Data Science Interview Pro

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Mayelana nalolu hlelo lokusebenza

Uma kunjalo, khona-ke lolu uhlelo lokusebenza okufanele ube nalo kuwe.
Ngalolu hlelo lokusebenza olulula, ungaphula ingxoxo yakho elandelayo ye-Data Science ngokuzethemba!

Lolu hlelo lokusebenza luyisiqondiso sanoma ngubani ofuna ukutadisha isayensi yedatha, azenzele amamodeli we-ML, asule izingxoxo.
Lolu hlelo lokusebenza luhlinzeka ngezinto zokufunda ezisezingeni eliphakeme zabafundi nabasebenzi ukutadisha isayensi yedatha nobuchule bokufunda ngomshini futhi futhi kunikeza ikhodi edingekayo.

Lolu hlelo lokusebenza luhlanganisa imiqondo yePython, i-Machine Learning, Natural Language Processing, i-Computer Vision, ne-Deep Learning.
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Izici zalolu hlelo lokusebenza
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1. Funda imitapo yolwazi ehlukahlukene yesayensi (Numpy, Pandas, Scikit-Funda).
2. Ama-algorithm abalulekile e-ML anekhodi yePython.
a. Ukuguqulwa Okuqondile
b. Ukuhlehliswa Kwezinto
c. SVM
d. Ihlathi Elingahleliwe
e. I-XGBoost
f. K-kusho
g. I-PCA
3. Imiqondo Yokucubungula Ulimi Lwemvelo ichazwe ngokucacile ngekhodi
a. I-Tf-Idf
b. I-Word2vec
4. Deep Learning imiqondo esemqoka
a. Imisebenzi Yokuqalisa
b. I-Optimizers
c. I-CNN
d. I-RNN
5. Indlela yomsebenzi yokuba yiDatha Scientist.
6. Ukuqoqwa Kwamadathasethi Namamodeli Wokufunda Komshini Oqeqeshwe Ngaphambili
7. Iqoqo elimangalisayo lemibuzo ukusula ingxoxo yakho elandelayo ye-Data Scientist.

Uhlelo lokusebenza lwe- "Data Science Interview Pro" lunokusebenziseka okulula futhi okunembile komsebenzisi

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Landa lolu hlelo lokusebenza bese uqala uhambo lwakho oluya ku-Data Science.
Uma uluthanda ngempela lolu hlelo lokusebenza ungakhohlwa ukuluhlanganyela nabangani bakho.

Yini entsha

Added cheatsheets.
Added more sections in Python.