Table of Contents

Introduction to AutoML

Introduction to Machine Learning Using Python

Data Preprocessing

Automated Algorithm Selection

Hyperparameter Optimization

Creating AutoML pipelines

Dive into Deep Learning

Critical Aspects of ML and Data Science Projects

About the Author

Sibanjan Das is a Business Analytics and Data Science consultant. He has extensive experience in implementing predictive analytics solutions in Business Systems and IoT. An enthusiastic and passionate professional about technology and innovation, he has the passion for wrangling with data since early days of his career. Sibanjan holds a Masters IT degree with major in Business Analytics from Singapore Management University and holds several industry certifications such as OCA, OCP and CSCMS. Umit Mert Cakmak is a Data Scientist at IBM, where he excels at helping clients to solve complex data science problems, from inception to delivery of deployable assets. His research spans across multiple disciplines beyond his industry and he likes sharing his insights at conferences, universities and meet-ups.

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