├── Confusion Matrix - Jupyter Notebook.pdf ├── DecisionTree - Jupyter Notebook.pdf ├── K-Means Clustering - Jupyter Notebook.pdf ├── KNN - Jupyter Notebook.pdf ├── Lab_1.ipynb ├── Linear Regression - Jupyter Notebook.pdf ├── Matpltlib - Jupyter Notebook.pdf ├── Multiple Regression - Jupyter Notebook.pdf ├── Numpy -1 - Jupyter Notebook.pdf ├── Numpy -2 - Jupyter Notebook.pdf ├── Numpy-3 - Jupyter Notebook.pdf ├── Numpy-4 - Jupyter Notebook.pdf ├── PANDASONE - Jupyter Notebook.pdf ├── PANDASTWO - Jupyter Notebook.pdf ├── Pandas CSV.pdf ├── Pandas Series & Data Frame.pdf ├── README.md ├── SEABORN - Jupyter Notebook.pdf ├── SVM.ipynb ├── enhance_model_performance.ipynb ├── groupby - Jupyter Notebook.pdf ├── groupby.ipynb ├── groupby1 - Jupyter Notebook.pdf ├── handling missing data - Jupyter Notebook.pdf ├── homeprices.csv ├── income.csv ├── min -max-Normalization - Jupyter Notebook.pdf ├── multiple .homeprices.csv ├── naive_bayes - Jupyter Notebook.pdf ├── salaries.csv ├── simple_visualizations.ipynb └── training-testing split - 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