Python And Machine Learning Course
Fɛɛ gbɔngbɔng Python Ɔ Machine Learning gbɔngbɔng toh, ná wi wi wi fɔ tɛknɔlɔji pipul. Ɔɔnda gbɛndi insai feature enjiniya stratɛji dem, sabi masta model treniŋ Ɔ ivalueshɔn, Ɔ lukluk data vizualizeshɔn wit Matplotlib. Lan data kolɛkshɔn tiknik dem, priprosesiŋ mɛtɔd dem, Ɔ model silɛkshɔn. Ɛnhans yu skil wit model ɔptimaizeshɔn tiknik dem, inklud hyperparamita tuniŋ Ɔ krɔs-valideshɔn. Dis lensɔn gi yu praktikal, kwaleiti konten fɔ mek yu keeria go op insai tɛk.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Fɛɛ gbɔngbɔng Python Ɔ Machine Learning gbɔngbɔng toh, ná wi wi wi fɔ tɛknɔlɔji pipul. Ɔɔnda gbɛndi insai feature enjiniya stratɛji dem, sabi masta model treniŋ Ɔ ivalueshɔn, Ɔ lukluk data vizualizeshɔn wit Matplotlib. Lan data kolɛkshɔn tiknik dem, priprosesiŋ mɛtɔd dem, Ɔ model silɛkshɔn. Ɛnhans yu skil wit model ɔptimaizeshɔn tiknik dem, inklud hyperparamita tuniŋ Ɔ krɔs-valideshɔn. Dis lensɔn gi yu praktikal, kwaleiti konten fɔ mek yu keeria go op insai tɛk.
Elevify advantages
Develop skills
- Masta feature enjiniya: Kriet Ɔ ɔptimaiz data fɛcha fɔ model dem.
- ivaluet model dem: Yuz metrik Ɔ valideshɔn fɔ jɔj model pafɔmans.
- Du data analises: Vizualiz Ɔ sabi patɛn dem wit Matplotlib.
- Priproses data: Klin, nɔmalaiz, Ɔ kia fɔ data we misin gud wan.
- Ɔptimaiz algɔritm dem: Tun hyperparamita fɔ model we kɔrɛkt pas.
Suggested summary
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