Mahsulot tavsifi
Mirzo Ulug‘bek nomidagi O‘zbekiston Milliy Universiteti Jizzax filialidagi Amaliy matematika fakulteti “Axborot tizimlari va texnologiyalari” kafedrasi talabalari uchun “Sun’iy intellekt va neyronto’rli texnologiyalar” fanidan 2-amaliy ish. Ish Google Colab muhitida bajarilgan va unga havola taqdim etilgan. Ushbu amaliy ishda bitta dataframe tanlanib uning ustida turli tahlillar olib borilgan. Jumladan ushbu modelda quyidagilar amalga oshirilgan. Logistik regressiya Qaror daraxti XGBoost K-NN Murojat uchun telegram: @kamoliddin_9001
#sklearn.metrics#matplotlib.pyplot#decision tree#hyperparameters#jaccard index#confusion matrix#precision, recall, f1 va accuracy#grid search#pandas#qaror daraxti#numpy#logistic regression#logistik regressiya#k-nn#matplotlib#seaborn#amaliy ish#xgboost#machine learning#google colab#sun’iy intellekt#axborot tizimlari#cross-validation#neyron to‘rlar#sklearn.tree#sklearn.model_selection
Muallif
Kamoliddin KomilovTasdiqlangan muallif
- Hujjatlari
- 39
- Sotilgan
- 13
