The training was performed from 1st November 2020 to 30th November 2020.
- Writing codes to collect, crunch and analyze data from internal and external sources.
- Building and tuning machine learning models using R, Python, and sci-kit-learn.
- Creating linkages between various data within business intelligence software to enable predictive modeling and trend analysis on a given dataset.
- Using BI tools such as Tableau, PowerBI to analyze data, find important patterns, and design visualization dashboards on the given dataset.
- Working in an agile environment as part of an interdisciplinary development team on the implementation of those ideas.
| Tasks | Skills Acquired |
|---|---|
| Prediction using Supervised ML | Python, Numpy |
| Prediction using Unsupervised ML | Scikit Learn |
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