Data Science Interview Questions | Day 21 | Text Mining & NLP
This video playlist on “Data Science Interview Questions” will help you understand and deliver real-time Data Science Interview scenarios. As Data Scientists, Machine Learning experts you will gain knowledge on what is expected out of you in Data Science Interviews, here you will learn to encounter Dos and Don’ts in your Data Science Interview.
In this video, Interviewee emphasizes on Data and Data Preprocessing techniques and topics related to Text Mining and NLP concepts. Further, we will cover data preprocessing like stemming, lemmatization, stop word removal, etc. Vectorization is another process that applies to textual data. In addition, we will talk about NLP Modelling and evaluation. Data analysis slightly differs from cross-sectional data.
You will learn how to communicate on Data Science Projects, and how to explain each phase of CRISP ML Q without having to talk about it exclusively. Further in this video playlist, you will learn questions and answers as well as a discussion related to the topic of Hierarchical Clustering and the sub-category Agglomerative Clustering too. Further Non-Hierarchical clustering such as K means, and DBSCAN clustering also covered.
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