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ROS package for the Google Edge TPU
Analysis of Support Vector Machine
The objective of this work is to provide tools to be used for the classification of ordinal categorical distributions. To demonstrate how to do it, we propose an Homogeneity (HI) and Location (LI) Index to measure the concentration and central value of an ordinal categorical distribution.
Implementation of the kNN algorithm in Swift for indoor Wi-Fi positioning systems.
Cloud classification service for weather bot
A Heart Disease Predictor using Supervised Learning
Predicts the qualified employee for promotion using Classification
POC de classificação de tomates por cor utilizando visão computacional.
Classification Project to detect presence of malignant or benign tumors in patients.
Projects i have worked on using Natural Language Processing and classification predictive modelling.
Machine Learning Projects :involved using Numpy, Matplotlib, Scipy, Sciki-Learn, Seaborn, Pandas and Tensorflow.,
Training script for fine-tuning pretrained image classification models with PyTorch
Machine Learning using Prediction Models : Logistic Regression , Classification Trees and Random Forest Classifier
A CNN model that classifies handwritten English Alphabets.
Develop an application to differentiate messages into spam and non-spam categories.
Prediction algorithm for new scientific articles based on existing collection