• Stars
    star
    1
  • Language
    HTML
  • Created over 5 years ago
  • Updated almost 5 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

In this project, we analyze and compare the performance of various machine learning algorithms (Linear Regression, Decision Tree, AdaBoost, XGBoost, Gradient Boosting and k- Nearest Neighbors) when used to predict hard drive failures using Backblaze data in the year 2018.

More Repositories

1

HandDetection_MaskRCNN

An ML project to train and use a Mask R CNN pipeline for detecting hands in pictures
Jupyter Notebook
17
star
2

floodprediction

The goal of this project is to identify the flood-prone areas with probabilities of flood in counties in a future date, using Spark MLLib.
Scala
3
star
3

personal_website

Code for my personal website hosted on https://www.satyajeet.dev
JavaScript
1
star
4

Salesforce-Dev-Org

This is entire metadata of my Salesforce personal developer org. The applications and code were written by me as part of POCs and Personal projects.
Apex
1
star
5

IoTImageCaptioningCloud

This project is to make an application that helps alleviate the issues faced by visually impaired people. We have built a visual aid with the help of IoT devices and cloud resources that identifies obstacles in the IoT devices line of sight and warns the user about its presence. This application while being very simple in its idea will prove to be of utmost importance for the users. The user should have access to an IoT device with a camera and speaker in it. This device captures images from the camera and sends it across the network, where a trained ML model identifies the objects in this image and returns these labels. The labels are further fed into a model that converts text to speech and the final caution warning is played on the IoT’s speaker to help the user. This application has a payment portal and requires a humble fee of 0.02 ether which is required in order to use the services.
Python
1
star