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README.md

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+---
+license: mit
+language:
+  - tr
+  - en
+tags:
+  - sklearn
+  - tensorflow
+  - keras
+  - random-forest
+  - cnn
+  - clustering
+  - nlp
+  - computer-vision
+  - recommendation-system
+  - time-series
+  - streamlit
+pipeline_tag: tabular-classification
+---
+
+# DataScientst -- 30 Proje, 34 Egitilmis Model
+
+10 farkli kategoride toplam 30 ML/AI projesinin egitilmis modelleri. Tum modeller Kaggle veri setleriyle egitilmistir.
+
+## Kategoriler ve Modeller
+
+### Regresyon (3 model)
+| Model | Dosya | Metrik |
+|-------|-------|--------|
+| Altin Fiyati Tahmini | `gold_model.pkl` | R² = 0.990 |
+| Ogrenci Sinav Puani | `student_model.pkl` | R² = 0.849 |
+| Uber/Taksi Ucret | `uber_model.pkl` | R² = 0.778 |
+
+### Siniflandirma (3 model)
+| Model | Dosya | Metrik |
+|-------|-------|--------|
+| Mobil Fiyat Segmenti | `mobile_model.pkl` | Accuracy = 81.2% |
+| Sarap Kalitesi | `wine_model.pkl` | Accuracy = 67.5% |
+| Musteri Terki (Churn) | `churn_model.pkl` | Accuracy = 78.9% |
+
+### Kumeleme (3 model)
+| Model | Dosya | Metrik |
+|-------|-------|--------|
+| NBA Oyuncu Gruplama | `nba_model.pkl` + `nba_scaler.pkl` | Silhouette = 0.452 |
+| Kredi Karti Segmentasyon | `cc_model.pkl` + `cc_scaler.pkl` | Silhouette = 0.531 |
+| Spotify Sarki Kumeleme | `spotify_model.pkl` + `spotify_scaler.pkl` | Silhouette = 0.327 |
+
+### Bilgisayarli Goru (1 model)
+| Model | Dosya | Metrik |
+|-------|-------|--------|
+| Maske Tespiti | `mask_model.pkl` | Accuracy = 82.5% |
+
+### Dogal Dil Isleme (3 model)
+| Model | Dosya | Metrik |
+|-------|-------|--------|
+| SMS Spam Tespiti | `spam_model.pkl` + `spam_vectorizer.pkl` | Accuracy = 98.0% |
+| IMDb Duygu Analizi | `imdb_model.pkl` + `imdb_vectorizer.pkl` | Accuracy = 87.3% |
+| Sahte Haber Tespiti | `news_model.pkl` + `news_vectorizer.pkl` | Accuracy = 97.6% |
+
+### Oneri Sistemleri (3 set)
+| Model | Dosyalar |
+|-------|----------|
+| Film Onerisi | `movie_data.pkl` + `movie_similarity.pkl` |
+| Kitap Onerisi | `book_data.pkl` + `book_similarity.pkl` |
+| Sarki Onerisi | `song_data.pkl` + `song_similarity.pkl` |
+
+### Zaman Serileri (3 model)
+| Model | Dosya | Metrik |
+|-------|-------|--------|
+| Hisse Senedi (AAPL) | `stock_model.pkl` | R² = 0.975 |
+| Hava Durumu | `weather_model.pkl` | R² = 0.912 |
+| Magaza Satisi | `walmart_model.pkl` | R² = 0.767 |
+
+### Derin Ogrenme (2 model)
+| Model | Dosya | Metrik |
+|-------|-------|--------|
+| Zaturre Teshisi (CNN) | `pneumonia_model.keras` | Val Acc = 92.5% |
+| Yuz Duygu Tanima (CNN) | `fer_model.keras` | Val Acc = 65.4% |
+
+### Diger
+| Model | Dosya |
+|-------|-------|
+| Metin Uretim (Markov) | `text_robot_model.pkl` |
+
+## Kullanim
+
+```python
+from huggingface_hub import hf_hub_download
+import joblib
+
+# Modeli indir
+model_path = hf_hub_download(
+    repo_id="OKTAYBBS/DataScientst-models",
+    filename="gold_model.pkl"
+)
+
+# Yukle ve kullan
+model = joblib.load(model_path)
+prediction = model.predict([[1500, 70, 20, 1.1]])
+```
+
+```python
+# Keras modeli icin
+import tensorflow as tf
+
+model_path = hf_hub_download(
+    repo_id="OKTAYBBS/DataScientst-models",
+    filename="pneumonia_model.keras"
+)
+model = tf.keras.models.load_model(model_path)
+```
+
+## Teknolojiler
+
+- **ML Framework:** scikit-learn 1.6.1
+- **DL Framework:** TensorFlow / Keras
+- **Veri Kaynaklari:** Kaggle Hub API
+- **Arayuz:** Streamlit
+
+## Linkler
+
+- **Canli Demo:** [HF Space](https://huggingface.co/spaces/OKTAYBBS/DataScientst)
+- **Kaynak Kod:** [GitHub](https://github.com/oktaybobus/DataScientst)