Implementation questions about data science.
Question In this datafile, the United States is broken up into four regions using the "REGION" column. Create a query …
python database pandas data-scienceWhat is the difference between the two? It seems that both create new columns, which their number is equal to …
python encoding scikit-learn data-science categorical-dataThis is my code that works if I use other activation layers like tanh: model = Sequential() act = keras.layers.advanced_…
python machine-learning neural-network keras data-scienceWhat is the difference between MinMaxScaler and standard scaler. MMS= MinMaxScaler(feature_range = (0, 1)) ( Used in Program1) sc = StandardScaler() ( In another …
python data-scienceI want to separate my data into train and test set, should I apply normalization over data before or after …
machine-learning data-science normalization training-data train-test-splitI don't understand which accuracy in the output to use to compare my 2 Keras models to see which one is …
python machine-learning keras data-scienceI have just built my first model using Keras and this is the output. It looks like the standard output …
python machine-learning neural-network keras data-scienceI'm using Python and I need to split my .csv imported data in two parts, a training and test set, …
python csv split data-scienceHow can I input data into keras? What is the structure? Specifically what is the x_train and y_train …
neural-network keras data-sciencei am trying to do hyperparemeter search with using scikit-learn's GridSearchCV on XGBoost. During gridsearch i'd like it to early …
python-3.x scikit-learn regression data-science xgboost