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We will try to understand which areas of the brain are involved in the behavior of the mice during the experimental task of the Steinmetz dataset recorded using Neuropixel probes. For this approach we will try to use a machine learning model to classify the different responses the mice made. We’ll use recordings from different brain regions as i…
Welcome to my Wildfire capstone project. This project develops a classification model to predict wildfires management complexity levels. This is a wildfire risk, size, and impact based project.
The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.
The project predicts the probability of loan default using various financial features of customer. I applied SMOTENN by combining SMOTE and Edited Nearest Neighbor (ENN) to handle class imbalance. Logistic Regression, Random Forest and CATBOOST models have been apllied and evaluated based on accuray, F1 score, ROC-AUC score.