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Machine Learning QuestionMachine Learning Question

2 min read
Posted on 
October 11th, 2022
Home Uncategorized Machine Learning QuestionMachine Learning Question

Step 1: Pick a dataset

• https://www.kaggle.com/datasets/andrewmvd/leukemia-
classification
• https://www.kaggle.com/datasets/felipekitamura/head-ct-
hemorrhage
Step 1: Pick a dataset

• https://www.kaggle.com/datasets/andrewmvd/leukemia-
classification
• https://www.kaggle.com/datasets/felipekitamura/head-ct-
hemorrhage
Step 1: Pick a dataset

• https://www.kaggle.com/datasets/andrewmvd/leukemia-
classification
• https://www.kaggle.com/datasets/felipekitamura/head-ct-
hemorrhage
• https://www.kaggle.com/datasets/kmader/eye-oct-dat…
• https://www.kaggle.com/datasets/tawsifurrahman/tuberculosis-tb-
chest-xray-dataset
Search other medical imaging classification datasetsRun different models

STEP 2

•Run different state-of-the-art models. (including different CNN)

• Run different modified models (you will modify the model)
• Innovate a feature engineering process to boost the results
• Show that your accuracy is above the state-of-the-art models
Deliverables:
Code and technical report 2000words with analysis, also a poster with workflow and results• https://www.kaggle.com/datasets/kmader/eye-oct-dat…
• https://www.kaggle.com/datasets/tawsifurrahman/tuberculosis-tb-
chest-xray-dataset
Search other medical imaging classification datasetsRun different models

STEP 2

•Run different state-of-the-art models. (including different CNN)

• Run different modified models (you will modify the model)
• Innovate a feature engineering process to boost the results
• Show that your accuracy is above the state-of-the-art models
Deliverables:
Code and technical report 2000words with analysis, also a poster with workflow and results
• https://www.kaggle.com/datasets/kmader/eye-oct-dat…
• https://www.kaggle.com/datasets/tawsifurrahman/tuberculosis-tb-
chest-xray-dataset
Search other medical imaging classification datasetsRun different models

STEP 2

•Run different state-of-the-art models. (including different CNN)

• Run different modified models (you will modify the model)
• Innovate a feature engineering process to boost the results
• Show that your accuracy is above the state-of-the-art models
Deliverables:
Code and technical report 2000words with analysis, also a poster with workflow and results

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