Fix my Django Application using PCA/Sklearn Model to predict new input
$30-250 AUD
Pagato alla consegna
All application is working.
The logic of the application is, to classify the user input, which they provide, and classify them
as 0 or 1.
I am using PCA (n_components = 25) which take train data and convert it to pca(n=25), this is model input, but what it does in real time,
it take user inputs and feed them to predict directly, and the features are totally different and it always classify any instance to 1 always and but what happens is the user input, is when it predicts in real time, it did not convert it to pca, and just send to model to predict and thereby, it always predicts recurrence , even in non-recurence instances.
Also, the index of the input is mismatched. nd that is why, it predicts all to one class.
Please add, understood in your bid, if you have read the task. Thanks.
Rif. progetto: #19031124
Info sul progetto
4 freelance hanno fatto un'offerta media di $143 per questo lavoro
Dear sir. Your project attracted my attention at first glance, because I've extensive experience in PCA & Sklearn Programming. I'm really confident about your project, and very eager to join your project. If we have Altro
First:- Chatbot --> This can be integrated by any Facebook page, Slack etc. Its main aim is to reduce the human effort. For example, if this Chatbot is integrated with company page so it can easily answer you some b Altro
understood Based on my understanding of your problem, here is how I would solve it (BTW, it sounds like you already know all this, not sure why you need someone else to do it): The parameters from the PCA need to b Altro
HELLO MY NAME IS FAISAL AND I HAVE WORKED AT GOOGLE AS A MACHINE LEARNING ENGINEER I CAN HELP WITH THAT I AM NEW TO FREELANCER SO I AM BIDDING LOW FAISAL