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Machine Learning with SciKit Learn
Scikit-learn (http://scikit-learn.org/) has emerged as one of the most popular open source machine learning toolkits, now widely used in academia and industry. Scikit-Learn provides easy-to-use interfaces in Python to perform advanced analysis and build powerful predictive models. This talk will give an overview of the library and introduce general machine learning concepts such as supervised and unsupervised learning, feature extraction, cross validation for model evaluation and hyper parameter selection. We will do hands-on using Scikit-learn and build some classification models using example datasets.
Basic knowledge of Python.
Basic understanding of statistics.
Please bring a charged laptop with following software installed on it. There will be less number of charging points.
iPython, Numpy, Pandas, Matplotlib , Scikit-learn
Anaconda Python: https://www.continuum.io/downloads
About Sudarshan Gadhave
He is a Data Engineer and Data Science Enthusiast working with NEC Corporation of America (NEC Japan). He has completed B.E. (Computers) from Pune University and has 6 years of IT experience. His skillset includes Data Warehousing, Data Integration, Data analysis, Python, R Programming, Tableau, Feature Engineering and Machine Learning.
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