M'ndandanda wazopezekamo[Bisani][Show]
- 1. Titanics
- 2. Gulu la Maluwa aku Ireland
- 3. Boston House Price Prediction
- 4. Kuyesa Kwabwino kwa Vinyo
- 5. Kuneneratu kwa Market Market
- 6. Malangizo Movie
- 7. Katundu Kuyenerera Kulosera
- 8. Sentiment Analysis pogwiritsa ntchito Twitter Data
- 9. Kuneneratu Zam'tsogolo Zogulitsa
- 10. Kuzindikira Nkhani Zabodza
- 11. Makuponi Kugula Kuneneratu
- 12. Makasitomala Churn Kuneneratu
- 13. Wallmart Sales Forecasting
- 14. Uber Data Analysis
- 15. Kuwunika kwa Covid-19
- Kutsiliza
Kuphunzira pamakina ndi kafukufuku wosavuta wa momwe mungaphunzitsire pulogalamu yapakompyuta kapena algorithm kuti muwongolere pang'onopang'ono pa ntchito inayake yoperekedwa pamlingo wapamwamba. Kuzindikiritsa zithunzi, kuzindikira zachinyengo, njira zopangira, ndi mapulogalamu ena ophunzirira pamakina zatsimikizika kale kuti ndizotchuka.
Ntchito za ML zimapangitsa kuti ntchito ya anthu ikhale yosavuta komanso yothandiza, kupulumutsa nthawi ndikuwonetsetsa kuti zotsatira zake zimakhala zapamwamba kwambiri. Ngakhale Google, injini yosakira yotchuka kwambiri padziko lonse lapansi, imagwiritsa ntchito makina kuphunzira.
Kuchokera pakuwunika funso la wogwiritsa ntchito ndikusintha zotsatira kutengera zotsatira mpaka kuwonetsa mitu ndi zotsatsa zomwe zikuyenda bwino mogwirizana ndi funso, pali zosankha zingapo zomwe zilipo.
Zipangizo zamakono zomwe zimakhala zozindikira komanso zodziwongolera sizili kutali m'tsogolomu.
Imodzi mwa njira zazikulu zoyambira ndikuyamba kugwira ntchito ndikukonzekera polojekiti. Chifukwa chake, tapanga mndandanda wama projekiti apamwamba 15 ophunzirira makina kwa oyamba kumene kuti muyambe.
1. Titanic
Izi nthawi zambiri zimatengedwa kuti ndi imodzi mwantchito zazikulu komanso zosangalatsa kwa aliyense amene akufuna kuphunzira zambiri zamakina. Titanic Challenge ndi pulojekiti yotchuka yophunzirira makina yomwe imagwiranso ntchito ngati njira yabwino yodziwira nsanja ya sayansi ya data ya Kaggle. Chidziwitso cha Titanic chimapangidwa ndi zowona zenizeni kuchokera pakumira kwa sitimayo yoyipa.
Zimaphatikizanso zambiri monga zaka za munthuyo, chikhalidwe chake, chikhalidwe cha anthu, jenda, nambala yanyumba, doko lonyamulira, komanso chofunikira kwambiri, ngati adapulumuka!
Njira ya K-Nearest Neighbor ndi gulu lamitengo yachisankho zidatsimikizika kuti zibweretse zotsatira zabwino kwambiri pantchitoyi. Ngati mukuyang'ana zovuta zakumapeto kwa sabata kuti muwongolere bwino Maluso a Makina Ophunzirira, iyi pa Kaggle ndi yanu.
2. Gulu la Maluwa aku Ireland
Oyamba kumene amakonda ntchito yogawa maluwa a iris, ndipo ndi malo abwino kuyamba ngati mwangoyamba kumene kuphunzira makina. Kutalika kwa sepals ndi petals kumasiyanitsa maluwa a iris ndi mitundu ina. Cholinga cha polojekitiyi ndikulekanitsa maluwawo kukhala mitundu itatu: Virginia, setosa, ndi Versicolor.
Pochita masewera olimbitsa thupi, polojekitiyi imagwiritsa ntchito deta yamaluwa ya Iris, yomwe imathandizira ophunzira kuphunzira zoyambira zokhudzana ndi manambala ndi deta. Dongosolo la maluwa a iris ndilaling'ono lomwe limatha kusungidwa pamtima popanda kukulitsa.
