This repository contains materials for various data science lessons. It's designed to be a comprehensive resource for learning and practicing data science techniques.
This repository includes the following features:
- (e.g., Introduction to Pandas, including data manipulation and cleaning examples.). This will use Pandas and potentially NumPy.*
- Specific Lesson 2]:** (e.g., Exploratory Data Analysis (EDA) with Matplotlib and Seaborn, showcasing data visualization techniques)
- Machine Learning Model Training with Scikit-learn, focusing on model selection, training, and evaluation*
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Programming Languages: Python (Specify versions if applicable, e.g., Python 3.9)
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Libraries:
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- Seaborn
- Plotly
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Environments: (Google Colab, Jupyter Notebooks.)