Python With Machine Learning Course
What will I learn?
Opɛn di pawa fɔ Python ɛn mashiin lɛnii wit wi kɔmprɛhensiv kos we dɛn mek fɔ tɛknɔlɔji pipul dɛn. Go insai fɔ lan bɔt fityɔ injiniarin, we yu go masta skelin, nɔmalaizin, ɛn aw fɔ yuz katɛgɔrikɔl variɛbul dɛn. Mek yu skil gɛt pawa wit mɔdel ɔptimaize trik dɛn lɛk random sɔch ɛn aypaparamita tyunin. Luk data sayt dɛn frɔm UCI ɛn Kaggle, ɛn gɛt sɛns fɔ algo dɛn lɛk random fɔrɛst ɛn disishɔn tri dɛn. Mek yu nolej go ɔp wit pratikul trenin we dɛn dɔn mek fayn fɔ di rial wɔl.
Apoia's Unique Features
Develop skills
Enhance your practical skills in the areas listed below.
Masta fityɔ injiniarin: Skel, nɔmalaiz, ɛn mek tem-bes fityɔ dɛn.
Ɔptimaiz mɔdel dɛn: Lan aypaparamita tyunin ɛn grid sɔch trik dɛn.
Ɛnsoch data fayn fayn: Yuz UCI ɛn Kaggle fɔ data set dɛn we mek sɛns.
Impilimɛnt algo dɛn: Luk random fɔrɛst dɛn, disishɔn tri dɛn, ɛn liniɛ rikrɛshɔn.
Evalyuet mɔdel dɛn: Yuz MAE, RMSE, ɛn data splitin fɔ pafɔmans anaylɛsis.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but it offers practical and relevant knowledge for your professional journey.