Intern Email

Dear Intern

You are selected. It will be completely online mode of intern. No offline option.

Fill this form : https://forms.gle/NB4qUmgyMbabxrZu6
Join the wa group https://chat.whatsapp.com/DBznDhkYKt0JPP0YTrnp4S

Please dont call me. I will respond on the group only for queries.

As part of your intern you need to code the following ML/DL algo using
https://claude.ai/
Claude provides better code than other GPT for multi-class classification.
You may try other if u dont get on claude.

k fold = 2
Some algos you may not get, keep a note of it, and code others.
Make colab for the project.

Dataset: https://drive.google.com/file/d/1Hv1y0cSNWSJ80iCaWjl3TP7Vzvl0Rn2a/view?usp=sharing

Metrics (export to csv foldwise). Metrics will be cols. ML algos will be rows

Classification Metrics
1. Accuracy
2. Precision
3. Recall
4. F1 Score
5. True Positive Rate (TPR)
6. True Negative Rate (TNR)
7. False Positive Rate (FPR)
8. False Negative Rate (FNR)
9. Area Under the Curve (AUC)
10. Area Under the Precision-Recall Curve (AUC-PR)
11. Balanced Accuracy (BACC)
12. Matthews Correlation Coefficient (MCC)
13. Kappa Statistic
14. Cohen Kappa score
15. Positive Predictive Value (PPV)
16. Negative Predictive Value (NPV)

Error Metrics
1. Mean Squared Error (MSE)
2. Mean Absolute Error (MAE)
3. Root Mean Squared Error (RMSE)
4. Relative Absolute Error (RAE)
5. Log loss
6. Cross-Entropy Loss
7. Mean absolute error
8. Squared Prediction Error

Time and Efficiency Metrics
1. Training Time
2. Testing Time
3. Detection Time

For algos DM me on whatsapp.

deadline: 15 days from the receipt of this email.