文件列表:

.codacy.yml (77, 2022-08-21)
lab1_jupyter_notebook/ (0, 2022-08-21)
lab1_jupyter_notebook/.ipynb_checkpoints/ (0, 2022-08-21)
lab1_jupyter_notebook/.ipynb_checkpoints/lab1_Jupyter_notebooks-checkpoint.ipynb (2000, 2022-08-21)
lab1_jupyter_notebook/lab1_Jupyter_notebooks.ipynb (2000, 2022-08-21)
lab2_numpy_scipy_matplotlib/ (0, 2022-08-21)
lab2_numpy_scipy_matplotlib/.ipynb_checkpoints/ (0, 2022-08-21)
lab2_numpy_scipy_matplotlib/.ipynb_checkpoints/lab2_numpy_scipy_matplotlib-checkpoint.ipynb (138179, 2022-08-21)
lab2_numpy_scipy_matplotlib/lab2_numpy_scipy_matplotlib.ipynb (157951, 2022-08-21)
lab2_numpy_scipy_matplotlib/pics/ (0, 2022-08-21)
lab2_numpy_scipy_matplotlib/pics/dog.jpg (6751, 2022-08-21)
lab3_pandas_indexing_selecting_editing_a_dataset/ (0, 2022-08-21)
lab3_pandas_indexing_selecting_editing_a_dataset/.ipynb_checkpoints/ (0, 2022-08-21)
lab3_pandas_indexing_selecting_editing_a_dataset/.ipynb_checkpoints/lab3_pandas_indexing_selecting_editing_a_dataset-checkpoint.ipynb (183195, 2022-08-21)
lab3_pandas_indexing_selecting_editing_a_dataset/StudentsPerformance.csv (72036, 2022-08-21)
lab3_pandas_indexing_selecting_editing_a_dataset/amazon.csv (50610, 2022-08-21)
lab3_pandas_indexing_selecting_editing_a_dataset/lab3_pandas_indexing_selecting_editing_a_dataset.ipynb (183195, 2022-08-21)
lab4_pandas_aggragate_functions/ (0, 2022-08-21)
lab4_pandas_aggragate_functions/.ipynb_checkpoints/ (0, 2022-08-21)
lab4_pandas_aggragate_functions/.ipynb_checkpoints/lab4_pandas_aggragate_functions-checkpoint.ipynb (91427, 2022-08-21)
lab4_pandas_aggragate_functions/lab4_pandas_aggragate_functions.ipynb (100358, 2022-08-21)
lab5_missed_data_processing/ (0, 2022-08-21)
lab5_missed_data_processing/.ipynb_checkpoints/ (0, 2022-08-21)
lab5_missed_data_processing/.ipynb_checkpoints/lab5_missed_data_processing-checkpoint.ipynb (79041, 2022-08-21)
lab5_missed_data_processing/lab5_missed_data_processing.ipynb (79041, 2022-08-21)
lab5_missed_data_processing/test.csv (451405, 2022-08-21)
lab5_missed_data_processing/train.csv (460676, 2022-08-21)
lab6_linear_regression_problem_solving/ (0, 2022-08-21)
lab6_linear_regression_problem_solving/.ipynb_checkpoints/ (0, 2022-08-21)
lab6_linear_regression_problem_solving/.ipynb_checkpoints/lab6_linear_regression_problem_solving-checkpoint.ipynb (482102, 2022-08-21)
lab6_linear_regression_problem_solving/insurance.csv (54289, 2022-08-21)
lab6_linear_regression_problem_solving/lab6_linear_regression_problem_solving.ipynb (482102, 2022-08-21)
lab6_linear_regression_problem_solving/test.csv (4461, 2022-08-21)
lab6_linear_regression_problem_solving/train.csv (10384, 2022-08-21)
lab7_clustering_problem_solving/ (0, 2022-08-21)
lab7_clustering_problem_solving/.ipynb_checkpoints/ (0, 2022-08-21)
lab7_clustering_problem_solving/.ipynb_checkpoints/lab7_clustering_problem_solving-checkpoint.ipynb (296874, 2022-08-21)
lab7_clustering_problem_solving/DataClustering_ElbowCriterion.jpg (17231, 2022-08-21)
lab7_clustering_problem_solving/housing.csv (1423529, 2022-08-21)
... ...

# Data Mining [](https://www.codacy.com/gh/valerii-martell/Data-Mining/dashboard?utm_source=github.com&utm_medium=referral&utm_content=valerii-martell/Data-Mining&utm_campaign=Badge_Grade) Programming assignments (Jupyter notebooks) in Ph.D. university course "Data Mining". **Technology stack used:** 1. Python 2. Jupyter 3. Matplotlib 4. NumPy 5. SciPy 6. Pandas **Main problems considered:** 1. Jupyter notebook using 2. NumPy, SciPy and Matplotlib libraries using 3. Pandas: indexing, selecting and editing a dataset 4. Pandas: aggragate functions 5. Missed data processing 6. Linear regression problem solving 7. Clustering problem solving

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