beginner

🟢 Beginner Workshops

Hands-on workshop materials designed for students taking their first steps in Python, data exploration, and foundational machine learning.

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📚 Curriculum & Available Workshops

1. Python for AI & Vectorized Computing

• Topics: Python 3.10 setup, VS Code essentials, NumPy array vectorization, broadcasting, and calculating matrix operations.
• Duration: 2 Hours (Hands-on Lab)
• Prerequisites: None.
• Interactive Lab: 01_python_numpy_basics.ipynb

2. Exploratory Data Analysis & Visual Storytelling

• Topics: Pandas DataFrame wrangling, handling missing values, filtering rows, and generating charts with Seaborn and Matplotlib.
• Duration: 2.5 Hours
• Prerequisites: Basic Python syntax.
• Interactive Lab: 02_exploratory_data_analysis.ipynb

3. Intro to Machine Learning: From Zero to Classification

• Topics: Supervised learning intuition, train/test splitting, training Decision Trees and Random Forests using scikit-learn, and reading a confusion matrix.
• Duration: 3 Hours
• Prerequisites: Python and basic statistics.
• Interactive Lab: 03_intro_machine_learning.ipynb

4. NLP & Sentiment Analysis: Text Classification with Scikit-Learn

• Topics: Text cleaning, tokenization, TF-IDF feature extraction, Multinomial Naive Bayes, and interactive model inference.
• Duration: 2.5 Hours
• Prerequisites: Python and introductory classification concepts.
• Interactive Lab: 04_nlp_sentiment_analysis.ipynb

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🚀 How to Run

In the Cloud (Free GPU / No Setup):

Click any of the Open in Colab badges above to execute the code directly in your browser.

Locally on Your Machine:

git clone https://github.com/AIMLCLUBOCT/Workshops.git
cd Workshops/beginner
pip install -r ../requirements.txt  # or: pip install numpy pandas matplotlib seaborn scikit-learn jupyterlab
jupyter lab notebooks/