user avatar
user avatar
user avatar
Archana David
  • Member for 1 year, 1 month
  • Last seen more than a week ago
7 votes
Accepted

What is the difference between one-hot and dummy encoding?

7 votes

How to setup and run Conda on Google Colab

2 votes
Accepted

Separate numerical and categorical variables

2 votes
Accepted

What is the best way to train a model?

2 votes

Algorithms to do a CTRL+F (find object) on an image

1 vote

Why are deep learning models unstable compare to machine learning models?

1 vote
Accepted

Resources on on-line machine learning

1 vote
Accepted

Cuda for PyTorch and Cuda for Tensorflow

1 vote

How can I choose num of epochs and batch size?

1 vote

Do i need to handle missing values before EDA?

1 vote
Accepted

How does missing data occur

1 vote
Accepted

A measure of redundancy in mutual information

1 vote
Accepted

Is it a good idea to use parallel coordinates for visualising outliers?

1 vote
Accepted

What is the difference between Multi task learning and domain generalization

1 vote
Accepted

Best choice for splitting data given a quantity and a expected accuracy

1 vote
Accepted

Predict next integer in sequence using ML.NET

1 vote

Question answering bot: EM>F1, does it make sense?

1 vote
Accepted

Improving text classification & labeling in imbalanced dataset

1 vote

Which machine learning model is best for a combination of numerical and categorical data?

1 vote
Accepted

Does GPU decreases training time for on-policy RL?

1 vote
Accepted

What does "S" in Shannon's entropy stands for?

1 vote

Warmup steps in deep learning

1 vote
Accepted

Reinforcement learning algorithms

0 votes

One-hot-encoded variables dominating clustering

0 votes

Classification when the classification of the previous itens matter

0 votes

Predicting Disease Drugs

0 votes
Accepted

Deep Neural Network Model in sklearn Pipeline

0 votes

Do we need to pre-process both the test and train data set?

0 votes

Transferring the hidden state of a RNN to another RNN

0 votes

Unsupervised Clustering using K-Modes