Hands on Training on Machine Learning using Scikit

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.

 Introduction to machine learning, and how does it work
 Setting up Python for machine learning
 Getting started in scikit-learn with the famous iris dataset
 Data science pipeline & Cross-validation
 Evaluating a classification model

Dr.Kumar Rajamani, Manager, Robert Bosch, Bangalore

Last Date for Registration (Mail) : 12.09.2016
Receipt of Application with DD : 13.09.2016

Industry Delegates : Rs. 1000
Academicians/Research Scholars : Rs. 750
Students : Rs. 500
Interested aspirants shall send the filled in registration forms and DD in favour of: “The Coordinator, Seminar Grant, SNS College of Technology”, payable at Coimbatore.

SNS College of Technology
SNS Kalvi Nagar, Sathy Main Road,
Saravanampatti Post, Coimbatore -641 035,
Tamil Nadu. India