Upload README.md with huggingface_hub
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README.md
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| Metin Uretim (Markov) | `text_robot_model.pkl` |
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## Kullanim
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```python
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from huggingface_hub import hf_hub_download
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import joblib
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#
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model_path = hf_hub_download(
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repo_id="OKTAYBBS/DataScientst-models",
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filename="gold_model.pkl"
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)
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# Yukle ve kullan
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model_path = hf_hub_download(
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repo_id="OKTAYBBS/DataScientst-models",
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filename="pneumonia_model.keras"
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)
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model = tf.keras.models.load_model(model_path)
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```
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|-------|-------|
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| Metin Uretim (Markov) | `text_robot_model.pkl` |
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## Repo Yapisi
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```
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regression/ -- Altin, Ogrenci, Uber tahmin modelleri
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classification/ -- Mobil, Sarap, Churn siniflandirma modelleri
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clustering/ -- NBA, Kredi Karti, Spotify kumeleme modelleri + scaler'lar
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computer_vision/ -- Maske tespiti modeli
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nlp/ -- Spam, IMDb, Sahte Haber modelleri + TF-IDF vectorizer'lar
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recommendation/ -- Film, Kitap, Sarki oneri verileri + similarity matrisleri
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time_series/ -- Hisse, Hava Durumu, Magaza tahmin modelleri
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data_viz/ -- Gorsellestirme CSV verileri
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deep_learning/ -- CNN modelleri (Keras) + Markov metin uretici
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metrics/ -- Tum modellerin performans metrikleri (JSON, CSV, PNG)
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```
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## Kullanim
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```python
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from huggingface_hub import hf_hub_download
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import joblib
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# Kategori klasorundan modeli indir
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model_path = hf_hub_download(
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repo_id="OKTAYBBS/DataScientst-models",
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filename="regression/gold_model.pkl"
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)
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# Yukle ve kullan
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model_path = hf_hub_download(
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repo_id="OKTAYBBS/DataScientst-models",
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filename="deep_learning/pneumonia_model.keras"
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)
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model = tf.keras.models.load_model(model_path)
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```
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