Therefore, we complete the table with sales for the year 2018 based on the seasonal equations above.
We visualize the predicted data on the graph:
- Preface
- Classification Using K Nearest Neighbors
- Naive Bayes
- Decision Trees
- Random Forest
- Clustering into K Clusters
- Regression
- Time Series Analysis
- Statistics
- R Reference
- Python Reference
- Glossary of Algorithms and Methods in Data Science
Conclusion
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