Anthony So is a renowned leader in data science. He has extensive experience in solving complex business problems using advanced analytics and AI in different industries including financial services, media, and telecommunications. He is currently the chief data officer of one of the most innovative fintech start-ups. He is also the author of several best-selling books on data science, machine learning, and deep learning. He has won multiple prizes at several hackathon competitions, such as Unearthed, GovHack, and Pepper Money. Anthony holds two master's degrees, one in computer science and the other in data science and innovation. Thomas V. Joseph is a data science practitioner, researcher, trainer, mentor, and writer with more than 19 years of experience. He has extensive experience in solving business problems using machine learning toolsets across multiple industry segments. Robert Thas John is a data engineer with a career that spans two decades. He manages a team of data engineers, analysts, and machine learning engineers – roles that he has held in the past. He leads a number of efforts aimed at increasing the adoption of machine learning on embedded devices through various programs from Google Developers and ARM Ltd, which licenses the chips found in Arduinos and other microcontrollers.He started his career as a software engineer with work that has spanned various industries. His first experience with embedded systems was in programming payment terminals. Andrew David Worsley is an independent consultant and educator with expertise in the areas of machine learning, statistics, cloud computing, and artificial intelligence. He has practiced data science in several countries across a multitude of industries including retail, financial services, marketing, resources, and healthcare. Dr. Samuel Asare is a professional engineer with enthusiasm for Python programming, research, and writing. He is highly skilled in applying data science methods to the extraction of useful insights from large data sets. He possesses solid skills in project management processes. Samuel has previously held positions, in industry and academia, as a process engineer and a lecturer of materials science and engineering respectively. Presently, he is pursuing his passion for solving industry problems, using data science methods, and writing. https://www.linkedin.com/in/ivanliu1989/Programming Languages: Python, R, Google Cloud Contacted by Melwyn Dsouza on 14/05/22018Contacted for HTML5 and CSS3 on July 22, 2019 by Sneha Shindehttps://www.udemy.com/making-ionic-mobile-apps-with-ionic-creator/Barbora Stetinova works in an Automotive industry earned experience in data science and machine learning, leading small team, leading strategical projects and in controlling topics for 13 years. Since Sept 2018 she is a member of IT department participating on the Data science implementation in an automotive company.

• Table of ContentsIntroduction to Data Science in PythonRegressionBinary ClassificationMulticlass Classification with RandomForestPerforming Your First Cluster AnalysisHow to Assess PerformanceThe Generalization of Machine Learning ModelsHyperparameter TuningInterpreting a Machine Learning ModelAnalyzing a DatasetData PreparationFeature EngineeringImbalanced DatasetsDimensionality ReductionEnsemble LearningMachine Learning PipelinesAutomated Feature Engineering

Anthony So is a renowned leader in data science. He has extensive experience in solving complex business problems using advanced analytics and AI in different industries including financial services, media, and telecommunications. He is currently the chief data officer of one of the most innovative fintech start-ups. He is also the author of several best-selling books on data science, machine learning, and deep learning. He has won multiple prizes at several hackathon competitions, such as Unearthed, GovHack, and Pepper Money. Anthony holds two master's degrees, one in computer science and the other in data science and innovation. Thomas V. Joseph is a data science practitioner, researcher, trainer, mentor, and writer with more than 19 years of experience. He has extensive experience in solving business problems using machine learning toolsets across multiple industry segments. Robert Thas John is a data engineer with a career that spans two decades. He manages a team of data engineers, analysts, and machine learning engineers – roles that he has held in the past. He leads a number of efforts aimed at increasing the adoption of machine learning on embedded devices through various programs from Google Developers and ARM Ltd, which licenses the chips found in Arduinos and other microcontrollers.He started his career as a software engineer with work that has spanned various industries. His first experience with embedded systems was in programming payment terminals. Andrew David Worsley is an independent consultant and educator with expertise in the areas of machine learning, statistics, cloud computing, and artificial intelligence. He has practiced data science in several countries across a multitude of industries including retail, financial services, marketing, resources, and healthcare. Dr. Samuel Asare is a professional engineer with enthusiasm for Python programming, research, and writing. He is highly skilled in applying data science methods to the extraction of useful insights from large data sets. He possesses solid skills in project management processes. Samuel has previously held positions, in industry and academia, as a process engineer and a lecturer of materials science and engineering respectively. Presently, he is pursuing his passion for solving industry problems, using data science methods, and writing. https://www.linkedin.com/in/ivanliu1989/Programming Languages: Python, R, Google Cloud Contacted by Melwyn Dsouza on 14/05/22018Contacted for HTML5 and CSS3 on July 22, 2019 by Sneha Shindehttps://www.udemy.com/making-ionic-mobile-apps-with-ionic-creator/Barbora Stetinova works in an Automotive industry earned experience in data science and machine learning, leading small team, leading strategical projects and in controlling topics for 13 years. Since Sept 2018 she is a member of IT department participating on the Data science implementation in an automotive company.

