Useful tips for everyday
How can I predict my next purchase date? Machine Learning model to predict when the customers will make their next purchase Know Your Metrics. Customer…
What is a TF tensor? Tensor object. All elements are of a single known data type. When writing a TensorFlow program, the main object that…
What are some of the essential attributes that are required to build K mean clusters? In K-Means, each cluster is associated with a centroid….Stopping Criteria…
When to use 0 or 0 in labelbinarizer? Parameter names mapped to their values. Transform binary labels back to multi-class labels. Target values. All sparse…
What is random splitting? A random split will split a cluster across sets, causing skew. A simple approach to fixing this problem would be to…
How do I make a Google knowledge graph? How do I get in Google’s Knowledge Graph? Create a page on Wikipedia. Wikipedia is the authoritative…
How do I export my SKLearn model? If you use scikit-learn to train a model, you may export it in one of two ways: Use…
What is item based recommendation? Item-item collaborative filtering, or item-based, or item-to-item, is a form of collaborative filtering for recommender systems based on the similarity…
What does a low precision mean? Also, a low precision essentially means that the classifier returns a lot of false positives. This however might not…
How is DBSCAN clustering used in data science? Using DBSCAN to identify employee… | by Kamil Mysiak | Towards Data Science Density-based spatial clustering of…