code2.python (@Code2Python) trên Piclur: Lifecycle of a Data Science Project→ Defining the Problem Statement→ Data Collection→ Data Cleaning→ Feature Engineering→ Feature Selection→ Data Preparation(Train, Validation &amp; Test Split)→ Model Building &amp; Evaluation→ Deployment→ Model Monitoring &amp; Retraining / Piclur

code2.python

3 thg 8, 2022

Lifecycle of a Data Science Project → Defining the Problem Statement → Data Collection → Data Cleaning → Feature Engineering → Feature Selection → Data Preparation(Train, Validation & Test Split) → Model Building & Evaluation → Deployment → Model Monitoring & Retraining

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