<p>Gain a thorough understanding of supervised learning algorithms by developing use cases with Python. You will study supervised learning concepts, Python code, datasets, best practices, resolution of common issues and pitfalls, and practical knowledge of implementing algorithms for structured as well as text and images datasets.</p>You'll start with an introduction to machine learning, highlight...

Chapter 1: Introduction to Supervised LearningChapter Goal: Start the journey of the readers on supervised learningNo of pages: 30-40Sub -Topics1.Machine learning and how is it different from software engineering?2.Discuss reasons for machine learning being popular3.Compare between supervised, semi-supervised and unsupervised algorithms4.Statistical methods to get significant variables5.The use ca...

Chapter 1: Introduction to Supervised LearningChapter Goal: Start the journey of the readers on supervised learningNo of pages: 30-40Sub -Topics1.Machine learning and how is it different from software engineering?2.Discuss reasons for machine learning being popular3.Compare between supervised, semi-supervised and unsupervised algorithms4.Statistical methods to get significant variables5.The use ca...

Gain a thorough understanding of supervised learning algorithms by developing use cases with Python. You will study supervised learning concepts, Python code, datasets, best practices, resolution of common issues and pitfalls, and practical knowledge of implementing algorithms for structured as well as text and images datasets.Youll start with an introduction to machine learning, highlighting the ...

Chapter 1: Introduction to Supervised LearningChapter Goal: Start the journey of the readers on supervised learningNo of pages: 30-40Sub -Topics1.Machine learning and how is it different from software engineering?2.Discuss reasons for machine learning being popular3.Compare between supervised, semi-supervised and unsupervised algorithms4.Statistical methods to get significant variables5.The use ca...

Gain a thorough understanding of supervised learning algorithms by developing use cases with Python. You will study supervised learning concepts, Python code, datasets, best practices, resolution of common issues and pitfalls, and practical knowledge of implementing algorithms for structured as well as text and images datasets.Youll start with an introduction to machine learning, highlighting the ...

Chapter 1: Introduction to Supervised LearningChapter Goal: Start the journey of the readers on supervised learningNo of pages: 30-40Sub -Topics1.Machine learning and how is it different from software engineering?2.Discuss reasons for machine learning being popular3.Compare between supervised, semi-supervised and unsupervised algorithms4.Statistical methods to get significant variables5.The use ca...

Chapter 1: Introduction to Supervised LearningChapter Goal: Start the journey of the readers on supervised learningNo of pages: 30-40Sub -Topics1.Machine learning and how is it different from software engineering?2.Discuss reasons for machine learning being popular3.Compare between supervised, semi-supervised and unsupervised algorithms4.Statistical methods to get significant variables5.The use ca...

Chapter 1: Introduction to Supervised LearningChapter Goal: Start the journey of the readers on supervised learningNo of pages: 30-40Sub -Topics1.Machine learning and how is it different from software engineering?2.Discuss reasons for machine learning being popular3.Compare between supervised, semi-supervised and unsupervised algorithms4.Statistical methods to get significant variables5.The use ca...

Chapter 1: Introduction to Supervised LearningChapter Goal: Start the journey of the readers on supervised learningNo of pages: 30-40Sub -Topics1.Machine learning and how is it different from software engineering?2.Discuss reasons for machine learning being popular3.Compare between supervised, semi-supervised and unsupervised algorithms4.Statistical methods to get significant variables5.The use ca...

Chapter 1: Introduction to Supervised LearningChapter Goal: Start the journey of the readers on supervised learningNo of pages: 30-40Sub -Topics1.Machine learning and how is it different from software engineering?2.Discuss reasons for machine learning being popular3.Compare between supervised, semi-supervised and unsupervised algorithms4.Statistical methods to get significant variables5.The use ca...

Chapter 1: Introduction to Supervised LearningChapter Goal: Start the journey of the readers on supervised learningNo of pages: 30-40Sub -Topics1.Machine learning and how is it different from software engineering?2.Discuss reasons for machine learning being popular3.Compare between supervised, semi-supervised and unsupervised algorithms4.Statistical methods to get significant variables5.The use ca...

Chapter 1: Introduction to Supervised LearningChapter Goal: Start the journey of the readers on supervised learningNo of pages: 30-40Sub -Topics1.Machine learning and how is it different from software engineering?2.Discuss reasons for machine learning being popular3.Compare between supervised, semi-supervised and unsupervised algorithms4.Statistical methods to get significant variables5.The use ca...

Chapter 1: Introduction to Supervised LearningChapter Goal: Start the journey of the readers on supervised learningNo of pages: 30-40Sub -Topics1.Machine learning and how is it different from software engineering?2.Discuss reasons for machine learning being popular3.Compare between supervised, semi-supervised and unsupervised algorithms4.Statistical methods to get significant variables5.The use ca...