WebUsing NLP techniques to extract features from recipes' text, dimensionality reduction to distil the features, oversampling to balance the dataset, and hyperparameter tuning to identify the best hyperparameters, I developed an XGBoost classification model with an 18% higher recall value than the client's expectations. Web11 Aug 2024 · We can parallelize the multi-class logistic regression using one-vs-rest in sklearn. If you want for binary classification, use data parallelization, and accumulate gradients. It is a linear model, it cannot classify non-linear data. If you have non-linear data, do feature engineering and try to get linear data.

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Web19 Nov 2024 · Most text analysis and machine learning models use the bag of words embedding, which tokenizes our text into tokens, normalize tokens, count occurrences, … WebText Classification. โจทย์ส่วนใหญ่ของ NLP นั้นสามารถแก้ได้ด้วยการสร้างเครื่องจำแนกประเภทข้อความ (Text Classifier) ซึ่งมี machine learning algorithm เป็นแกนหลัก (สามารถศึกษาพื้นฐานของ ... sawtooth 200 bicycle ride

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