MLDM_HWs

Machine Learning and Data Mining Projects (2022-2023).

This repo demonstrates multiple Machine Learning and Data Mining Techniques including:

Data Handling and Data Manipulation
Applying Linear Regression under multiple sets.
Applying Classification and feature engineering techniques to reach an accuracy limit.
Study of Regularization effects.
Study of different Quality metrics and the effect of GridSearchCV to find the optimal value for k in KNeighborsClassifier.
Applying DecisionTrees and ROC AUC score on Breast cancer Wisconsin (diagnostic) dataset.
study Ensembles by comparing mean-square error between kNN regressor, random forest regressor and stacking regressor on California Housing dataset.
Traning Neural Network Transformer-based model for images classification task.
Dog breed Identification using Transfer Learning and CNN Auto Encoders on dataset.

This repo is part of the MLDM course, HSE, Moscow, Russia.

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
HW1 -DataHandling_HW.ipynb		HW1 -DataHandling_HW.ipynb
HW2 -LinearRegression_HW.ipynb		HW2 -LinearRegression_HW.ipynb
HW3 -Classification_HW.ipynb		HW3 -Classification_HW.ipynb
HW4 -Regularization_HW.ipynb		HW4 -Regularization_HW.ipynb
HW5 -QualityMetrics_HW.ipynb		HW5 -QualityMetrics_HW.ipynb
HW6 - DecisionTrees_HW.ipynb		HW6 - DecisionTrees_HW.ipynb
HW7 -Ensembles_HW.ipynb		HW7 -Ensembles_HW.ipynb
HW8 - NNs_HW.ipynb		HW8 - NNs_HW.ipynb
HW9_TL_AE_HW.ipynb		HW9_TL_AE_HW.ipynb
README.md		README.md

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