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karthikeyan mg's user avatar
karthikeyan mg's user avatar
karthikeyan mg's user avatar
karthikeyan mg
  • Member for 5 years, 5 months
  • Last seen more than a month ago
3 votes

Best practical algorithm for sentence similarity

0 votes
Accepted

Combining text (NLP), numeric, and categorical data for a regression problem

0 votes

Why is training and validation loss steadily rising (eventually to NaN) in this CNN of mine?

0 votes

Finding cosine similarity score

0 votes

Intuition behind the fact that SVM uses only measure of similarity between examples for classification

0 votes

is it possible to output more than 2 nodes away from a node in a decision tree? if yes, how to do that with sklearn?

0 votes

Can this problem be solved using deep learning?

-1 votes

Is there any machine learning algorithm that can solve this problem?

1 vote

Understanding Training and Test Loss Plots

2 votes

How to replace NaN values for image data?

0 votes

Why is random forest an improvement of decision tree?

2 votes

If we are using batch normalization as the first layer, can we forego standard scaling of inputs?

1 vote
Accepted

Will a Count vectorizer ever perform (slightly) better than tf-idf?

2 votes

Regression vs Random Forest - Combination of features

7 votes

KMeans vs. DBSCAN

0 votes

How do I use TF*IDF scores for my machine learning model?

25 votes

Why underfitting is called high bias and overfitting is called high variance?

0 votes
Accepted

Weight training breakdown in machine learning

0 votes

Curse of Dimensionality : How many dimensions is too many dimensions?

4 votes

Products classification by name

1 vote

Weights not converging while cost function has converged in neural networks

1 vote
Accepted

Need equations for some of weight initializers in tensorflow?

3 votes
Accepted

How to set hyperparameters in SVM classification

4 votes

When to use mean vs median

1 vote

Training cycles

1 vote

how does splitting occur at a node in a decision-tree with non-categorical data?

1 vote

How can we apply PCA to reduce dimensionality of a heterogenous dataset?

0 votes

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