Description:

Data visualization is the presentation of data in a pictorial or graphical format. It enables decision makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns. With interactive visualization, you can take the concept a step further by using technology to drill down into charts and graphs for more detail, interactively changing what data you see and how it’s processed.

The aim of the workshop is make you familiar with Data Science and PYTHON LIBRARIES making graphs and Basics Of MACHINE LEARNING.

Jupyter Notebooks is one such platform to perform and actively test these skills.

A machine learning project may not be linear, but it has a number of well known steps:

Define Problem. Prepare Data. Evaluate Algorithms. Improve Results. Present Results.

AND

Data Science Skills sets:

Programming ( Just know how to code a problem !) Statistics/Mathematics Visualization Communication

What will be covered in workshop:

• How to INSTALL and USE

Jupyter Notebook

Numpy

Pandas

Scikit Learn

BONUS:: NLP( Natural language Processing ) Using nltk

• Working on some big data Sets
• Applying ML algorithms on these Data Sets

Prerequisites:

Familiarity with Python and programming

Content URLs:

https://docs.scipy.org/doc/numpy-dev/user/quickstart.html

https://bitbucket.org/hrojas/learn-pandas

http://jupyter.org/

http://www.nltk.org/book/

Speaker Info:

I Ayush Srivastava a CSE student from Jaypee University Of Engineering and Technology ,Madhya Pradesh,

working in the field of Data Science , Machine Learning , Deep Learning and AI . I have Undertaken real life projects and currently

developing some ML algorithms for my Projects.

Speaker Links:

https://www.linkedin.com/in/ayush-srivastava

https://github.com/rikudoayush