geegatomar

In the latest version of scikit-learn (version 0.23.1), there is nothing named "fetch_mldata()". (That was present in the previous version of 0.19. ) In the latest version, we need to...

There are 3 main methods for outlier detection: 1. Quantile method (using percentiles) 2. z-score and standard deviation 3. IQR method

Hi, can I work on this? Can I please get more information on what is the requirement precisely?

In model.compile(), you shall specify the metrics as: `model.compile(loss="categorical_crossentropy", optimizer=sgd, metrics=["accuracy"])` And then, The correct working code is: `H.history["accuracy"]` and `H.history["val_accuracy"]` ( Previously I was using H.history["acc"] and H.history["val_acc"] ,...

Hi, can I work on fixing this?