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README.md
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@@ -10,19 +10,20 @@ tags:
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- random-forest
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datasets:
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- college_student_placement_dataset
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---
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# Placement Season Prediction Model
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## Model Details
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**Model Name:** Placement Season Prediction
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**Model Type:** Random Forest Classifier
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**Framework:** scikit-learn
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**Language:** Python
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**Task:** Binary Classification
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**License:**
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**Author:** SkyLeopard
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This model predicts whether a college student will get placed based on academic and experiential features.
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import joblib
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import pandas as pd
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REPO_ID = "SkyLeopard/placement-season
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FILENAME = "
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model = joblib.load(
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cached_download(
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year = {2026},
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publisher = {Hugging Face}
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}
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```
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- random-forest
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datasets:
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- college_student_placement_dataset
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library_name: sklearn
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---
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# Placement Season Prediction Model
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## Model Details
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- **Model Name:** Placement Season Prediction
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- **Model Type:** Random Forest Classifier
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- **Framework:** scikit-learn
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- **Language:** Python
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- **Task:** Binary Classification
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- **License:** Apache 2.0
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- **Author:** SkyLeopard
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This model predicts whether a college student will get placed based on academic and experiential features.
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import joblib
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import pandas as pd
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REPO_ID = "SkyLeopard/placement-season"
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FILENAME = "rf-placement.pkl"
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model = joblib.load(
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cached_download(
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year = {2026},
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publisher = {Hugging Face}
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}
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```
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