10.1 Model's Underfitting and Overfitting
This is a data science project practice book. It was initially written for my Big Data course to help students to run a quick data analytical project and to understand 1. the data analytical process, the typical tasks and the methods, techniques and the algorithms need to accomplish these tasks. During convid19, the unicersity has adopted on-line teaching. So the students can not access to the university labs and HPC facilities. Gaining an experience of doing a data science project becomes individual students self-learning in isolation. This book aimed to help them to read through it and follow instructions to complete the sample propject by themslef. However, it is required by many other students who want to know about data analytics, machine learning and particularly practical issues, to gain experience and confidence of doing data analysis. So it is aimed for beginners and have no much knowledge of data Science. the format for this book is bookdown::gitbook.
Underfitting vs. Overfitting — scikit-learn 1.4.1 documentation
Symmetry, Free Full-Text
10.3 Multiple Models Comparison Do A Data Science Project in 10 Days
Overfitting and Underfitting in Machine Learning + [Example]
Supervised Learning
Chapter 6 Data Analysis Do A Data Science Project in 10 Days
Overfitting and Underfitting ( BUG IN ML MODELS )
6.2 Process of Predcitive Data Analysis
Summary Do A Data Science Project in 10 Days
4.2 Assess Data Quantity Do A Data Science Project in 10 Days
Overfitting and underfitting in machine learning
The Complete Guide on Overfitting and Underfitting in Machine Learning