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/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.
skhiearth/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.
skhiearth/Multiple-Linear-Regression-Backward-Elimination-Python
Implementing a Multiple Linear Regression in Python using Backward Elimination
skhiearth/Coursera-IBM-Visualizing-Neighborhoods-in-Toronto
Visualizing Neighborhoods in the city of Toronto. This project is a part of the Data Science Specialisation Capstone offered by IBM on Coursera.
skhiearth/Exploring-the-Kaggle-Data-Science-Survey
Exploring the 2017 Kaggle Data Science Survey results, and learning about the tools used by 10,000+ people in the professional data science community. This DataCamp project uses a subset of the 2017 Kaggle Machine Learning and Data Science Survey dataset.
skhiearth/Habit-at-Webpage
skhiearth/Historical-voting-of-the-UN-General-Assembly
In the General Assembly, every member nation gets a vote, which makes the voting history a great resource to study international relations. The dataset contains the historical voting data from the General Assembly of the United Nations. This is a dataset of roll-call votes in the UN General Assembly 1946-2018.
skhiearth/Multiple-Linear-Regression-Backward-Elimination-R
Implementing a Multiple Linear Regression in R using Backward Elimination
skhiearth/Multiple-Linear-Regression-Python
Implementing a Multiple Linear Regression in Python
skhiearth/Multiple-Linear-Regression-R
Implementing a Multiple Linear Regression in R
skhiearth/Polynomial-Regression-Python
Implementing a Polynomial Regression in Python
skhiearth/Rise-and-Fall-of-Programming-Languages
Using open data from the Stack Exchange Data Explorer to examine the relative popularity of languages like R, Python, Java and Javascript have changed over time.
skhiearth/TV-Halftime-Shows-and-the-Big-Game
The dataset used in this Project was scraped and polished from Wikipedia. It is made up of three CSV files, one with game data, one with TV data, and one with halftime musician data for all 52 Super Bowls through 2018.
skhiearth/Who-Is-Drunk-and-When-in-Ames-Iowa-
Grouping, summarizing, and visualizing data on breath alcohol tests in Ames, Iowa, (home of Iowa State University) from 2013-2017. Some questions answered include, "What is the highest recorded value?" and "When do breath alcohol tests occur most?"