Data Science Life Cycle

• https://www.analyticsvidhya.com/blog/2021/05/introduction-to-data-science-project-lifecycle/
• https://analyticsindiamag.com/a-complete-tour-of-data-science-project-life-cycle/
• https://www.datascience-pm.com/data-science-life-cycle/
• https://www.analytixlabs.co.in/blog/data-science-life-cycle/

Videos

• https://www.youtube.com/watch?v=4Cp6PkBKqX4
• https://www.youtube.com/watch?v=jkoOpXaD0H4

4.1  Understand Problem/Objective

https://www.kdnuggets.com/2016/12/poll-analytics-data-mining-data-science-applied-2016.html

4.2  Data Collection

4.3  Data Preparation

https://www.saedsayad.com/data_preparation.htm

4.3.1  Cleaning Data

4.3.2  EDA

4.3.3  Feature Engineering

4.3.4  Feature Selection

4.3.5  Train/Validation/Test Split

4.4  Modeling

https://www.saedsayad.com/modeling.htm

4.5  Evaluation

4.5.1  Classification

4.5.1.1  Confusion Matrix

4.5.1.2  Lift Chart

4.5.1.3  Gain Chart

4 .5.1.4  KS Statistic (Kolomogorov Smirnov)

4.5.1.5 AUC-ROC

4.5.1.6 F1 Score

4.5.1.7 Gini Coefficient

4.5.1.8 Log Loss

4.5.1.9  Concordant – Discordant ratio

4.5.2  Regression

4.5.2.1  RMSE

4.5.2.2  RSE

4.5.2.3  MAE

4.5.2.4  RAE

4.5.2.5  Coefficient of Determination (R2)

4.6 Model Deployment