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Showing posts with the label Machine Learning

Rnn Model Predicting Only One Class?

I am trying to use GloVe embeddings to train a rnn model based on this article. I have a labeled da… Read more Rnn Model Predicting Only One Class?

Iterating Across Multiple Columns In Pandas Df And Slicing Dynamically

TLDR: How to iterate across all options of multiple columns in a pandas dataframe without specifyin… Read more Iterating Across Multiple Columns In Pandas Df And Slicing Dynamically

Keras' Fit_generator() For Binary Classification Predictions Always 50%

I have set up a model to train on classifying whether an image is a certain video game or not. I pr… Read more Keras' Fit_generator() For Binary Classification Predictions Always 50%

Classification Accuracy Based On Single Feature Set

I am trying to classify data based on prespecified labels. Got two columns and shown below: room_cl… Read more Classification Accuracy Based On Single Feature Set

No Module Named 'keras.legacy'

I am working on speech recognition where I have to use keras Optimizer. from keras.optimizers impor… Read more No Module Named 'keras.legacy'

How To Plot Pr-curve Over 10 Folds Of Cross Validation In Scikit-learn

I'm running some supervised experiments for a binary prediction problem. I'm using 10-fold … Read more How To Plot Pr-curve Over 10 Folds Of Cross Validation In Scikit-learn

What Are Common Sources Of Randomness In Machine Learning Projects With Keras?

Reproducibility is important. In a closed-source machine learning project I'm currently working… Read more What Are Common Sources Of Randomness In Machine Learning Projects With Keras?

How Do I Classify Documents With Scikitlearn Using Tfidfvectorizer?

The following example shows how one can train a classifier with the Sklearn 20 newsgroups data. >… Read more How Do I Classify Documents With Scikitlearn Using Tfidfvectorizer?