Pinned Repositories
Bullz-and-Bearz-PeddieHacks
Code repository and supporting documents for Bullz and Bearz
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.
Coursera-IBM-The-Battle-of-Neighborhoods-Capstone-Project-
This capstone project has been submitted as part of the requirements for completion of the IBM Data Science Professional Certificate on Coursera. In general, this project would be encompassing a series of Data Science techniques, including, but not limited to, Web Scraping (using BeautifulSoup and Requests), Data Cleaning, Data Wrangling and Machine Learning (K-Means clustering algorithm)
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.
Pink-iOS
Source Code and linked assets for the Pink+ project by The Misfits
Traffic-Sign-Classification-using-Keras
Implementation of CNNs in Keras to recognize traffic signs from the German Traffic Sign Dataset
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.
VirtualTrack
Code snippets and supporting documentation for the VirtualTracker project built on Matic and Portis by The Misfits.
skhiearth's Repositories
skhiearth/Traffic-Sign-Classification-using-Keras
Implementation of CNNs in Keras to recognize traffic signs from the German Traffic Sign Dataset
skhiearth/cifar-cnn-pytorch
Training a Convolutional Neural Network to classify images from the CIFAR-10 database using PyTorch
skhiearth/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
skhiearth/Advanced-Lane-Finding
Applying computer vision techniques to augment video output with a detected road lane, road radius curvature and road centre offset.
skhiearth/ANN-Geodemographic-Segmentation
Implementing geodemographic segmentation to reduce churn rates at a bank using Artificial Neural Networks in Python and R
skhiearth/CNN-Image-Classification
Implementing an Image Classifier using Convolutional Neural Networks in Python
skhiearth/Decision-Tree-and-Random-Forests-Classification
Implementing a Simple Decision Tree and Random Forest classifier in Python and R
skhiearth/Decision-Tree-Regression
Implementing a Decision Tree Regression in Python and R
skhiearth/Face-and-Happiness-Detection-with-OpenCV
Implementing a Face Detector with Happiness Detection using OpenCV in Python
skhiearth/Gaussian-Naive-Bayes
Implementing a Gaussian Naive Bayes classifier in Python and R
skhiearth/Grocery-Store-Optimization-Apriori-Eclat
Implementing Association Rule Learning (Apriori and Eclat) in R to optimize placements of similars products in a supermarket.
skhiearth/Hierarchical-Clustering
Modelling a simple Hierarchical Clustering in Python and R
skhiearth/Image-Creation-GAN
Image Creation with Generative Adversarial Networks - PyTorch using real images from the CIFAR-10 dataset.
skhiearth/Internship-Assessment--Customer-Clustering
This task has been completed as an Internship Assessment for Olcademy.
skhiearth/K-Means-Clustering
Modelling a simple K-Means clustering in Python and R
skhiearth/K-Nearest-Neighbors
Implementing K-NN in Python and R
skhiearth/MNIST-Fashion-tf.Keras
Fashion MNIST Classification using tf.Keras
skhiearth/mnist-pytorch
Using PyTorch to build a Convolutional Neural Network to classify handwritten digits from the MNSIT dataset.
skhiearth/Multiple-Object-Detection-YOLO
Object Detection on video streams and webcam footage using YOLOv3 and OpenCV
skhiearth/Object-Detection-with-SSD
Object Detection using SSD MultiBox - PyTorch in Python
skhiearth/Pedestrian-Detection-OpenCV
Pedestrian Detection in OpenCV using Haar Cascades.
skhiearth/Polynomial-Regression-R
Implementing a Polynomial Regression in R
skhiearth/Predicting-Taxi-Fares-with-Random-Forests
Working with the data from a large number of taxi journeys in New York from 2013, used regression trees and random forests to predict the value of fares and tips, based on location, date and time.
skhiearth/Random-Forest-Regression
Implementing Random Forest Regression in Python and R
skhiearth/RBF-Kernel-SVM
Implementing a RBF Kernel SVM in Python and R
skhiearth/Restaurant-Review-Classification-NLP
Using Bag of Words and Naive Bayes/Random Forests in Python and R to classify restaurant reviews.
skhiearth/Simple-Linear-Regression
Implementing a Simple Linear Regression in Python and R
skhiearth/Support-Vector-Machine
Implementing a Support Vector Machine (SVM) in Python and R
skhiearth/Support-Vector-Regression-Python
Implementing a Support Vector Regression in Python
skhiearth/Support-Vector-Regression-R
Implementing a Support Vector Regression in R