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drop(['DELAY_OR_NOT'], axis=1) y = df['DELAY_OR_NOT'] X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=111) # scale the data scaler = StandardScaler() X_train = scaler.fit_transform(X_train) X_test = scaler.transform(X_test)...
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£209From£111 New Delhi (DEL)Hong Kong (HKG) Sun, Dec 15 One way 44% OFF £209From£117 New Delhi (DEL)Hong Kong (HKG) Tue, Dec 10 One way 40% OFF £209From£126 New Delhi (DEL)Hong Kong (HKG) Sat, Dec 14 ...
[111]. To advance the object detection process to the next level, researchers have identified a few potential areas for future development. An item may be located from various vantage points and angles using a UAV. Nowadays, generative AI improves UAV object recognition by developing intricate ...
111Views 0likes 0Comments Fine-Tuning Small Language Models for Function-Calling: A Comprehensive Guide In the rapidly evolving landscape of artificial intelligence, fine-tuning small language models (SLMs) for use case specific workloads has become increasingly essential. The motivation behind this l...
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Building on similar reports we’ve done over the past two years, we have compiled a ranking of the top Internet properties of 2023.