• Table of ContentsIntroduction to Data Science in PythonRegressionBinary ClassificationMulticlass Classification with RandomForestPerforming Your First Cluster AnalysisHow to Assess PerformanceThe Generalization of Machine Learning ModelsHyperparameter TuningInterpreting a Machine Learning ModelAnalyzing a DatasetData PreparationFeature EngineeringImbalanced DatasetsDimensionality ReductionEnsemble LearningMachine Learning PipelinesAutomated Feature Engineering

Anthony So is a renowned leader in data science. He has extensive experience in solving complex business problems using advanced analytics and AI in different industries including financial services, media, and telecommunications. He is currently the chief data officer of one of the most innovative fintech start-ups. He is also the author of several best-selling books on data science, machine learning, and deep learning. He has won multiple prizes at several hackathon competitions, such as Unearthed, GovHack, and Pepper Money. Anthony holds two master's degrees, one in computer science and the other in data science and innovation. Thomas V. Joseph is a data science practitioner, researcher, trainer, mentor, and writer with more than 19 years of experience. He has extensive experience in solving business problems using machine learning toolsets across multiple industry segments. Robert Thas John is a data engineer with a career that spans two decades. He manages a team of data engineers, analysts, and machine learning engineers – roles that he has held in the past. He leads a number of efforts aimed at increasing the adoption of machine learning on embedded devices through various programs from Google Developers and ARM Ltd, which licenses the chips found in Arduinos and other microcontrollers.He started his career as a software engineer with work that has spanned various industries. His first experience with embedded systems was in programming payment terminals. Andrew David Worsley is an independent consultant and educator with expertise in the areas of machine learning, statistics, cloud computing, and artificial intelligence. He has practiced data science in several countries across a multitude of industries including retail, financial services, marketing, resources, and healthcare. Dr. Samuel Asare is a professional engineer with enthusiasm for Python programming, research, and writing. He is highly skilled in applying data science methods to the extraction of useful insights from large data sets. He possesses solid skills in project management processes. Samuel has previously held positions, in industry and academia, as a process engineer and a lecturer of materials science and engineering respectively. Presently, he is pursuing his passion for solving industry problems, using data science methods, and writing. https://www.linkedin.com/in/ivanliu1989/Programming Languages: Python, R, Google Cloud Contacted by Melwyn Dsouza on 14/05/22018Contacted for HTML5 and CSS3 on July 22, 2019 by Sneha Shindehttps://www.udemy.com/making-ionic-mobile-apps-with-ionic-creator/Barbora Stetinova works in an Automotive industry earned experience in data science and machine learning, leading small team, leading strategical projects and in controlling topics for 13 years. Since Sept 2018 she is a member of IT department participating on the Data science implementation in an automotive company.

• Table of ContentsIntroduction to Data Science in PythonRegressionBinary ClassificationMulticlass Classification with RandomForestPerforming Your First Cluster AnalysisHow to Assess PerformanceThe Generalization of Machine Learning ModelsHyperparameter TuningInterpreting a Machine Learning ModelAnalyzing a DatasetData PreparationFeature EngineeringImbalanced DatasetsDimensionality ReductionEnsemble LearningMachine Learning PipelinesAutomated Feature Engineering