Descripción del Curso

Feature engineering is the most important aspect of machine learning. You know that every day you put off learning the process, you are hurting your model’s performance. Studies repeatedly prove that feature engineering can be much more powerful than the choice of algorithms. Yet the field of feature engineering can seem overwhelming and confusing.

This course offers you the single best solution. In this course, all of the recommendations have been extensively tested and proven on real-world problems. You’ll find everything included: the recommendations, the code, the data sources, and the rationale. You’ll get an over-the-shoulder, step-by-step approach for every situation, and each segment can stand alone, allowing you to jump immediately to the topics most important to you.

By the end of the course, you’ll have a clear, concise path to feature engineering and will enable you to get improved results by applying feature engineering techniques on your datasets.

About the Author

Sahiba Chopra is a Data Scientist with over 4 years of industry experience. She has built machine learning algorithms to solve a diverse range of problems like credit risk in micro-finance, power prediction for renewable energy plants and video recommendations. Sahiba has a strong background in Statistics. Sahiba is also passionate about contributing to the data science community - she blogs and is a Founder and Director of Women Who Code, Mumbai (a global non-profit organization dedicated to inspiring women to excel in technology careers).

Detalles del Curso
en
en
Packt Publishing
Ritmo propio
Intermedio
2 horas
Detalles del Curso
en
en
Packt Publishing
Ritmo propio
Intermedio
2 horas
Descripción del Curso

Feature engineering is the most important aspect of machine learning. You know that every day you put off learning the process, you are hurting your model’s performance. Studies repeatedly prove that feature engineering can be much more powerful than the choice of algorithms. Yet the field of feature engineering can seem overwhelming and confusing.

This course offers you the single best solution. In this course, all of the recommendations have been extensively tested and proven on real-world problems. You’ll find everything included: the recommendations, the code, the data sources, and the rationale. You’ll get an over-the-shoulder, step-by-step approach for every situation, and each segment can stand alone, allowing you to jump immediately to the topics most important to you.

By the end of the course, you’ll have a clear, concise path to feature engineering and will enable you to get improved results by applying feature engineering techniques on your datasets.

About the Author

Sahiba Chopra is a Data Scientist with over 4 years of industry experience. She has built machine learning algorithms to solve a diverse range of problems like credit risk in micro-finance, power prediction for renewable energy plants and video recommendations. Sahiba has a strong background in Statistics. Sahiba is also passionate about contributing to the data science community - she blogs and is a Founder and Director of Women Who Code, Mumbai (a global non-profit organization dedicated to inspiring women to excel in technology careers).