A comprehensive repository tracking my journey and hands-on practice with foundational Data Science libraries: NumPy, Pandas, Matplotlib, and Seaborn. Core implementation of data manipulation, cleaning, and visualization techniques using Python's data science ecosystem.
To master the core Python ecosystem for Data Science, focusing on data cleaning, preprocessing, and statistical visualization, acting as a stepping stone for advanced Machine Learning algorithms.
Numpy : Mathematical computing and array operations.
01_Numpy:Basic array creations, broadcasting, and matrix operations.
02_Pandas_Series:A collection of practical exercises focused on exploring, cleaning, and manipulating data with Pandas Series.
03_Pandas_Dataframe_Basic_Operations: A collection of practical exercises focused on exploring, cleaning, and manipulating data with Pandas Series.The Datasets are provided by Campusx