Art of Stat: Machine Learning

Bernhard Klingenberg, Art of Stat

Mayelana nalolu hlelo lokusebenza

Uhlelo lokusebenza lwe-Art of Stat: Machine Learning luhlanganisa izindlela zokufunda ezigadiwe nezingagadiwe, likuvumela ukuthi uhlukanise idatha ibe amasethi okuqeqesha nokuhlola, libona ngeso lengqondo zonke izindlela, kufaka phakathi izibikezelo namamephu okushisa, futhi likuvumela ukuthi uhlole ukunemba kwe-algorithm yakho ngokubonisa i-matrix yokudideka nokuningi.

Ama-algorithm e-ML afakiwe kuze kube manje afaka:

- Ukuhlehla Okunemigqa Eminingi (kufaka phakathi izibikezeli zezigaba kanye nokusebenzisana kokuxhumana)
- Ukuhlehla Okunemigqa Eminingi (kufaka phakathi izibikezeli zezigaba kanye nokusebenzisana kokuxhumana)
- Ukuhlaziywa Okuhlukile (Okunemigqa kanye Nesikwele)
- I-Naive Bayes
- Ukuhlanganisa Ama-K-Means

Ukusebenza:
- Ihlinzeka ngamasethi edatha ahlukahlukene (ama-Palmer Penguins, Ikhwalithi Yewayini, Isifo Senhliziyo, Izimbali ze-Iris, Okuzenzakalelayo Kwekhadi Lesikweletu, ...) noma ivumela umsebenzisi ukuthi alayishe ifayela lakhe le-CSV
- Hlukanisa idatha kumasethi okuqeqesha nawokuhlola
- Faka Izici Ezijwayelekile
- Khetha izici eziqhubekayo kanye/noma zezigaba (lapho kufanele khona)
- Bona ngeso lengqondo zonke izindlela (ama-Scatterplots, ama-Heatmaps), amalebula abikezelwe noma amathuba angemuva
- Hlola ukunemba ngokubonisa izibalo ze-Confusion Matrix kanye nokunemba (kufaka phakathi ukunemba kanye nokukhumbula) ngezindlela eziningi
- Yenza izibikezelo zokubonwa okusha

Amamojula alungiselelwayo:
- Izihlahla Zezinqumo Namahlathi Angahleliwe
- Umakhelwane Oseduze

Yini entsha

Initial Release