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Week - 1 |
Introduction to Python and Variables |
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Week - 2 |
Conditionals and Decision Structures |
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Week - 3 |
Loops and Data Structures |
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Week - 4 |
Functions and Error Handling |
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Week - 5 |
File Operations and Modules |
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Week - 6 |
Introduction to NumPy and Pandas |
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Week - 7 |
Data Cleaning and Visualization |
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Week - 8 |
Introduction to Machine Learning with Python and Scikit-learn |
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Week - 9 |
Regression Models with Python: Linear, Polynomial |
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Week - 10 |
Classification Algorithms with Python |
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Week - 11 |
Decision Trees and Random Forest with Python |
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Week - 12 |
Clustering Algorithms with Python |
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Week - 13 |
Model Evaluation, Cross-Validation, and Hyperparameter Tuning with Python |
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Week - 14 |
Real-World Data Application |