Machine Learning Pipeline Theory (based on a Colab notebook): Scikit-learn library
-Get or collect data
-Data pre-processing (cleaning, normalization, standardization, dimensionality reduction)
-Feature extraction and selection (with Deep Learning?)
-Model selection (development, grid search tuning)
-Model evaluation (K-fold, confusion matrix, …)
ABOUT THE INSTRUCTOR:
Luca is Ph.D. student at the Department of Computer Science of the University of Milan. His interests are Machine Learning, Data Analysis, IoT, Mobile Programming, and Indoor Positioning. His research currently focuses on Pervasive Computing, Context-awareness, Explainable AI, and Human Activity Recognition in smart environments.
ABOUT MARKTECHPOST:
Marktechpost, LLC. is a California-based Artificial Intelligence News Platform. Marktechpost’s key focus is spreading AI Awareness across the globe. Started in 2019, Marktechpost has focused on building a bridge for the general public to walk through and learn about different applications of artificial intelligence. Markechpost.com has more than 200,000+ views per month and 34,000 Facebook group members.
Checkout our free 12+ hour course 'Mathematics For Machine Learning' prepared by Fabio (Data Scientist): marktechpost.com/mathematics-for-machine-learning-course-free/
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