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1. Base_Python Base_Python Public

   Beginner-friendly Python practice covering core concepts, syntax, and problem-solving through hands-on examples.

   Jupyter Notebook 4

2. Matplotlib Matplotlib Public

   Learning Matplotlib to create basic and intermediate data visualizations such as line, bar, and scatter plots.

   Jupyter Notebook 3

3. Exploratory-Data-Analysis Exploratory-Data-Analysis Public

   Exploratory Data Analysis notebooks using Python, Pandas, NumPy, Matplotlib, and Seaborn to extract insights from datasets.

   Jupyter Notebook 3

4. SQL SQL Public

   SQL for Data Analysis – A hands-on repository covering SQL fundamentals, queries, filtering, and analytical practices using Jupyter Notebook.

   Jupyter Notebook 3

5. Feature-Engineering Feature-Engineering Public

   A practical repository covering essential feature engineering techniques such as encoding, scaling, handling missing values, date-time features, and working with mixed data for machine learning.

   Jupyter Notebook 3

6. Machine_learning_Algorithms Machine_learning_Algorithms Public

   A collection of core Machine Learning algorithms implemented using Python and Scikit-learn, including regression, classification, and ensemble models with clear explanations and examples.

   Jupyter Notebook 2