The phases of a Machine Learning project are:
1. Strategy: matching the problem with the solution
2. Dataset preparation and preprocessing
- Data collection
- Data visualization
- Labeling
- Data selection
- Data preprocessing – Data formatting, Data cleaning, Data anonymization, Data sampling
- Data transformation –Scaling, Decomposition, Aggregation
3. Dataset splitting – Training set, Test set, Validation set
4. Modeling
- Model training
- Model Evaluation and Testing
5. Model Deployment
If you want to learn and implement Machine learning projects, then check out this Machine Learning Online Course by Intellipaat which has experienced instructors, best curriculum, and projects.
Also, watch this video on Machine Learning project:
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