Bu akış şu beş ana adımdan geçiyor: 1️⃣. Ham veriyi temizleyip ön-işleme (i.i.d. garantileme) ve EDA (PCA/SOM) 2️⃣. %80 eğitim / %20 test kırılımı 3️⃣. Eğitim setiyle SVM, KNN veya DL gibi algoritmalarla model eğitimi ve parametre optimizasyonu 4️⃣. Test setiyle tahmin yapma 5️⃣.…
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Great insights! Understanding the machine learning process is crucial for leveraging
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Algorithms dancing, data grooving. Success awaits.
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