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Machine learning is about learning some properties of a data set and applying them to new data. To evaluate an algorithm is to split the data at hand into two sets, one that we call the training set on which we learn data properties and one that we call the testing set on which we test these properties. Scikit is Simple and efficient tools for data mining and data analysis. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.
ïƒ˜ Introduction to machine learning, and how does it work
ïƒ˜ Setting up Python for machine learning
ïƒ˜ Getting started in scikit-learn with the famous iris dataset
ïƒ˜ Data science pipeline & Cross-validation
ïƒ˜ Evaluating a classification model
Dr.Kumar Rajamani, Manager, Robert Bosch, Bangalore
How to reach SNS College of Technology, Coimbatore
SNS College of Technology
SNS Kalvi Nagar, Sathy Main Road,
Saravanampatti Post, Coimbatore -641 035,
Tamil Nadu. India
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