selkhayri
A Seasoned Data Professional with extensive experience in Software Development. Skilled in Machine Learning using Python, SQL, Java, JavaScript, Bootstrap, CSS.
University of TorontoLondon, Ontario, Canada
Pinned Repositories
capstone-project
A machine learning project aimed at determining which government policies resulted in fewer per-capita total cases and deaths from COVID-19.
AutosRUs_MechaCar
Using Multiple Linear Regression, the data set is analysed to determine which independent variables provide a non-random amount of variance to the dependent variable and conclude whether a linear model would be sufficiently predictive.
Bombay_-Mumbai-_Temps
Predicting daily temperatures in Mumbai, India
Cryptocurrencies
Using unsupervised machine learning, namely K-means Clustering and Principal Component Analysis, to determine which cryptocurrencies are good investments.
cuboulder-image-labelling
Determining_Credit_Risk
The aim of this project is to determine which classification technique produces the best results when applied to the task of determining credit riskiness.
Election_Analysis
An analysis of the results of a congressional election to determine total votes cast, candidates who received votes, the number of votes each candidate received, the percentage of votes each candidate won, and the winner based on the popular vote. Voter turnout is also displayed as a percentage of the total population for each county.
Emotions_Dataset_with_NLP
The aim of this project is to determine the emotion that is associated with a given body of text.
Mapping_Earthquakes
A interactive map showing, among other featues, the severity of earthquakes in relation to the tectonic plates with data retrieved through API calls using the D3 library, and creating plots using the Leaflet library.
PH_Retirement_Planning
An analysis of retirement planning measures to mitigate the risks of the impending retirement of thousands of employees.
selkhayri's Repositories
selkhayri/Emotions_Dataset_with_NLP
The aim of this project is to determine the emotion that is associated with a given body of text.
selkhayri/AutosRUs_MechaCar
Using Multiple Linear Regression, the data set is analysed to determine which independent variables provide a non-random amount of variance to the dependent variable and conclude whether a linear model would be sufficiently predictive.
selkhayri/Bombay_-Mumbai-_Temps
Predicting daily temperatures in Mumbai, India
selkhayri/Cryptocurrencies
Using unsupervised machine learning, namely K-means Clustering and Principal Component Analysis, to determine which cryptocurrencies are good investments.
selkhayri/cuboulder-image-labelling
selkhayri/Determining_Credit_Risk
The aim of this project is to determine which classification technique produces the best results when applied to the task of determining credit riskiness.
selkhayri/Election_Analysis
An analysis of the results of a congressional election to determine total votes cast, candidates who received votes, the number of votes each candidate received, the percentage of votes each candidate won, and the winner based on the popular vote. Voter turnout is also displayed as a percentage of the total population for each county.
selkhayri/Mapping_Earthquakes
A interactive map showing, among other featues, the severity of earthquakes in relation to the tectonic plates with data retrieved through API calls using the D3 library, and creating plots using the Leaflet library.
selkhayri/PH_Retirement_Planning
An analysis of retirement planning measures to mitigate the risks of the impending retirement of thousands of employees.
selkhayri/Deep_Neural_Networks_with_PyTorch
selkhayri/edmonton-stairs-project
Interactive map of outdoor staircases in Edmonton, Alberta, Canada
selkhayri/Fake_News_Detector
The Fake News Detector uses a supervised training approach to classify which news articles are fake - likely false - and which ones are real - likely true.
selkhayri/flaskAPI-NER
Named-entity recognition model deployment
selkhayri/gkpbt-css-circle
css-circle
selkhayri/kickstarter_analysis
The aim of this project is to carry out an analysis on Kickstarter data to determine the chances of success for fundraising campaigns based on monetary target and launch time of year.
selkhayri/Mission_to_Mars
The aim of this project is to scrape the NASA news site to retrieve images and data related to Mars.
selkhayri/nlpwithpytorch-1
selkhayri/Predict_Now
PredictNow project
selkhayri/PyBer_Analysis
Key data metrics from a ride sharing company are compiled and summarised. Thereafter, line graphs are plotted for each city type to visualise the differences among them.
selkhayri/School_District_Analysis
Analysing student grades using a number of related measures, like school budgets, class sizes, etc.
selkhayri/selkhayri.github.io
My Portfolio
selkhayri/stock_analysis
The aim of this project is to refactor an existing stock analysis process in order to optimize the VBA code and make it run faster.
selkhayri/surfs_up
The aim of this project was to determine the viability of establishing an ice cream and surf shop on the island of Oahu, Hawaii. To accomplish this goal, the seasonal weather data of the island was analyzed for the months of June and December for the years between 2010 and 2017, inclusive. The weather data was obtained from nine (9) weather monitoring stations and stored in an sqlite database named hawaii.sqlite.
selkhayri/UFOs
The purpose of this project was to create a web page which can be used to search through recorded sightings of UFOs.
selkhayri/World_Weather_Analysis
The aim of this project is display travel-related information, such weather data and accommodation data, on a map.
selkhayri/xzceb-flask_eng_fr
flask_enf_fr