Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

Linear Boosting is a two stage learning ... a new binary feature to be used in the first stage. The iterations continue until a certain stopping criterion is met. The module depends on NumPy, SciPy ...

which can be used to solve regression problems. Previous studies showed that feature ordering is crucial to IAL, and features should be sorted by some criteria. This study proposed two new feature ...

Creating a water feature in your yard used to be difficult back in the day when lath and plaster or concrete were used for construction. We now have pre-formed pools and pond liners that make it a ...

We formulate a linear regression model for estimating each speaker based on features derived from the mixture. The employed feature representation is a sparse, non-negative encoding of the speech ...

During its inaugural developer conference Thursday, Anthropic launched two new AI models that the startup claims are among the industry’s best, at least in terms of how they score on popular ...

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical ...