Unofficial but extremely useful Label and One Hot encoders.
Database management and data analytics from a car-sharing dataset. The dataset contains information about the customers' demand rate between January 2017 and August 2018.
This project focuses on analyzing patient feedback regarding the treatment provided by home healthcare service agencies.
📶In this repository, we will do feature engineering with Python.
The primary goal of this project is to convert free users of a financial tracking app into paid members. This conversion will be achieved by building a model that identifies users who are unlikely to enroll in the paid version of the app.
Supervised Machine Learning methods (Random Forest and SGD Classifier) to classify short conversations extracted from Reddit
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