skhiearth/Traffic-Sign-Classification-using-Keras

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Created almost 5 years ago
Updated almost 5 years ago

skhiearth/Traffic-Sign-Classification-using-Keras

skhiearth

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Implementation of CNNs in Keras to recognize traffic signs from the German Traffic Sign Dataset

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 Misfits

VacSeen

Code repository and documents for VacSeen by The Misfits

Vehicle-Detection-using-Intel-OpenVINO

An implementation of a cost-effective, real-time vehicle detection application on the edge using the OpenVINO toolkit.

International-Debt-Statistics

Analysing international debt of various countries using data from International Monetary Fund.

NYC-Motor-Vehicle-Collisions

Analysing and visualising Motor Vehicle Collisions in New York City with an objective to make the city roads safer using Data Science techniques.

Bullz-and-Bearz-PeddieHacks

Code repository and supporting documents for Bullz and Bearz

VirtualTrack

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 2.0

Blockchain_Dev_SocialNet

Notes and the Social Network project from 'Blockchain Tutorial For Developers' by Dapp University

Go-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 '21

Word-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 University

skhiearth

cifar-cnn-pytorch

Training a Convolutional Neural Network to classify images from the CIFAR-10 database using PyTorch

BlockStore

Code repository, UI elements and supporting documents for the BlockStore project by The Misfits at BhilaiHacks

Level-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 Elimination

Upper-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 R