An interactive visual web interface to operate and get metrics and data related with different Freestyle microservices.
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Updated
Mar 6, 2018 - TypeScript
An interactive visual web interface to operate and get metrics and data related with different Freestyle microservices.
The project aimes to group the different types of customers in a mall using the K-Means clustering technique
How to increase visibility of a system using Grafana and RED metrics
Tool to show software code quality metrics, measured by PHP Depend, in console and CI/CD
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This GitHub repository contains a comprehensive analysis of the popular Iris dataset using various machine learning algorithms, including Logistic Regression, Support Vector Machines (SVM), and Random Forest. Additionally, it explores the impact of different data split ratios (80-10-10 vs. 60-20-20) on model performance.
# About This Repository Welcome to my Machine Learning Showcase repository! Here, I present an array of projects that delve into the captivating world of data science and machine learning. From exploratory data analysis (EDA) to an ensemble of algorithms, each project embodies my dedication to unraveling insights from data. ## What to Expect ###
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