DataHour: Exploring Dimensionality Reduction

DataHour: Exploring Dimensionality Reduction

26 Apr 202315:04pm - 26 Apr 202316:04pm

DataHour: Exploring Dimensionality Reduction

About the Event

In this DataHour session, we will be discussing the topic of Dimensionality Reduction, an important technique in the field of machine learning and data science. In this session, we will cover the definition and the importance of Dimensionality Reduction. We will also discuss the two popular types of Dimensionality Reduction techniques, Principal Component Analysis (PCA) and t-distributed Stochastic Neighbor Embedding (t-SNE). 

The speaker will provide a detailed explanation of these techniques, along with their calculation and use cases. Moreover, we will also discuss the advantages and disadvantages of PCA and t-SNE. Finally, we will briefly touch upon other Dimensionality Reduction Techniques such as LLE, MDS, and Isomap. So, let's get started and explore the world of Dimensionality Reduction.


Prerequisites: 
The zeal for learning new technologies, and good to have a basic knowledge of Data Science. 

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Who is this DataHour for?

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About the Speaker

Sumit Patel

Sumit Patel

Data Scientist at PayPal

Currently working as a Data Scientist at PayPal, Sumit holds 5.5 years of experience in the Data field. He began his professional journey following his graduation in Civil Engineering from PEC University of Technology, Chandigarh, and a post-graduation in Marketing and Operations from Symbiosis Institute of Management Studies, Pune.During the Covid Lockdown, Sumit delved into the realms of Machine Learning and Data Science, exploring numerous learning platforms and completing over 25 hands-on projects encompassing various models such as Supervised and Unsupervised Learning, Neural Networks, Recommendation Systems, and Anomaly Detection Systems.

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