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Skiddles's user avatar
Skiddles's user avatar
Skiddles
  • Member for 7 years, 8 months
  • Last seen more than 2 years ago
8 votes

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

7 votes
Accepted

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

7 votes

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

3 votes

cross validation for small dataset

3 votes

Logistic regression cost function

2 votes

Discarding correlation among inputs in a neural network

2 votes

Does ensemble (bagging, boosting, stacking, etc) always at least increase performance?

2 votes

Nearest Neighbors on mixed data types in high dimensions

2 votes

Building predictive model with low correlated data

2 votes

Can ReLU replace a Sigmoid Activation Function in Neural Network

2 votes

Choosing between Regression and Classification

1 vote
Accepted

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

1 vote

Hesitate to drop a feature

1 vote

KNN with mixed data (feature set)

1 vote

filter a sequence of coordinates

1 vote

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

1 vote

Document similarity matching between Doc2Vec documents

1 vote

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

1 vote

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

1 vote

DeprecationWarning: The 'categorical_features' keyword is deprecated in version 0.20

1 vote

Use text similarity (cosine) instead of machine learning to classify companies into industries

1 vote

Capture pattern in python

1 vote

On a multi lingual sentiment corpus

1 vote

Standard Deviation for Z-scores

1 vote

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

1 vote
Accepted

Multi-Class Text Classification: Doc2Vec performing very bad compared to Hashing Vector

1 vote
Accepted

Finding outliers from multiple files

1 vote

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

1 vote

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

1 vote

What best/correct algorithm/procedure to cluster a dataset with a lot 0's?