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Implement a simple Bernoulli Naïve Bayes Classifier using Python

Very easy project for someone well versed in machine learning should not take more than an hour. You need to implement a simple Naive Bayes classifier using the Bernoulli model. No preexisting libraries are to be used except NumPy which may be used where needed. Data set is provided.

Please contact me as soon as possible if you fit the bill.

Skills: Machine Learning, Python

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About the Employer:
( 0 reviews ) Lahore, Pakistan

Project ID: #16764490

Awarded to:

$35 USD in 10 days
(4 Reviews)

5 freelancers are bidding on average $31 for this job


Hello. I am familiar with machine learning algorithms and this is simple task. I can do it for you. Hope to work with u.

$35 USD in 1 day
(12 Reviews)

Greetings, I have extensive experience with advanced machine learning and python. Please see my profile. Kind Regards

$35 USD in 1 day
(6 Reviews)

i can develop this for you i have an experience of 1.5-2 years in this field sir i did projects like this kindly reply i want to discuss it with you

$20 USD in 1 day
(1 Review)

A proposal has not yet been provided

$30 USD in 2 days
(0 Reviews)