Classification using ML

Study jam Machine Learning #2

Transcript

1. Classification using ML Hasanuddin University Study Jam
2. Hasanuddin University What is Machine Learning?
3. Oracle, https://www.oracle.com/ie/artificial-intelligence/machine-learning/what-is-machine-learning/ Hasanuddin University Machine learning (ML) is the subset of artificial intelligence (AI) that focuses on building systems that learn—or improve performance—based on the data they consume.
4. Types of Machine Learning
5. 1. Supervised Learning
6. 2. Unsupervised Learning
7. 3. Reinforcement Learning
8. 4. Deep Learning
9. Now, We are focused on Supervised Learning (Classification)
11. Clean & Explore the Data
12. FOR NOW Just Cleaning the Data
13. What we are doing when Cleaning the data
14. • Missing Data • Duplicated Data • Outliers in Data • Imbalanced Data KDNuggets, https://www.kdnuggets.com/2023/08/7-steps-mastering-data-cleaning-preprocessing-techniques.html
15. Missing Data Woody & Buzz see the future Hasanuddin University
16. Duplicated Data
17. Outliers Hasanuddin University Introvert
18. Imbalanced Data
19. Next Step : Transform the Data!! Hasanuddin University
20. • Encoding Categorical Data • Feature Scaling • Splitting Data
21. ‘changing raw data into a binary format that an algorithm can read and interpret. Encoding enables computers to process and transmit information that is not numerical-based’ Encoding Categorical Data edX, https://www.edx.org/learn/data-encoding#:~:text=Data%20encoding%20is%20changing%20raw,text%2C%20audio%2C%20and%20video.
22. Common Encoding Method Hasanuddin University - Label Encoding - One-Hot Encoding
23. Hasanuddin University Feature Scaling
24. Hasanuddin University Splitting Data Determine feature variables and target variables to enter the modeling process The data will be divided into two, namely training data and test data
25. Entering Training Model Process Hasanuddin University
26. FOCUSED ON Classification Task Hasanuddin University
27. Definition Classification is a supervised machine learning method where the model tries to predict the correct label of a given input data. In classification, the model is fully trained using the training data, and then it is evaluated on test data before being used to perform predictions on new unseen data. Datacamp, https://www.datacamp.com/blog/classification-machine-learning
28. Hasanuddin University - Logistic Regression - K-Nearest Neighbors - Decision Tree Medium, https://medium.com/@danushidk507/classification-algorithm-13caad1742da For more classification type, can check this source
29. Logistic Regression
30. K - Nearest Neighbor
31. Decision Tree
32. Why using scikit-learn? Bezt library for ML Task Hasanuddin University
33. Evaluation Metric Classification Task Hasanuddin University
34. Hasanuddin University - Accuracy - Precision - Recall - F1-Score Medium, https://medium.com/@danushidk507/classification-algorithm-13caad1742da
35. Implementation Hasanuddin University
36. That’s all about Machine Learning Any Question ??? Raise your hand 󰢨󰢧(you can ask a question bcz this is hard i understand that) Hasanuddin University
37. Phew! We’re done🥳 TIME TO QUIZ Hasanuddin University https://quizizz.com/join?gc= 596208
38. See you on next event 👋👋 Hasanuddin University