3. Boston House Price Prediction
Winanso wodziwika bwino dataset kwa novices mu kuphunzira makina ndi data ya Boston Housing. Cholinga chake ndikulosera zamitengo yakunyumba m'malo osiyanasiyana aku Boston. Zimaphatikizapo ziwerengero zofunika kwambiri monga zaka, msonkho wa katundu, kuchuluka kwa umbanda, ngakhale kuyandikira kwa malo ogwira ntchito, zomwe zingakhudze mitengo ya nyumba.
Dongosololi ndi losavuta komanso laling'ono, zomwe zimapangitsa kuti zikhale zosavuta kuyesa zoyambira. Kuti mudziwe zomwe zimakhudza mtengo wanyumba ku Boston, njira zotsitsimutsa zimagwiritsidwa ntchito kwambiri pamagawo osiyanasiyana. Ndi malo abwino kuyeserera njira zochepetsera ndikuwunika momwe zimagwirira ntchito.
4. Kuyeza Ubwino wa Vinyo
Vinyo ndi chakumwa choledzeretsa chachilendo chomwe chimafuna zaka zambiri kuti ufufuze. Zotsatira zake, botolo lakale la vinyo ndi vinyo wamtengo wapatali komanso wapamwamba kwambiri. Kusankha botolo loyenera la vinyo kumafuna zaka zambiri za chidziwitso cholawa vinyo, ndipo ikhoza kukhala njira yowonongeka.
Pulojekiti yoyesera mtundu wa vinyo imayesa vinyo pogwiritsa ntchito mayeso a physicochemical monga kuchuluka kwa mowa, acidity yokhazikika, kachulukidwe, pH, ndi zina. Ntchitoyi imatsimikiziranso momwe vinyo amakhalira komanso kuchuluka kwake. Zotsatira zake, kugula vinyo kumakhala kamphepo.
5. Stock Market Prediction
Izi ndi zochititsa chidwi ngati mumagwira ntchito kapena ayi. Deta yamsika wamsika imawerengedwa kwambiri ndi akatswiri ophunzira, mabizinesi, komanso ngati gwero la ndalama zachiwiri. Kuthekera kwa wasayansi wa data powerenga ndikuwunika zanthawi yanthawi ndikofunikiranso. Deta kuchokera ku msika wogulitsa ndi malo abwino kuyamba.
Chofunika kwambiri pakuchitapo kanthu ndikulosera za tsogolo la masheya. Izi zimatengera momwe msika ukuyendera komanso ziwerengero zazaka zam'mbuyomu. Kaggle wakhala akusonkhanitsa zambiri pa index ya NIFTY-50 kuyambira 2000, ndipo pano ikusinthidwa sabata iliyonse. Kuyambira pa Januware 1, 2000, lakhala ndi mitengo yamasheya m'mabungwe opitilira 50.
6. Malingaliro a kanema
Ndikukhulupirira kuti munakhalapo ndi izi mutawona kanema wabwino. Kodi munayamba mwamvapo chikhumbo chofuna kusangalatsa mtima wanu powonera kwambiri mafilimu ngati amenewa?
Tikudziwa kuti mautumiki a OTT monga Netflix asintha machitidwe awo olimbikitsa kwambiri. Monga wophunzira wamakina, muyenera kumvetsetsa momwe ma aligorivimu amalozera makasitomala kutengera zomwe amakonda komanso ndemanga zawo.
Zambiri za IMDB zomwe zakhazikitsidwa pa Kaggle mwina ndi imodzi mwazambiri, zomwe zimalola kuti malingaliro awongoleredwe potengera mutu wa kanema, mavoti a kasitomala, mtundu, ndi zina. Ndi njira yabwino kwambiri yophunzirira Zosefera Zogwirizana ndi Zomwe Muli ndi Zochita.
7. Katundu Woyenerera Kuneneratu
Dziko likuzungulira pa ngongole. Ndalama zomwe mabanki amapeza zimachokera ku chiwongola dzanja cha ngongole. Chifukwa chake ndi bizinesi yawo yofunikira.
Anthu paokha kapena magulu a anthu atha kukulitsa chuma poika ndalama kukampani ndikuyembekeza kuti idzakwera mtengo m'tsogolomu. Nthawi zina ndikofunikira kufunafuna ngongole kuti muthe kutenga zoopsa zamtunduwu komanso ngakhale kuchita nawo zosangalatsa zina zadziko.
