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They introduce two primary data structures, Series and Data Frames, which facilitate handling structured data seamlessly. With Pandas, you can easily clean, transform, and analyse data. Perform exploratory Data Analysis (EDA) using Pandas and visualise your findings with Matplotlib or Seaborn.
Diagnostic Analytics Projects: Diagnostic analytics seeks to determine the reasons behind specific events or patterns observed in the data. 3. Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes.
D Data Mining : The process of discovering patterns, insights, and knowledge from large datasets using various techniques such as classification, clustering, and association rule learning. DataWrangling: The cleaning, transforming, and structuring of raw data into a format suitable for analysis.
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