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Analytics Vidhya

Mayelana nalolu hlelo lokusebenza

Uhlelo lokusebenza lwe-Analytics Vidhya luhlinzeka ngezinsiza zokufunda zekhwalithi ephezulu zososayensi bedatha, onjiniyela bedatha nabafundi abafuna ukufunda isayensi yedatha nama-algorithms okufunda komshini, kanye namakhodi. Thola izindatshana zokufunda eziqondene nawe kanye nezifundo ezisuselwe kokuncamelayo

Izifundo zamahhala kuhlelo lokusebenza
1. Isingeniso seBusiness Analytics
2. Isingeniso sePython
3. Isingeniso se-NLP
4. Isingeniso se-AI ne-ML
5. AmaPanda okuhlaziya idatha
6. Ukuqala ngezihlahla zokunquma
7. Convolutional Neural Networks
8. Imishini Yokusekela Vector
9. Izisekelo Zokuhlaziywa Kokuhlehla
10. Ukuhlelwa Komugqa kochwepheshe besayensi yedatha
11. Isingeniso sePytorch sokufunda ngokujulile
12. Naivebayes kusukela ekuqaleni
13. Hlanganisa Amasu Okufunda
14. I-KNN ku-Python ne-R
15. Ukunciphisa Ubukhulu Ekufundeni Ngomshini
16. Ukuqalisa nge-scikit-learn
17. Ukuhlolwa kwe-hypothesis kwesayensi yedatha nokuhlaziya


Zingcolise izandla zakho ngezifundo Zamahhala Zephrojekthi kuhlelo lokusebenza
1. Twitter Sentiment Analysis
2. I-Bigmart Sales Prediction isebenzisa i-R
3. Inkinga Yomkhuba Wokubikezela Imalimboleko

Funda ezihlokweni ezidumile ohlelweni lokusebenza
1. Ama-algorithms okufunda komshini asetshenziswa kakhulu
2. Isifundo esiphelele sokufunda isayensi yedatha usebenzisa iPython
3. Izinhlobo Zokuhlehla
4. Naivebayes Algorithm
5. Ukuqonda i-SVM
6. Qedela isifundo sokumodela okusekelwe esihlahleni
7. Qedela okokufundisa kuchungechunge lwesikhathi lokumodela ku-R
8. Isingeniso se-KNN
9. Umhlahlandlela ophelele wokuhlola idatha


Futhi thola izindatshana ezintsha nsuku zonke kuhlelo lokusebenza kanye nezaziso ezizobuyekezwa ngomkhuba wesayensi yedatha kanye nomkhakha

I-Analytics Vidhya ingumphakathi omkhulu wesayensi yedatha wase-India futhi ungowesibili emhlabeni.
Inhloso yethu ukukusiza ufunde imiqondo yesayensi yedatha, ukufunda ngomshini, ukufunda okujulile, idatha enkulu, i-NLP, i-Computer Vision & nobuhlakani bokufakelwa (AI) ngendlela yokusebenzisana kakhulu kusukela kweziyisisekelo kuze kufike kumazinga athuthuke kakhulu.

Sinabasebenzisi ababhalisiwe abangaphezu kwesigidi kanye nokuvakasha kwanyanga zonke okungaphezu kwezigidi ezingu-5 kuphothali yethu. Abantu bazibandakanya ku-Analytics Vidhya ukuze bafunde kubaholi bemicabango nakochwepheshe bemboni, babambe iqhaza ekuqasheni, ekufakeni uphawu nasekuxazululeni izinkinga/ama-hackathon okuthola izixuku ku-Global DataHack Platform yethu (https://datahack.analyticsvidhya.com/contest/all/) ezindaweni ezinjalo. njenge-Artificial Intelligence, Learning Machine , Data Engineering, Data Mining and Advanced Analytics, futhi ihlanganyela ezingxoxweni ukuze wabelane ngemibono nokuxazulula izinkinga zebhizinisi ezihlobene nedatha yezinhlangano. Sinenkundla yezifundo (https://courses.analyticsvidhya.com/) lapho ungabhalisa khona ezinhlelweni ezifana ne-AI ne-ML Blackbelt (uhlelo oluzihambelayo) kanye ne-Bootcamp (Uhlelo lwe-Fresheres oluneSiqiniseko Somsebenzi kusayensi yedatha) oludalwe abaholi bemboni kusayensi yedatha kanye nobuhlakani bokwenziwa lapho ungabhalisa khona ezifundweni futhi ucije isethi yakho yamakhono.

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