iOS app for Neural Bikes
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Updated
Nov 20, 2020 - Swift
iOS app for Neural Bikes
Gaussian Navie Bayes Classifier was applied on IRIS dataset. Different types of normality tests were used to introduce the normality concepts.
Predictions for Covid-19 - Api to provide data to https://github.com/caiosbl/coronavairus-api
Deep Learning Challenge (Module 21)
Prediction of price using Random forest Regression with given data set
Capstone projects from Springboard. Fraud Transactions Detection on imbalanced data, Best Detection Machine Learning algorithm and Deep Learning Neural Network Autoencoder.
In this project, I'll work on operationalizing microservices by deploying an elastic and fault-tolerant Machine Learning inference API (Flask app) using Kubernetes.
Results from 2023 predictions: https://github.com/pffy/2023
This is a collection of mainly back-end-related files! Sorry if you came here using a different link, I changed the name of the repo :)
Analysis of a dataset using different techniques to train and evaluate models with unbalanced classes, aimed at reducing bias and predicting accurate credit risk.
Prediction of flagged automobile insurance's clients -- Binary Classification
An analysis of CS: GO championship matches and predictions.
Supermarket Sales Prediction Project using Pyhton and machine learning
In this repository,i did an analysis on breast cancer dataset and tried to make some prediction. I got the accuarcy using Linear Kernel of Support vector machine , around 0.98.
Developing patient survival prediction model is important in clinical research. As different levels of data may all contribute to patients’ survival, the prediction model using multiple omics data could achieve better performance.
prediction of the rise and fall of BBCA and BBRI stocks using the naive Bayes and regression methods by utilizing datasets from BBCA and BBRI
Finds a regression equation which can be very important for predictions, etc. Also finds the respective errors.
Simple API, built with FAST API, with advanced linear regression of California home prices.
Projeto guiado desenvolvido no curso de Regressão Linear com Python.
A web app for running live predictions contests
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