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About Python Training Report (ML)
The document describes a machine learning project undertaken by Tanveer Singh during a 4-week training at Udemy. The project involved predicting iris flower species ('setosa', 'versicolor', or 'virginica') based on sepal/petal length and width attributes, using the well-known Iris dataset. Key steps included importing and cleaning the data, then exploring supervised machine learning algorithms like KNN, Logistic Regression, Decision Trees, and Naive Bayes to build predictive models using Python libraries. The goal of the project was to gain hands-on experience applying machine learning to a real-world dataset.
Detailed Information
| Author: | ['Harwinder Singh Sekhon'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 19 |
| Language: | English |
| Format: | |
| Price: | FREE |
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