Add model artifacts, plots, and README

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+correlations.png filter=lfs diff=lfs merge=lfs -text
+feature_breakdown.png filter=lfs diff=lfs merge=lfs -text
+model_comparison.png filter=lfs diff=lfs merge=lfs -text
+radar_chart.png filter=lfs diff=lfs merge=lfs -text
+shap_importance.png filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+language: en
+license: mit
+library_name: scikit-learn
+---
+
+# FAANG Predictor Tier-3 Model Bundle
+
+[![Hugging Face Model](https://img.shields.io/badge/HuggingFace-Model-yellow?logo=huggingface)](https://huggingface.co/ShiroOnigami23/faang-predictor-tier3-model)
+[![Dataset](https://img.shields.io/badge/Companion-Dataset-blue)](https://huggingface.co/datasets/ShiroOnigami23/faang-predictor-tier3-dataset)
+[![Space](https://img.shields.io/badge/Demo-Space-green)](https://huggingface.co/spaces/ShiroOnigami23/faang-predictor-tier3-workspace)
+
+## Prediction Summary
+```json
+{
+  "FAANG_Probability": 0.0516,
+  "Interview_Rounds_Pred": 1,
+  "Best_Classifier": "Logistic Regression",
+  "Classifier_AUC": 0.656,
+  "Best_Regressor": "XGB Regressor",
+  "Top_Gaps": [
+    "DSA \u2014 LeetCode Mediums",
+    "DSA \u2014 Hard Problems",
+    "Internship Quality",
+    "Mock Interviews",
+    "Project Portfolio",
+    "Open Source Contributions"
+  ],
+  "Overall_Prep_Score": 51.66
+}
+```

best_classifier.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:39046939db7dd5e450c31fa6edc779d31f2a0723fe530580a2443c800d47f9fb
+size 3307

best_regressor.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e23a31c3feb4694bba490ad205e9bcb7529f5cb0ca592ea4135b294dc2be73ee
+size 970664

metrics_table.csv

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+Metric,Value
+Train Accuracy,0.9448 (94.48%)
+Test Accuracy,0.9200 (92.00%)
+Validation Accuracy (5-fold CV),0.9273 ± 0.0025
+Validation ROC-AUC (5-fold CV),0.6296 ± 0.0394
+Test Precision,0.0000
+Test Recall,0.0000
+Test F1,0.0000
+Test ROC-AUC,0.6560

prediction_summary.json

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+{
+  "FAANG_Probability": 0.0516,
+  "Interview_Rounds_Pred": 1,
+  "Best_Classifier": "Logistic Regression",
+  "Classifier_AUC": 0.656,
+  "Best_Regressor": "XGB Regressor",
+  "Top_Gaps": [
+    "DSA \u2014 LeetCode Mediums",
+    "DSA \u2014 Hard Problems",
+    "Internship Quality",
+    "Mock Interviews",
+    "Project Portfolio",
+    "Open Source Contributions"
+  ],
+  "Overall_Prep_Score": 51.66
+}