Ngongole isanavomerezedwe, mabanki nthawi zambiri amakhala ndi ndondomeko yokhwima yoti atsatire. Popeza ngongole ndi gawo lofunika kwambiri pa moyo wa anthu ambiri, kulosera kuyenerera kubwereketsa komwe wina akufunsira kungakhale kopindulitsa kwambiri, zomwe zimapangitsa kukonzekera bwino kuposa kuvomerezedwa kapena kukanidwa.
8. Sentiment Analysis pogwiritsa ntchito Twitter Data
ayamikike malo ochezera a pa TV monga Twitter, Facebook, ndi Reddit, malingaliro owonjezera ndi zomwe zikuchitika zakhala zophweka kwambiri. Chidziwitsochi chimagwiritsidwa ntchito kuchotsa malingaliro pazochitika, anthu, masewera, ndi nkhani zina. Njira zophunzirira makina okhudzana ndi migodi zikugwiritsidwa ntchito m'malo osiyanasiyana, kuphatikiza ndale komanso kuwunika kwazinthu za Amazon.
Pulojekitiyi idzawoneka yabwino kwambiri pazambiri zanu! Pakuzindikira kukhudzidwa ndi kusanthula kotengera mawonekedwe, njira monga makina othandizira ma vector, regression, and classification algorithms zitha kugwiritsidwa ntchito mozama (kupeza zenizeni ndi malingaliro).
9. Future Sales Prediction
Mabizinesi akuluakulu a B2C ndi amalonda amafuna kudziwa kuchuluka kwa malonda omwe ali muzogulitsa zawo. Kuneneratu zamalonda kumathandizira eni mabizinesi kudziwa kuti ndi zinthu ziti zomwe zikufunidwa kwambiri. Kuwonetseratu kolondola kwa malonda kudzachepetsa kwambiri kuwonongeka ndikuwonetsetsanso kukwera kwa bajeti yamtsogolo.
Ogulitsa monga Walmart, IKEA, Big Basket, ndi Big Bazaar amagwiritsa ntchito zolosera zamalonda kuti athe kuyerekeza kuchuluka kwazinthu. Muyenera kudziwa njira zosiyanasiyana zoyeretsera deta kuti mupange mapulojekiti a ML. Komanso, kumvetsetsa bwino kuwunika kwa regression, makamaka kusinthasintha kwa mzere, ndikofunikira.
Pantchito zamtunduwu, muyenera kugwiritsa ntchito malaibulale ngati Dora, Scrubadub, Pandas, NumPy, ndi ena.
10. Kuzindikira Nkhani Zabodza
Ndi khama lina lapamwamba kwambiri lophunzirira makina opangira ana asukulu. Nkhani zabodza zikufalikira ngati moto wolusa, monga tonse tikudziwa. Chilichonse chimapezeka pama social media, kuyambira kulumikizana anthu mpaka kuwerenga nkhani zatsiku ndi tsiku.
Zotsatira zake, kuzindikira nkhani zabodza kwakhala kovuta masiku ano. Malo ambiri ochezera a pa TV, monga Facebook ndi Twitter, ali kale ndi ma algorithms m'malo kuti azindikire nkhani zabodza pazolemba ndi ma feed.
Kuti mudziwe nkhani zabodza, mtundu uwu wa pulojekiti ya ML umafunika kumvetsetsa bwino njira zingapo za NLP ndi ma algorithms amagulu (PassiveAggressiveClassifier kapena Naive Bayes classifier).
11. Makuponi Purchase Prediction
Makasitomala akuganiza zogula pa intaneti pomwe coronavirus idaukira dziko lapansi mu 2020. Zotsatira zake, malo ogulitsa adakakamizika kusintha bizinesi yawo pa intaneti.
Makasitomala, kumbali ina, akufunafunabe zotsatsa zabwino, monga momwe amachitira m'masitolo, ndipo akusaka makuponi opulumutsa kwambiri. Palinso masamba operekedwa kuti apange makuponi amakasitomala otere. Mutha kuphunzira za migodi ya data pakuphunzira kwamakina, kupanga ma graph a bar, ma chart a pie, ndi histograms kuti muwonetsetse deta, ndikuwonetsa uinjiniya ndi polojekitiyi.
Kuti mupange zolosera, mutha kuyang'ananso njira zotengera deta pakuwongolera mayendedwe a NA ndi kufanana kwamitundu yosiyanasiyana.
12. Customer Churn Prediction
Makasitomala ndi chinthu chofunikira kwambiri pakampani, ndipo kuwasunga ndikofunikira pabizinesi iliyonse yomwe ikufuna kukweza ndalama ndikupanga kulumikizana nawo kwanthawi yayitali.
