There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Coursera-IBM-Machine-Learning-with-Python-Final-Project
The following algorithms are used to build models for the different datasets: k-Nearest Neighbour, Decision Tree, Support Vector Machine, Logistic Regression The results is reported as the accuracy of each classifier, using the following metrics when these are applicable: Jaccard index, F1-score, Log Loss. This project counts towards the final grade of the course.Pink-iOS
Source Code and linked assets for the Pink+ project by The MisfitsVacSeen
Code repository and documents for VacSeen by The MisfitsVehicle-Detection-using-Intel-OpenVINO
An implementation of a cost-effective, real-time vehicle detection application on the edge using the OpenVINO toolkit.Traffic-Sign-Classification-using-Keras
Implementation of CNNs in Keras to recognize traffic signs from the German Traffic Sign DatasetInternational-Debt-Statistics
Analysing international debt of various countries using data from International Monetary Fund.Bullz-and-Bearz-PeddieHacks
Code repository and supporting documents for Bullz and BearzVirtualTrack
Code snippets and supporting documentation for the VirtualTracker project built on Matic and Portis by The Misfits.BlockCred
Code Snippets and Supporting Documentation for the BlockCred project by The Misfits for Code with GlobalShala 2.0Blockchain_Dev_SocialNet
Notes and the Social Network project from 'Blockchain Tutorial For Developers' by Dapp UniversityGo-Tutorial
Notes and code snippets from the freeCodeCamp.org tutorial on Golang.VirtualTracker
Code snippets and supporting documentation for the VirtualTracker project built on Matic and Portis by The Misfits.GreenFunds
Code repository and supporting documents for GreenFunds project by the Misfits for E-Hack '21Word-Frequency
Analysing the word frequency in documents and books off Project Gutenberg and verifying the Pareto Principle in language and literature.Web3.js-Ethereum-Developer
Code snippets from the YouTube playlist, 'Web3.js - Ethereum Blockchain Developer Crash Course' by Dapp Universityskhiearth
cifar-cnn-pytorch
Training a Convolutional Neural Network to classify images from the CIFAR-10 database using PyTorchBlockStore
Code repository, UI elements and supporting documents for the BlockStore project by The Misfits at BhilaiHacksLevel-Difficulty-in-Candy-Crush-Saga
Candy Crush Saga is a hit mobile game developed by King (part of Activision|Blizzard) that is played by millions of people all around the world. In this DataCamp Project, I worked with a real Candy Crush dataset and used this data to estimate level difficulty.Generating-Keywords-for-Google-Ads
Automatically generate keywords for a search engine marketing campaign using Python. Inspired from a DataCamp project of the same name.Multiple-Linear-Regression-Backward-Elimination-Python
Implementing a Multiple Linear Regression in Python using Backward EliminationUpper-Confidence-Bound-Thompson-Sampling
Optimizing click-through-rate of different users on ads in a Social Network using Upper Confidence Bound and Thompson Sampling in Python and RLove Open Source and this site? Check out how you can help us