Data Science
Profile Activity
Meta user
Network profile
Shiv
Summary Answers Questions Tags Badges Bookmarks Bounties Reputation All actions

23 Answers

Votes Activity Newest
3
Hello, when i'm training my model with 80% data and testing with 20% data the accuracy is 49% and without split it's 99%
Sep 15 at 18:31
3
Treating missing data in categorical features
Aug 23 at 20:39
2
Is it better to use separately regularization methods for Neural Networks (L2/L1 & Dropout)
Oct 30 at 9:42
2
Why does a simpler model performs better than a complicated one?
Oct 7 at 6:53
2
Probability of an event
Aug 19 at 6:02
1
How much GPUs are needed for Image ehancement?
Nov 2 at 6:31
1
High validation loss, high validation accuracy
Sep 15 at 7:37
1
Is it bad to have a lot of one class of Data [K-NN classifier]?
Aug 26 at 18:32
1
Low precision on classification model
Aug 18 at 19:46
1
Which is the “BEST” deep learning model for “Custom” object detection for images & real time. YOLO v3, v4, v5, EfficientDet?
Aug 13 at 18:31
0
Logic behind pre-trained weights and transfer learning
Nov 19 at 7:29
0
Is it possible the model be better on a few epochs rather than hundreds of epochs?
Nov 3 at 14:08
0
Does a NN/DNN learn only weights and biases?
Nov 2 at 7:29
0
How do I make a labelled line chart?
Oct 29 at 9:42
0
why the sigmoid function will be 1 and 0 if we use a fully connected layer that produce a big enough positive(res negative )output
Oct 9 at 6:48
0
Network Size in neural network
Sep 12 at 5:49
0
Improving Keras Training Accuracy
Aug 23 at 20:30
0
How to give a 3D Tensor as input to LSTM
Aug 23 at 20:49
0
Returned loss value is different than the loss printed with verbose
Aug 23 at 20:19
0
Is it ok to use photo collages as dataset instead of single images for training the object detection ssd model?
Aug 20 at 6:18
0
How to predict when an appointment will be scheduled?
Aug 20 at 5:52
0
Does LSTM without delayed inputs work as a deep net?
Aug 19 at 6:26
0
how can i create a sentiment analysis model and use it on dataframe
Aug 19 at 6:16