{"id":22377,"date":"2024-10-24T17:51:04","date_gmt":"2024-10-24T15:51:04","guid":{"rendered":"https:\/\/www.vita.sk\/?post_type=product&#038;p=22377"},"modified":"2026-10-08T18:50:09","modified_gmt":"2026-10-08T16:50:09","slug":"online-kurz-scikit-learn","status":"publish","type":"product","link":"https:\/\/www.vita.sk\/en\/online-kurz-scikit-learn\/","title":{"rendered":"Online kurz Kni\u017enica Scikit-Learn v Pythone"},"content":{"rendered":"<p><strong>Online kurz Kni\u017enica Scikit-Learn v Pythone<\/strong> je pre v\u00e1s ide\u00e1lny, ak u\u017e pracujete s Pythonom a chcete ho vyu\u017ei\u0165 pri pr\u00edprave d\u00e1t a tvorbe modelov strojov\u00e9ho u\u010denia. Ide o <strong>certifikovan\u00fd online kurz na Python kni\u017enicu scikit-learn<\/strong>. Spolo\u010dne si vysvetl\u00edme, ako rozl\u00ed\u0161i\u0165 regresn\u00fa a klasifika\u010dn\u00fa \u00falohu, pripravi\u0165 vstupn\u00e9 \u00fadaje a za\u010da\u0165 s predikt\u00edvnym modelovan\u00edm. Regresia n\u00e1m pom\u00e1ha odhadova\u0165 \u010d\u00edseln\u00e9 hodnoty, zatia\u013e \u010do klasifik\u00e1cia prira\u010fuje \u00fadaje do vopred ur\u010den\u00fdch kateg\u00f3ri\u00ed. Uk\u00e1\u017eeme si, pre\u010do v\u00fdsledok z\u00e1vis\u00ed od kvality d\u00e1t aj od zvolen\u00e9ho postupu. Z\u00edskan\u00e9 znalosti vyu\u017eijete pri analytick\u00fdch \u00faloh\u00e1ch, sk\u00faman\u00ed vz\u0165ahov medzi premenn\u00fdmi a pr\u00edprave vlastn\u00fdch experimentov. Kurz prep\u00e1ja pr\u00e1cu s \u00fadajmi s praktick\u00fdm pou\u017e\u00edvan\u00edm kni\u017enice pre strojov\u00e9 u\u010denie.<\/p>\n<p>&nbsp;<\/p>\n<p>Pri pr\u00e1ci s kni\u017enicou <strong>scikit-learn v Pythone<\/strong> venujeme pozornos\u0165 <strong>d\u00e1tov\u00e9mu \u010disteniu, predspracovaniu a kontrole vstupov<\/strong>. Nau\u010d\u00edme sa rozli\u0161ova\u0165 valid\u00e1ciu \u00fadajov od ich normaliz\u00e1cie a precvi\u010d\u00edme si \u00fapravu textov\u00fdch re\u0165azcov aj pr\u00e1cu s kolekciami. S\u00fa\u010das\u0165ou je parsovanie XML s\u00faborov, URL adries, logov a PDF dokumentov pomocou n\u00e1strojov Pythonu. Tieto postupy n\u00e1m pom\u00f4\u017eu z\u00edskava\u0165 inform\u00e1cie v podobe vhodnej na \u010fal\u0161ie spracovanie. N\u00e1sledne prejdeme k line\u00e1rnej regresii, viacn\u00e1sobnej regresii a modelom Ridge, Lasso a ElasticNet. Vysvetl\u00edme si ich pou\u017eitie a v\u00fdznam regulariz\u00e1cie pri pr\u00e1ci s koeficientmi modelu. Zozn\u00e1mime sa aj s klastrovan\u00edm, teda zhlukovan\u00edm podobn\u00fdch z\u00e1znamov bez vopred priraden\u00fdch cie\u013eov\u00fdch tried. Nau\u010d\u00edme sa uva\u017eova\u0165 nad t\u00fdm, \u010do v\u00fdsledky modelovania znamenaj\u00fa a ako s\u00favisia s p\u00f4vodn\u00fdm analytick\u00fdm zadan\u00edm.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Online kurz Scikit-learn v Pythone absolvujete v sloven\u010dine a vlastn\u00fdm tempom.<\/strong> Pred za\u010diatkom odpor\u00fa\u010dame mierne pokro\u010dil\u00e9 znalosti Pythonu, objektovo orientovan\u00e9ho programovania a z\u00e1klady \u0161tatistiky. Pri pr\u00e1ci m\u00f4\u017eete vyu\u017ei\u0165 prostredie JetBrains Datalore alebo vlastn\u00e9 prostredie s potrebn\u00fdmi kni\u017enicami. \u010cas na samostatn\u00e9 sk\u00fa\u0161anie pr\u00edkladov si prisp\u00f4sob\u00edte svojim sk\u00fasenostiam. K n\u00e1ro\u010dnej\u0161\u00edm t\u00e9mam sa m\u00f4\u017eete po\u010das pr\u00edstupu vraca\u0165 a postupne ich precvi\u010dova\u0165. Po \u00faspe\u0161nom absolvovan\u00ed z\u00edskate <strong>certifik\u00e1t<\/strong>. Ak sa chcete skuto\u010dne nau\u010di\u0165 pou\u017e\u00edva\u0165 kni\u017enicu scikit-learn v Pythone na pr\u00edpravu d\u00e1t a regresn\u00e9 modelovanie, tak toto je ide\u00e1lny vstupn\u00fd online kurz pre v\u00e1s.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Online kurz Kni\u017enica Scikit-Learn v Pythone v\u00e1s nau\u010d\u00ed pripravova\u0165 a \u010disti\u0165 \u00fadaje, pracova\u0165 s line\u00e1rnou a viacn\u00e1sobnou regresiou, pou\u017e\u00edva\u0165 modely Ridge, Lasso a ElasticNet a orientova\u0165 sa v klastrovan\u00ed. \u0160tudujete vlastn\u00fdm tempom, s pribli\u017ene 14 hodinami obsahu, ro\u010dn\u00fdm pr\u00edstupom, materi\u00e1lmi na stiahnutie a certifik\u00e1tom po \u00faspe\u0161nom absolvovan\u00ed.","protected":false},"author":4,"featured_media":23636,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false},"product_brand":[],"product_cat":[106,1043,99,49,588],"product_tag":[1551,1552,1553,1554,1555,1556,1557,212,609,1350,1352],"class_list":{"0":"post-22377","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-online-kurzy-python","7":"product_cat-online-kurzy-strojove-ucenie-machine-learning","8":"product_cat-online-kurzy-programovacie-jazyky","9":"product_cat-online-kurzy-databazy-statistika-analytika","10":"product_cat-online-kurzy-umela-inteligencia-ai","11":"product_tag-machine-learning","12":"product_tag-regresia","13":"product_tag-klasifikacia","14":"product_tag-klastrovanie","15":"product_tag-datove-cistenie","16":"product_tag-predspracovanie-dat","17":"product_tag-prediktivne-modelovanie","18":"product_tag-python","19":"product_tag-ai","20":"product_tag-strojove-ucenie","21":"product_tag-scikit-learn","23":"first","24":"instock","25":"sale","26":"virtual","27":"sold-individually","28":"taxable","29":"purchasable","30":"product-type-simple"},"yoast_head":"<!-- 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