Data Cleaning
2 Threads
A Typical Machine Learning Workflow 1. Problem formulation 2. Data collection 3. Data analysis 4. Data cleaning 5. Selecting and training a model 6. Evaluating a model 7. Improvin...
The 4 stages of a machine learning project lifecycle: 1. Project scoping 2. Data definition and preparation 3. Model training and error analysis 4. Deployment, monitoring, and mai...