#scikit-learn

Articles tagged with #scikit-learn

Intent Classification with TF-IDF + Logistic Regression
The previous two notes used TF-IDF to measure similarity between texts (FAQ search). This time the approach is different: TF-IDF is used as a feature to train a classifier that predicts the intent beh
Sep 6, 20264 min read
Klasifikasi Intent dengan TF-IDF + Logistic Regression
Dua catatan sebelumnya bahas TF-IDF untuk mengukur kemiripan teks (pencarian FAQ). Kali ini pendekatannya beda: TF-IDF dipakai sebagai fitur untuk melatih classifier yang memprediksi intent (niat) dar
Sep 6, 20264 min read
Text Vectorizer Explained: BoW, N-gram, TF-IDF, and Word Embedding
Computers can't read words the way humans do — everything has to be converted into numbers before a machine learning model can process it. That conversion is what's called a text vectorizer. In this n
Sep 6, 20266 min read4
Text Vectorizer: BoW, N-gram, TF-IDF, dan Word Embedding Dijelaskan
Komputer tidak bisa membaca kata seperti manusia — semuanya harus diubah jadi angka dulu sebelum bisa diproses model machine learning. Proses inilah yang disebut text vectorizer. Di catatan ini saya j
Sep 6, 20265 min read1
Hands-On: Unsupervised Learning — Clustering Iris Flowers with KMeans (Plus Follow-Up Experiments)
by Muhammad Ariel Shakaramiro In Part 1, I covered the theory behind Supervised vs Unsupervised Learning, and in Part 2 I put the supervised side into practice — training a model to recognize Iris spe
Sep 4, 202611 min read1
Praktik: Unsupervised Learning — Clustering Bunga Iris dengan KMeans (dan Eksperimen Lanjutan)
by Muhammad Ariel Shakaramiro Di Part 1 saya bahas teori Supervised vs Unsupervised Learning, dan di Part 2 saya praktikkan sisi supervised-nya — melatih model buat mengenali spesies Iris dari label y
Sep 4, 202610 min read3