Day 27 of 30 days of Data Analytics with Projects Series — Performance Metrics

Pic credits : DS Stack Exchange

Welcome back peep. Hope all’s well. This is Day 27 of 30 days of data analytics where we will be covering Performance Metrics.

1. Confusion Matrix
2. F1 Score
3. Recall
4. Precision
5. Type I error
6. Type II error
7. Accuracy
8. ROC Curve
9. AUC score

What’s covered in 30 days of Data Analytics Series till now —

Day 1 : Data Analytics basics and kickstart of Data analytics with projects series

Day 2: Business Understanding — Data Driven Decision Making, Descriptive Analysis, Predictive Analysis, Diagnostic Analysis, Prescriptive Analysis

Day 3 : Data Analytics Ecosystem — Data Life Cycle, Data Analysis complete process ( most important things)

Day 4 : Probability, Conditional Probability, Binomial Distribution, Probability Density Function, Sampling Distribution

Day 5 : Statistics

Day 6 : Basic and Advanced SQL

Day 7 : Data Collection, Data Cleaning and Python