (AUC)
Overfitting vs Underfitting
Cross-Validation
Analyzing Learning Curves
Hyperparameters Tuning
Requirements
- Requirements
- Basic Understanding of Machine Learning
- Some Programming Experience
Usama Albaghdady
3.8 Raiting
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