Best Practices in Time Series Analysis
Details
Time series data analysis is an evolving area of interest for data scientists and extensive research is being done to explore the way we apply machine learning on these data sets.
We, as an organization, work in several projects which require analysis and understanding of a time series data set.
This session will focus on translating that into practical knowledge and sharing it through a hands on session.
Key takeaways:
- Introduction to time series concepts
- Cleaning up of time series of data
- Best practices while handling time series data
- Practical implementation to carry out above steps
- Presentation slides and Jupyter notebook used in session
Pre requisites:
- Basic Python programming
- Introductory Machine Learning and Statistics concepts
Software: -
- Anaconda3 with Jupyter notebook
How to install: http://docs.anaconda.com/anaconda/install/windows/ - Required libraries: numpy, pandas, matplotlib, scipy, sklearn (in case they are not pre-installed in Anaconda)
Please fill the below form to confirm your registration.
https://bit.ly/2Hl4vUI
Seats are limited for this event but registration is open. Selected Attendees will be informed.
ACT NOW!
Happy Coding :-)