Visualizations play an essential role in the exploratory data analysis activity of machine learning. You can plot confusion matrix using the confusion_matrix() method from sklearn.metrics package. Why Confusion Matrix? After … Read more →
Sklearn datasets become handy for learning machine learning concepts. When using the sklearn datasets, you may need to convert them to pandas dataframe for manipulating and cleaning the data. You … Read more →
Numpy arrays are a grid of values of the same type. You can use these arrays to store a list of values that needs to be used for data analysis … Read more →
Normalization of data is transforming the data to appear on the same scale across all the records. You can normalize data between 0 and 1 range by using the formula … Read more →
In machine learning, Train Test split activity is done to measure the performance of the machine learning algorithm when they are used to predict the new data which is not … Read more →
Machine learning models are created for classifying or predicting future data. To use it for predicting the future data, these models must be saved into the disk, so that they … Read more →
SageMaker provides the compute capacity to build, train and deploy ML models. You can load data from AWS S3 to SageMaker to create, train and deploy models in SageMaker. You … Read more →