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Top 10 machine learning libraries
Numpy/Scipy: numpy.org Scikit-Learn: scikit-learn.org Keras: keras.io TensorFlow: tensorflow.org Theano: deeplearning.net/software/theano…
Tim Kamanin
Sep 27, 2017
Regression And Classification
Simply put regression is predicting values (price, speed, etc) and classification is predicting classes (category, type, yes/no, true /…
Tim Kamanin
Sep 23, 2017
How To Save Trained Model
Scikit-Learn offers a handy module for saving and loading trained models:
Tim Kamanin
Sep 23, 2017
Evaluating Model Performance via Cross-Validation
To measure regression model performance, we use RMSE which stands for Root Mean Squared Error. You can do this easily with Scikit-Learn…
Tim Kamanin
Sep 21, 2017
How To Split Pandas DataSet into Features and Labels
Let’s say you have a training data set as pandas data frame train_set. Before feeding it to a machine learning algorithm, you need to split…
Tim Kamanin
Sep 15, 2017
Visualize Pandas Data Easily With Matplotlib
Building a Matplotlib graph from your Pandas DataFrame is as easy as calling plot() method on your data:
Tim Kamanin
Sep 13, 2017
Splitting test and train data based on strata
When we split a dataset into test and train sets, we often use different tactics for splitting. Very often methods are based on random…
Tim Kamanin
Sep 12, 2017
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