دورة : هندسة العناصر

: و ستكون مواعيدها

المحاضرة الأولي : الأربعاء 13 يوليو -

المحاضرة الثانية : الأربعاء 27 يوليو-

المحاضرة الثالثة : الأربعاء 10 أغسطس-

المحاضرة الرابعة : الأربعاء 24 أغسطس-

المحاضرة الخامسة : الأربعاء 7 سبتمبر-

المحاضرة السادسة : الأربعاء 21 سبتمبر-

وجميع المحاضرات في تمام الساعة التاسعة مساء بتوقيت القاهرة , العاشرة بتوقيت مكة المكرمة

. . و سيتم إدراج المحاضرات هنا عقب تسجيلها

المحاضرة الأولي

المطلوب مشاهدته

https://www.youtube.com/watch?v=awTU_lDQDYw

https://www.youtube.com/watch?v=S2Fqk1icPFs

https://www.youtube.com/watch?v=IxxGqoOksJ4

https://www.youtube.com/watch?v=vPaXbA_xQFQ

https://www.youtube.com/watch?v=_6a1AZ8R7cI

https://www.youtube.com/watch?v=T18rp49owgM

https://www.kaggle.com/code/rtatman/data-cleaning-challenge-handling-missing-values

https://www.kaggle.com/code/rtatman/data-cleaning-challenge-scale-and-normalize-data

https://www.kaggle.com/code/chadalee/olympics-data-cleaning-exploration-prediction

https://www.kaggle.com/code/milankalkenings/comprehensive-tutorial-data-cleaning

المحاضرة الثانية

المطلوب مشاهدته

* data slicing

https://www.activestate.com/resources/quick-reads/how-to-slice-a-dataframe-in-pandas/

https://datacarpentry.org/python-ecology-lesson/03-index-slice-subset/index.html

https://www.journaldev.com/55406/data-filtering-in-python-pandas

https://www.youtube.com/watch?v=htyWDxKVttE

https://www.youtube.com/watch?v=ni9ng4Jy3Z8

https://www.youtube.com/watch?v=Sz_iXvh25Ew

* feature encoding : categorical

https://analyticsindiamag.com/a-complete-guide-to-categorical-data-encoding

https://www.analyticsvidhya.com/blog/2020/08/types-of-categorical-data-encoding/

https://www.geeksforgeeks.org/feature-encoding-techniques-machine-learning/

https://www.youtube.com/watch?v=irHhDMbw3xo

https://www.youtube.com/watch?v=WXHLLO4FnZs

https://www.youtube.com/watch?v=Guis2MvnJfU

https://www.youtube.com/watch?v=u5R2G_fR6sc

* feature scaling : numerical

https://www.analyticsvidhya.com/blog/2020/04/feature-scaling-machine-learning-normalization-standardization/

https://www.geeksforgeeks.org/ml-feature-scaling-part-2/

https://www.youtube.com/watch?v=31_JLKI8xPQ

https://www.youtube.com/watch?v=Dch6J3HzIOw

https://www.youtube.com/watch?v=4RmXXNxAves

https://www.youtube.com/watch?v=wFuBUbfixzU

https://www.youtube.com/watch?v=ZddUwo4R5ug

المحاضرة الثالثة

المطلوب مشاهدته

feature extraction

https://www.youtube.com/watch?v=pr5LXi4U10c

https://www.youtube.com/watch?v=JviZB2d64KU

https://www.youtube.com/watch?v=y_X4hXjTFNQ

https://www.youtube.com/watch?v=YNrMdZtxRmQ

https://deepai.org/machine-learning-glossary-and-terms/feature-extraction

https://www.analyticsvidhya.com/blog/2021/04/guide-for-feature-extraction-techniques/

https://www.educative.io/answers/what-is-feature-extraction

https://machinelearningmastery.com/feature-extraction-on-tabular-data/

feature importance & feature selection

https://www.youtube.com/watch?v=IhSWvwmpwTU

https://www.youtube.com/watch?v=5bHpPQ6_OU4

https://www.youtube.com/watch?v=YaKMeAlHgqQ

https://www.youtube.com/watch?v=R47JAob1xBY

https://www.youtube.com/watch?v=wjKvyk8xStg

https://machinelearningmastery.com/feature-selection-with-real-and-categorical-data/

https://www.datacamp.com/tutorial/feature-selection-python

https://www.analyticsvidhya.com/blog/2020/10/feature-selection-techniques-in-machine-learning/

https://regenerativetoday.com/four-popular-feature-selection-methods-for-efficient-machine-learning-in-python/

المحاضرة الرابعة

المحاضرة الخامسة

مشروع التخرج

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