modyuli #1 Xingheniso xa Sayense ya Data Nkatsakanyo wa sayense ya datha, nkoka, na matirhiselo
modyuli #2 Maendlelo ya Sayense ya Data Ku twisisa endlelo ra sayense ya datha:nhlamuselo ya swiphiqo, nhlengeleto wa datha, ku basisa, nxopaxopo, na ku vona hi mahlo ya mianakanyo
modyuli #3 Python for Data Science Ku nghenelela eka ririmi ra minongonoko ya Python na tilayiburari ta yona ta sayense ya data (NumPy, Pandas, na swin’wana)
modyuli #4 Data Preprocessing Ku khoma mimpimo leyi kayivelaka, ku tolovela datha, ku ringanisa swihlawulekisi, na datha ku hundzuka
modyuli #5 Ku Vonakala ka Data Ku nghenelela eka ku vonakala ka datha hi ku tirhisa Matplotlib na Seaborn
modyuli #6 Tinhlayohlayo to Hlamusela Mimpimo ya mboyamelo wa le xikarhi, ku cinca-cinca, na ku hangalasiwa ka datha
modyuli #7 Tinhlayohlayo ta Xiringanyeto Xiringanyeto ku kambela, nkarhi wo tshemba, na p-values
modyuli #8 Nxopaxopo wa ku tlhelela endzhaku Ku tlhelela endzhaku ko olova na ko tala ka linear, miehleketo ya ku tlhelela endzhaku, na ku kamberiwa ka modele
modyuli #9 Vunjhiniyara bya Swihlawulekisi Ku hlawula swihlawulekisi, ku humesa, na tithekiniki to tumbuluxa
modyuli #10 Dyondzo leyi Langutisiwaka Ku nghenelela eka dyondzo leyi langutisiwaka, ku hlawula, na ku tlhelela endzhaku
modyuli #11 Dyondzo leyi nga langutisiwangiki Ku nghenelela eka dyondzo leyi nga langutisiwangiki, ku hlengeletiwa, na ku hunguta tidimenxini
modyuli #12 Nkambisiso wa Xikombiso Metrics for ku kambela matirhelo ya modele, ku tlula mpimo, na ku ringanela kahle
modyuli #13 Mirhi ya Xiboho na Makhwati ya Xitshuketa Ku nghenelela eka mirhi ya xiboho na makhwati ya xitshuketa, swipfuno, na swipimelo
modyuli #14 Seketela Michini ya Vector Xingheniso xo seketela michini ya vector, kernel trick, na tinxaka ta SVM
modyuli #15 Neural Networks Ku nghenelela eka ti neural networks, perceptron, na multilayer perceptron
modyuli #16 Deep Learning Xingheniso xa dyondzo yo enta, convolutional neural networks, na ti neural networks leti vuyeleriwaka
modyuli #17 Ku Endliwa ka Ririmi ra Ntumbuluko Ku nghenelela eka ku lulamisiwa ka ririmi ra ntumbuluko, ku lulamisiwa ka matsalwa ka ha ri emahlweni, na ku yimela matsalwa
modyuli #18 Tidathabeyisi ta Datha Leyikulu na NoSQL Ku nghenelela eka datha leyikulu, ikhosisteme ya Hadoop, na tidathabeyisi ta NoSQL
modyuli #19 Ku Hlamusela Switori swa Data Ku vulavurisana loku humelelaka ka vutivi na mimbuyelo hi ku tirhisa ku vonakala ka datha na ku vulavula hi switori
modyuli #20 Switirhisiwa na Thekinoloji ya Sayense ya Data Ku nghenelela eka switirhisiwa na thekinoloji ya sayense ya data, Tibuku ta Tinotsi ta Jupyter, na Git
modyuli #21 Dyondzo ya Xikombiso 1:Nxopaxopo wa ku tlhelela endzhaku Ku tirhisa nxopaxopo wa ku tlhelela endzhaku eka xiphiqo xa xiviri
modyuli #22 Dyondzo ya Xiendlakalo 2:Ku Hlela Ku tirhisa tithekiniki ta ku hlawula eka xiphiqo xa xiviri
modyuli #23 Dyondzo ya Xiendlakalo 3:Ku Hlela Ku tirhisa tithekiniki ta ku hlengeleta eka xiphiqo xa xiviri
modyuli #24 Ku Pfuxeta & Mahetelelo ya Khoso Ku pulana magoza lama landzelaka eka ntirho wa Sayense ya Data
U lunghekele ku dyondza, ku avelana ni ku phikizana?
