Data Science Stack Exchange

0

votes

0

answers

2

views

Meaning of weights from a 1D convolutional network

classification time-series cnn visualization

asked 1 min ago B. Erickson 1

0

votes

0

answers

4

views

predict future value in every one hour using (t+60 minutes) LSTM neural network in python

python neural-network tensorflow regression lstm

asked 54 mins ago kas 40

0

votes

0

answers

2

views

Any cluster algo can cluster time series datasets based on variation ratio(or quantity)?

machine-learning scikit-learn clustering

asked 55 mins ago code_worker 6

0

votes

0

answers

3

views

Protein interaction prediction- how to input this data structure

asked 1 hour ago Srishti M 167

0

votes

0

answers

4

views

How does fully connected layer predict bounding box in CNN intuitively?

cnn

asked 1 hour ago Alex Luya 106

0

votes

0

answers

2

views

When immigrate from DP to MDP and when we immigrate from a MDP (Q-learning) to DQN?

reinforcement-learning q-learning dqn

asked 1 hour ago user10296606 195

0

votes

0

answers

4

views

input and output of DQN

deep-learning q-learning dqn

modified 2 hours ago user10296606 195

0

votes

0

answers

3

views

Ordinal classification with xgboost

xgboost

asked 3 hours ago mommomonthewind 101

0

votes

0

answers

3

views

How to structure a scikit-learn machine learning project for predicting sports outcomes?

machine-learning scikit-learn online-learning sports

asked 4 hours ago Josh Reback 1

0

votes

1

answer

13

views

Methods for augmenting binary datasets

data-augmentation smote boosting

modified 4 hours ago Community♦ 1

2

votes

1

answer

28

views

Should I rescale tfidf features?

nlp feature-engineering feature-scaling tfidf

modified 5 hours ago Community♦ 1

0

votes

2

answers

65

views

Statistical inference on a very small datasets

predictive-modeling statistics bayesian

modified 5 hours ago b-shields 1

1

vote

1

answer

40

views

Not sure if over-fitting

machine-learning classification scikit-learn overfitting

modified 6 hours ago Community♦ 1

0

votes

1

answer

8

views

Test for heteroscedasticity in time series

time-series statistics

answered 6 hours ago oW_ 2,992

Stack Exchange Network

current community

your communities

more stack exchange communities

Explore Our Questions

Meaning of weights from a 1D convolutional network

predict future value in every one hour using (t+60 minutes) LSTM neural network in python

Any cluster algo can cluster time series datasets based on variation ratio(or quantity)?

Protein interaction prediction- how to input this data structure

How does fully connected layer predict bounding box in CNN intuitively?

When immigrate from DP to MDP and when we immigrate from a MDP (Q-learning) to DQN?

input and output of DQN

Ordinal classification with xgboost

How to structure a scikit-learn machine learning project for predicting sports outcomes?

Methods for augmenting binary datasets

Should I rescale tfidf features?

Statistical inference on a very small datasets

Not sure if over-fitting

Test for heteroscedasticity in time series

Hot Network Questions