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5 Lessons

Data Exploration and Preprocessing

Focus on this chapter's key concepts. Dive into each topic for a detailed understanding with examples and structured notes.

Handling missing data and outliers

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1 of 5 Lessons

Data transformation, scaling, and normalization

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2 of 5 Lessons

Exploratory Data Analysis (EDA) techniques

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3 of 5 Lessons

Feature engineering methodologies

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4 of 5 Lessons

Data visualization principles and libraries (Matplotlib, Seaborn)

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Data Exploration and Preprocessing - Data Science and Big Data Analytics | M.Tech Computer Science