9:33: The performance of an ML model could be evaluated using the base models. It's hard to say that 60% is good or bad. It really depends on the quality of the data and whether the extracted/selected features help predict the target variable (in other words, they are correlated with the target variable). Therefore, 60% accuracy is not bad if the base model performs at 50%. However, the model should be improved, which could be achieved by adjusting the parameters or by having more and/or high-quality data. The point of this comment is this: there's no rule that says 60% accuracy is bad.
مكملتش مثال الكفته 🤣🤣🤣 الششرح جميل ربنا يجازيك
شرحك كويس ما شاء الله .
9:33: The performance of an ML model could be evaluated using the base models. It's hard to say that 60% is good or bad. It really depends on the quality of the data and whether the extracted/selected features help predict the target variable (in other words, they are correlated with the target variable). Therefore, 60% accuracy is not bad if the base model performs at 50%. However, the model should be improved, which could be achieved by adjusting the parameters or by having more and/or high-quality data. The point of this comment is this: there's no rule that says 60% accuracy is bad.
عظمة بجد جزاك الله خيرا شرح ممتاز جدا
عاوزة لينك دورة البايثون المدفوعة ؟؟
لو سمحت ممكن تعمل حلقة عن الsupport Victor regression
نفس سؤالي، هل انت فاهم الsvr
ممكن تشرح svr?
شكرا ي مهندس الشرح رائع جدا
I'm graduated from mathematics department,oh really I can understand all you said , now I know why I topology and linear algebra are so important 😄👍
طب متي يتم استخدام شجره القرار و خوزمية SVM
من افضل الاساتذه علي يوتيوب
رائع يا باشا ❤
جزاك الله خيرا يا حبيب
💙💙
شكرا على مجهودك مهندس مصطفى
Art 🫡♥️
يعطيك الف عافيه
جزاك الله الف خير . شرح و مجهود بصراحة جبار
the course is well designed well explained, and simplified enough to be understandable.