PyCon Pune 2017

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

Outline

Below are some of the highlights of this talk...

• Basics of Machine Learning and Examples

• Types of Machine Learning

• Scikit-Learn basics

• Supervised Learning & unsupervised Learning

• Feature extraction , cross validation

• Hyperparamter selection

• Model evaluation

Speaker bio

I am a Data Engineer and Data Science Enthusiast working with NEC Corporation of America (NEC Japan). I have completed B.E. in computers from Pune University and have total 6+ years of IT experience. My skillset includes Data Warehousing, Data Integration, Data analysis, Python, R Programming, Tableau, Feature Engineering and Machine Learning. I have been active part of Python Pune group and have conducted several sessions on Data Analysis and Machine Learning.