Precision, Recall, Confusion Matrix and F1-Score - Machine Learning Tutorials in Hindi
Offered By: CodeWithHarry via YouTube
Course Description
Overview
Explore key performance metrics in machine learning through this 40-minute Hindi tutorial video. Learn about precision, recall, confusion matrices, and F1-scores using Python. Access accompanying source code, data, and Jupyter notebooks to enhance your understanding of these crucial evaluation techniques for classification models. Gain practical insights into assessing and improving the accuracy of your machine learning algorithms.
Syllabus
Precision, Recall, Confusion matrix & F1-Score | Machine Learning Tutorials Using Python In Hindi
Taught by
CodeWithHarry
Related Courses
Macroeconometric ForecastingInternational Monetary Fund via edX Machine Learning With Big Data
University of California, San Diego via Coursera Data Science at Scale - Capstone Project
University of Washington via Coursera Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)
The Chinese University of Hong Kong via Coursera Data Science in Action - Building a Predictive Churn Model
SAP Learning