Lec - 1.3 | Data Types in Python for Machine Learning & Data Analytics | Tech Stone

📌 Lecture 1.3 | Python Data Types Explained (For Machine Learning & Data Analytics) | 🐍

Welcome to Lecture 1.1 of our Python Programming for ML & Data Science series! This video bridges core Python concepts with practical data applications, covering syntax, semantics, and their real-world use in machine learning pipelines and data analytics.

🔹 What You'll Learn:
✔ Python syntax rules every developer/data scientist needs
✔ How semantics impact ML model logic & data workflows
✔ Fixing common Python errors in Pandas/NumPy/Scikit-learn
✔ Proper code structuring for data pipelines & AI projects
✔ Live examples in Jupyter Notebooks (with datasets)

🚀 Why This Matters for ML/Data Science:
📌Avoid 80% of beginner mistakes in data preprocessing
📌Write cleaner code for model training & deployment
📌Master Python fundamentals before learning TensorFlow/PyTorch
📌Includes GitHub code you can use in your projects

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