madplotlib/__init__.py,sha256=kUR5RAFc7HCeiqdlX36dZOHkUI5wI6V_43RpEcD8b-0,22
madplotlib/__main__.py,sha256=s06R8vKn0Uw3zupHgaBBut7ajrWrDVtA7Q1WiDm8cvk,92
madplotlib/cli.py,sha256=TxA1sQYfazRcXCbV2MHSAF5_VR5wx0L8rbgGg3fXRE8,2432
madplotlib/templates/1_web_scraping.py,sha256=sfK0_Q9T-qokBahYmF3WK2ZQdXESC1Fu9Slf8DTlXVQ,646
madplotlib/templates/2_data_preprocessing.py,sha256=BLG15VruBHvliN5FPMDDIkvTmCd2JSvwtreCx1fLL50,1231
madplotlib/templates/3_linear_regression.py,sha256=TTBUj4DqXG_Y1B5aoOXVUwzVIPW_DNGIjZ6lcgRk5ak,1106
madplotlib/templates/4_knn_algorithm.py,sha256=KajFD-jprClk6CYp_2VKytKtFiB7IYWPN8jK3MzOlEc,1104
madplotlib/templates/5_svm_algorithm.py,sha256=jOF7kmaIPWe9dStl1FE_E3zfR4rz3lxtU9toz7bNaDk,1087
madplotlib/templates/6_naive_bayes_classifier.py,sha256=LQWPLsy5_kVkdwWBz7WoR12ujCzqxGIAnSz8RNfV0Ug,969
madplotlib/templates/7_bagging_methods.py,sha256=9wl1sTSuXEOSnNvLnoxkIl77qwIwleyhBueJNizOoX0,1480
madplotlib/templates/8_boosting_methods.py,sha256=fCziGcO5o8GSKgBagdyZtL5JsnFwlsSCtINtB-2Ev7E,1565
madplotlib-0.1.0.dist-info/METADATA,sha256=mPU-F2XWy8PR7x32CLUkHqLSS0XxQ0WfD-Y87YdwL5I,599
madplotlib-0.1.0.dist-info/WHEEL,sha256=K260EYznzXsJYBQGqmI8VTxEdiZYNvDZwW9cBh9-_MA,91
madplotlib-0.1.0.dist-info/entry_points.txt,sha256=jV6cYCmEyrCM9I4s6qjgdyuyD4HPjGOJ1O8tBUSEPws,56
madplotlib-0.1.0.dist-info/top_level.txt,sha256=Sm3v-JEbGXfuVPbSyvpMOlPMUfz6nlTh4LPjQSGh3U0,11
madplotlib-0.1.0.dist-info/RECORD,,
