a guide to a advancing machine learning skills through competition and processes model deployment.

1. Beyond Building
Machine Learning
Models
Mustapha Abdullahi Jimoh
mustious@gmail.com
Day 5 - DSN AI Invasion Zaria

2. Content
• Competitive Machine Learning
• Deploying ML models
• Use case: deploying “Titanic” survival prediction model
using streamlit

3. Content
• Competitive Machine Learning
• Deploying ML models
• Use case: deploying “Titanic” survival prediction model
using streamlit

4. “whoever strives shall succeed”

5. Benefits of Competitive ML
According to Jeremy Howard…
• Meritocracy
• Role Models
• Push Limits
• Innovation
• Communities

6. Benefits of Competitive ML
• Knowledge
• Prize Money

7. Popular Competitive ML Platforms

8. Introduction to Kaggle: Registration

9. Introduction to Kaggle: Registration

10. Introduction to Kaggle: Registration

11. Introduction to Kaggle

12. Kaggle: competitions

13. Kaggle: join competition

14. Kaggle: download data
Data

15. Kaggle: save model prediction

16. Kaggle: save model prediction

17. Kaggle: submit predictions

18. Kaggle: upload predictions

19. Kaggle: submission complete

20. Kaggle: leaderboard

21. Content
• Competitive Machine Learning
• Deploying ML models
• Use case: deploying “Titanic” survival prediction model using
streamlit

22. Why Deploy Models?
• Extract real value from ML model
• Create a platform for simplified predictions

23. Why Deploy Models?
Data Scientist Doctor
Hey Doc! I built a model for cancer prediction
Awesome, how can I use it?
Install anaconda, open my notebook then run cell 21
Put your input in a numpy array
Then run cell 75 to get your prediction
Sigh… this might take me another 7
years to master

24. Deploying Models

25. Model Deployment with Streamlit
• No HTML/CSS required
• Deploy application instantly

26. Model Deployment with Streamlit

27. THANK YOU

28. References
• Brownlee, J. (2014, August 22). 5 Benefits of Competitive Machine
Learning. Retrieved from: https://machinelearningmastery.com/5-
benefits-of-competitive-machine-learning/
• International alternatives to Kaggle for Data Science/ML
competitions. Retrieved from: kdnuggets.com/2020/09/international-
alternatives-kaggle-data-science-competitions.html
• Pramod, S. (2021). Deploy Machine Learning Models to Production.
New York, NY: Apress.
• Streamlit. Retrieved from: https://streamlit.io/