Classification of Breast Cancer diagnosis Using Support Vector Machines
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Updated
Oct 15, 2022 - Jupyter Notebook
Classification of Breast Cancer diagnosis Using Support Vector Machines
This notebook presents a pipeline to process raw data files of battery cycling and the prediction of their useful life before the degradation starts.
House Price Detection-Advanced Regression (Neural Network)
Classification of Breast Cancer diagnosis Using Support Vector Machines
Repository for Raspberry Pi-based object detection with TinyML models like TensorFlow Lite, PyTorch Nano, including data gathering, mAP evaluation, and image data preparation in Jupyter notebooks.
This R notebook contains code for, 1) Converting Data from Wide to Long Format 2) Adding an Earliest and Most Recent columns to a time series dataset 3) Computing moving averages at different time intervals 4) Plotting moving averages in 3) above on line graphs
This is the cumulative repository for the research project Deep Learning Approach to Robotic Prosthetic Wrist Control using EMG Signals done in the AWEAR lab. This repository would consist of all the Data processing pipelines codes, custom data preprocessing library built for this project, and all the time series CNN training Jupyter notebooks u…
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