AlgoXpress
Reference Framework
AlgoXpress is a repository of 150+ ready reference data science algorithms.
AlgoXpress is a repository of 150+ ready reference data science algorithms. Search algorithm was carefully optimized for data related keywords. Its integration with automated code library have significantly minimized the searching and implementation time. This tool generates better understanding the right algorithm based on the specific problem statement and data, saving time in implementation and a go-to source for all the Data Science queries.
Solution Need
To select and employ the suitable algorithm
To understand the usability of algorithms
To get algorithm recommendation best suited for a specified business problem
Building strategies to tune the model parameters
To accelerate the solution development from a set of diverse statistical algorithms
Features
150+ Data Science Algorithm Library
Keyword based search
Auto populate a detailed outlook
Expeditious algorithm comparison
Benefits
Ready to use Machine Learning codes for implementation
Model optimization through diverse information available for viable applications
Effortless tuning of hyper parameters
Increased performance due to reduction in model building time by 30%
Technology Stack
PowerBI, Python, Jupyter Lab