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Share Your Experience: Take the 2024 Developer Survey
Skiddles's user avatar
Skiddles's user avatar
Skiddles's user avatar
Skiddles
  • Member for 7 years, 9 months
  • Last seen more than 2 years ago
1 vote

KNN with mixed data (feature set)

-1 votes

Unable to learn weights of a Word2Vec model

0 votes

How to test dev set on Time Series data via forecasting

0 votes
Accepted

How to scale or standardize data that is mostly 0 (ranges from 0-1)?

1 vote
Accepted

How to classify images Neural Network didn't trained to Understand

2 votes

Choosing between Regression and Classification

0 votes

Why normalization kills my accuracy

0 votes

Split unprocessed dataset into train and test sets

1 vote

If Deep learning or Machine learning is blackbox then why companies are still investing?

0 votes
Accepted

How can I use a class variable with many possible values in logistic regression?

1 vote

filter a sequence of coordinates

8 votes

Should I remove outliers if accuracy and Cross-Validation Score drop after removing them?

1 vote

Hesitate to drop a feature

0 votes

Best way to narrow down a list and rank based on attributes?

0 votes

Can you learn an algorithm from a trained model?

1 vote

What does the "randomly shuffle training samples" in stochastic gradient descent attain?

1 vote

Possible reasons for word2vec learning context words as most similar rather than words in similar contexts

1 vote

Document similarity matching between Doc2Vec documents

0 votes

Predict the probability that a user is active on a website

7 votes

How to calculate time difference in between rows using loop in panda python

3 votes

cross validation for small dataset

0 votes

Features selection in KNN

1 vote
Accepted

Finding outliers from multiple files

2 votes

Building predictive model with low correlated data

1 vote

What's a good machine learning model for an univariate data set?

1 vote

During a regression task, I am getting low R^2 values, but elementwise difference between test set and prediction values is huge

2 votes

Nearest Neighbors on mixed data types in high dimensions

0 votes
Accepted

Can random forest algorithm provide customer churn prediction probability at each customer instead at class level?

1 vote

Feasibility: train a model to learn how to extract data from documents

7 votes
Accepted

In a binary classification, should the test dataset be balanced?