Kuphatikiza apo, mtengo wopezera kasitomala watsopano ndi wokwera kuwirikiza kasanu mtengo wopezera kasitomala watsopano. Customer Churn/Attrition ndivuto labizinesi lodziwika bwino lomwe makasitomala kapena olembetsa amasiya kuchita bizinesi ndi ntchito kapena kampani.
Iwo sadzakhalanso makasitomala olipira. Makasitomala amaonedwa kuti ndi achurned ngati pakhala nthawi yayitali kuchokera pomwe kasitomala adalumikizana ndi kampaniyo. Kuzindikira ngati kasitomala angasokonekere, komanso kupereka mwachangu zidziwitso zoyenera kusungitsa makasitomala, ndikofunikira kuti muchepetse kukhumudwa.
Ubongo wathu sungathe kuyembekezera kusintha kwamakasitomala kwa mamiliyoni amakasitomala; apa ndi pamene kuphunzira makina kungathandize.
13. Wallmart Sales Forecasting
Chimodzi mwazinthu zodziwika bwino zophunzirira makina ndikulosera zamalonda, zomwe zimaphatikizapo kuzindikira zomwe zimakhudza kugulitsa kwazinthu komanso kuyembekezera kuchuluka kwa malonda amtsogolo.
Dongosolo la data la Walmart, lomwe lili ndi data yogulitsa kuchokera kumadera 45, limagwiritsidwa ntchito pophunzira makinawa. Zogulitsa pa sitolo iliyonse, ndi gulu, pa sabata zimaphatikizidwa mu dataset. Cholinga cha pulojekiti yophunzirira makinawa ndikuyembekeza kugulitsa kwa dipatimenti iliyonse pamalo aliwonse kuti athe kupanga kukhathamiritsa kwamayendedwe oyendetsedwa ndi data komanso zisankho zokonzekera zinthu.
Kugwira ntchito ndi Walmart dataset ndizovuta chifukwa ili ndi zochitika zosankhidwa zomwe zimakhudza malonda ndipo ziyenera kuganiziridwa.
14. Uber Data Analysis
Zikafika pakukhazikitsa ndikuphatikiza kuphunzira kwamakina ndi kuphunzira mozama mu mapulogalamu awo, ntchito yotchuka yogawana kukwera sikutsalira. Chaka chilichonse, imayendetsa maulendo mabiliyoni ambiri, zomwe zimalola apaulendo kuyenda nthawi iliyonse masana kapena usiku.
Chifukwa ili ndi makasitomala ambiri, imafunikira makasitomala apadera kuti athetse madandaulo a ogula mwachangu momwe angathere.
Uber ili ndi nkhokwe za mamiliyoni a zonyamula zomwe ingagwiritse ntchito kusanthula ndikuwonetsa maulendo a kasitomala kuti awulule zidziwitso ndikuwongolera makasitomala.
15. Kusanthula kwa Covid-19
COVID-19 yasesa padziko lonse lapansi masiku ano, osati m'lingaliro la mliri. Ngakhale akatswiri azachipatala akuyang'ana kwambiri kupanga katemera wogwira ntchito komanso katemera padziko lonse lapansi, akatswiri asayansi sali patali.
Milandu yatsopano, ziwerengero zatsiku ndi tsiku, kufa, ndi ziwerengero zoyezetsa zonse zikuwululidwa. Zolosera zimachitika tsiku ndi tsiku kutengera kufalikira kwa SARS kwazaka zana zapitazi. Pazifukwa izi, mutha kugwiritsa ntchito kusanthula kwa regression ndikuthandizira mitundu yolosera yotengera makina a vector.
Kutsiliza
Mwachidule, takambirana mapulojekiti apamwamba a ML omwe angakuthandizeni kuyesa mapulogalamu a Machine Learning komanso kumvetsetsa malingaliro ake ndi kukhazikitsa. Kudziwa momwe mungaphatikizire Kuphunzira Kwamakina kungakuthandizeni kupita patsogolo pantchito yanu popeza ukadaulo umatengera makampani onse.
Mukamaphunzira Kuphunzira Kwamakina, tikupangira kuti muyesetse malingaliro anu ndikulemba ma aligorivimu anu onse. Kulemba ma aligorivimu mukamaphunzira ndikofunikira kwambiri kuposa kuchita ntchito, komanso kumakupatsani mwayi womvetsetsa bwino maphunzirowo.
Siyani Mumakonda