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simulate tabular data with categorical features for binary classification

do not forget include dependency between features and features and target

simulate data by yourself with predefined patterns,

for example

data 1 million rows for example 20 categorical features each feature has unique 570 categorical values

then in average

140 observations for one unique value

140~ = 100000 / 570

for example these may be not good:

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**** MAIN DIFFICULTY IS SMALL NUMBER OF OBSERVATIONS FOR EACH UNIQUE VALUE and patterns in data ***

it is much more complicated than

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since predefined patterns are needed

key part is dependency

1

between features

2

features and target

Kemahiran: Python, Machine Learning (ML), Matematik, Simulation, Analisis Statistik

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Tentang Majikan:
( 5 ulasan ) Toronto, Canada

ID Projek: #29370152

9 pekerja bebas membida secara purata $147 untuk pekerjaan ini

ibrahimanjum330

Hi, I am Ibrahim, and I am a data scientist, I am expert in python, I can help you with 1 million rows and 570 features, are these based on dummies, please elaborate in chat. Regards, Ibrahim Anjum

$50 USD dalam 3 hari
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6.2
qaisrani123

HI, I am experienced data scientist and machine learning engineer. I used statistical analysis of the data and make prediction based on ML algorithms.I can handle computer vision and NLP tasks using Python(Tensorflow, Lagi

$140 USD dalam 3 hari
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5.6
sajjadtaghvaeifr

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$140 USD dalam 7 hari
(28 Ulasan)
5.5
ahmedelhelow

Hi bro, I am Ahmed. I have a Master's degree in Computer Science from Europe. I can perfectly and immediately do your binary classification task for categorical features. I have just finished a related task. I am a Ma Lagi

$140 USD dalam 3 hari
(18 Ulasan)
5.0
hsh564cf84accd96

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4.5
nibeditad007

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Alishoaib786

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and88x

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saadtariq329

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