hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.
Machine Learning Algorithms
An automated cross-validation framework for machine learning models, offering streamlined and efficient model evaluation.
This repository containes one of the assignments I have submitted for my Machine Learning Course, precisely it containes the code to address a classification tasks using Sklearn and Support Vector Machines!
Huffman Algorithm | Python | Makefile | Ubuntu | VMware | PyCharm
Forecasting pipeline for python
Implemented SVC on the Olivetti dataset to predict if a person is wearing glasses or not by using cross-validation techniques in depth.
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