Introduction to Machine Learning For Data Science Course
What will I learn?
Fungua uwezo wa data na kozi yetu ya 'Utangulizi wa Machine Learning kwa Data Science', iliyoundwa mahususi kwa wataalamu wa Business Intelligence. Ingia ndani kabisa ya mada muhimu kama vile uandaaji data, uhandisi wa vipengele, na mafunzo ya modeli. Jifunze algorithms za hali ya juu kama vile Random Forests na Gradient Boosting kwa utabiri wa mauzo. Jifunze kuboresha modeli kupitia urekebishaji wa hyperparameter na uzitathmini kwa kutumia vipimo kama MAE na RMSE. Imarisha ujuzi wako wa BI na maarifa ya vitendo na ya hali ya juu ambayo yanaendesha mafanikio ya biashara.
Apoia's Unique Benefits
Develop skills
Enhance your practical skills listed below
Bobea katika usafishaji wa data: Hakikisha usahihi kwa kuondoa hitilafu na makosa.
Tengeneza uhandisi wa vipengele: Unda vipengele vyenye matokeo kwa utendaji bora wa modeli.
Boresha modeli: Ongeza usahihi na urekebishaji wa hyperparameter na ulinganisho wa algorithm.
Taswira maarifa ya data: Tumia zana za taswira ili kufichua maarifa yanayoweza kutekelezwa.
Tathmini modeli: Pima mafanikio na vipimo kama MAE na RMSE.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change 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 does not equate to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.