Santhoshkumar S., M.S(SE).,Ph.D
A researcher, developer, and writer
- Cologne, Germany
- Eurowings Digital GmbH
- Github
- Google Scholar
- ORCID
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Performance Metrics in Machine Learning – Part 2
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To prove the effectiveness of any method, we need to check it’s performance. We must measure how well it performed during its evaluation. Machine learning also has no difference in this. There are various performance measures and metrics to measure the effectiveness of a solution.
Performance Metrics in Machine Learning – Part 1
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Published:
To prove the effectiveness of any method, we need to check it’s performance. We must measure how well it performed during its evaluation. Machine learning also has no difference in this. There are various performance measures and metrics to measure the effectiveness of a solution. Read here: Blog Post
Data Collection into Google Drive
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Data collection is one of the tougher task in data analysis and data science. Collecting data from various sources and storing in a particular database is important to start the analysis. Read here: Blog Post
Supervised learning: Linear Regression
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Linear Regression is a supervised learning model that predicts a continues value through linear function. Here, hypothesis is generated as a prediction function. Hypothesis is a function of input value that provides the predicted output value for given input. Read here: Blog Post