8
machine-learning
× 16 |
2
rnn
|
1
hyperparameter-tuning
|
1
epochs
|
6
cnn
× 9 |
2
feature-engineering
|
1
gridsearchcv
|
1
books
|
6
deep-learning
× 8 |
1
preprocessing
× 3 |
1
bias
|
1
multiclass-classification
|
5
keras
× 11 |
1
pandas
× 3 |
1
variance
|
1
interpolation
|
5
neural-network
× 9 |
1
data
× 2 |
1
machine-learning-model
|
1
numpy
|
3
python
× 8 |
1
convnet
× 2 |
1
feature-scaling
|
0
prediction
× 2 |
3
classification
× 5 |
1
statistics
× 2 |
1
dataset
|
0
regression
|
3
gradient-descent
× 3 |
1
gpu
× 2 |
1
activation-function
|
0
loss-function
|
3
overfitting
× 3 |
1
data-cleaning
× 2 |
1
computer-vision
|
0
evaluation
|
2
tensorflow
× 7 |
1
time-series
× 2 |
1
optimization
|
0
dataframe
|
2
lstm
× 3 |
1
image-classification
× 2 |
1
dropout
|
0
encoding
|
2
categorical-data
× 2 |
1
model-selection
× 2 |
1
data-science-model
|
0
vgg16
|
2
sequence
|
1
grid-search
|
1
linear-algebra
|
0
scikit-learn
|
serali
