Summary
Summary main code
- Course
- Institution
This is a summary of the main code of python, pandas and machine learning. This summary may be used during the exam.
[Show more]
Seller
Followlincydegroote
Reviews received
Content preview
ContentsGaussian Naïve Bayes.............................................................................................................................1
Random Forest.......................................................................................................................................2
logistic Regression..................................................................................................................................3
Ensemble................................................................................................................................................4
Linear regression....................................................................................................................................5
Plotting...................................................................................................................................................7
NLP.........................................................................................................................................................9
ANN.....................................................................................................................................................12
CNN......................................................................................................................................................16
Python Introduction/ Pandas................................................................................................................21
Gaussian Naïve Bayes
!! alle waarden moeten reële getallen zijn
Bv. Male female omzetten naar 0 en 1
Maak train en test sets aan
o Survived moet je vervangen door de kolom die je wil bekijken
Bereken de accuracy
Bepaal rappel en precisie (false negative rate)
1
,Random Forest
N_estimators = aantal bomen
Belangrijkheid per klasse weergeven
2
, # we now combine those two collections into a dataframe
pd.DataFrame(model.feature_importances_,columns=['Importance'],index=X_train.columns).sort_va
lues(by='Importance',ascending=False)
logistic Regression
3
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller lincydegroote. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $4.83. You're not tied to anything after your purchase.
Can Stuvia be trusted?
4.6 stars on Google & Trustpilot (+1000 reviews)
52510 documents were sold in the last 30 days
Founded in 2010, the go-to place to buy study notes for 14 years now