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nimar's user avatar
nimar's user avatar
nimar
  • Member for 2 years, 7 months
  • Last seen more than a month ago
6 votes
Accepted

For imbalanced classification, should the validation dataset be balanced?

6 votes

How to handle Overfitting

3 votes

Which other algorithms fit residuals like XGBoost?

2 votes

Can setting of different thresholds help in model performance in case of handling class imbalances?

2 votes

How to prevent neural network from overfitting on small subset of features

2 votes

Continuous VS Categorical variable

2 votes

Categorical and non-categorical data in the same column

2 votes

Boosted tree regression loss function when data has occasionally very large values to predict?

1 vote

Linear regression: variables with high P-value

1 vote

How to get date columns in pandas?

1 vote

What causes the Shape (convex or non-convex) of the cost function?

1 vote

Convolutional Neural Network overfitting

1 vote
Accepted

XGBoost Objective is Changed

1 vote

Determine how each feature contribute to XGBoost Classification

1 vote

How should I choose n_features in FeatureHasher in sklearn?

1 vote

Random Forest vs Neural Networks

1 vote
Accepted

Why are RNNs used in some computer vision problems?

1 vote

Finding optimal threshold in multi-class classification task

1 vote
Accepted

Understanding Loss function and Learning Algorithm

1 vote

Linear regression with non-symmetric cost function?

1 vote

Linear Regression in Python using gradient descent

1 vote
Accepted

Multivariate Linear Regression with exponential trend-line

0 votes

Improving a basic neural network with only 3 input columns

0 votes
Accepted

How to understand the performance of different machine learning models?

0 votes

Comparing a column value to list of values and if it contains the value then assigning that list value to new Column

0 votes

Regression error increase after shuffing data

0 votes
Accepted

Cat Classifier becomes worse the more you train it

0 votes

Feature relevance in PCA + kmeans algorythm

0 votes
Accepted

Should dimensionality reduction be done before k-means clustering if there are many features?

0 votes

When would not normalizing input values have higher accuracy?