Machine Learning using PySpark for Text Data Analysis


In this session, unsupervised Machine Learning algorithms like Cluster Analysis and recommendation System and supervised Machine Learning algorithms like Random Forest, Decision Tree, Bagging and Boosting will be discussed for doing analysis using PySpark. The main feature of this workshop will be the implementation of these algorithms using the Text Data. Considering the importance of reviews and text data available on social media platforms, the availability and importance of text data analysis has grown multifold. The session will be particularly helpful for startups and existing business who wanted to use AI for improving performance.

Basic Knowledge of Python is prerequisite


Bharti Motwani is the sole author of many books “Data Analytics with R” (Wiley), “Data Analytics using Python” (Wiley), “HR Analytics: Practical Approach using Python” (Wiley), “Machine Learning for Text and Image data: Practical Approach with Business Use Cases” (Wiley) etc. Ambitious and analytical professional; IT and analytics consultant and corporate trainer; Result driven and articulate academician who can think “out of the box”, with more than 25 years of experience in teaching at professional and premium institutes at global level, research and software development. Demonstrated proficiency in writing books, editing and reviewing journals, and writing more than 50 research papers in leading international and national journals.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

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