JermaineV.github.io
Hello and welcome 
About Me 
🌱 I’m currently learning, AI, Neural Networks and MAchine Learning
👯 I’m looking to collaborate on Projects, blogs on DS, ML, AI.
💬 Please feel free to contact me with any opportunities: email
My Qualifications
Certificates and Academic transcripts
My Projects 
Final college Data Science project:
This project/Report covers: Statistical analysis, PowerBI reporting and app deployment, Python DML. All Scenarios, code and data source infomation are included in the report.
Tools used: PowerBi, Pandas, statistical methods.
Personal projects:
Credit Fraud Detection: Prediction/Analysis: Model that predicts transactional credit fraud by utilizing machine learning techniques.
Tools used: pandas, numpy, nltk, sklearn, seaborn, matplotlib
Stock Market Analysis for Tech Stocks: Analysis of technology stocks including change in price over time, daily returns, and stock behaviour prediction.
Tools used: Pandas, Folium, Seaborn and Matplotlib
Loan Dataset - Exploratory Data Analysis(EDA): Exploratory Analysis of the Prosper Loans company loan data using Pandas and Seaborn visualisations. Tools used: Pandas, Seaborn and Matplotlib
Titanic Dataset - Exploratory Analysis: Exploratory Analysis of the passengers onboard RMS Titanic using Pandas and Seaborn visualisations.
Tools used: Pandas, Folium, Seaborn and Matplotlib
Unsupervised Learning: Creating Customer Segments: Analyzing a dataset containing data on various customers' annual spending amounts (reported in monetary units) of diverse product categories for discovering internal structure, patterns and knowledge.
Tools used: scikit-learn, Pandas, Seaborn, Matplotlib, Pygame
Simple COVID-19 Self screening program using python: The programme will tell if someone has COVID-19 or not, based on a number of preset questions
Mini Project
ML with Logistic Regressions-IN PROGRESS: Using Logistic Regression to predict whether an internet user clicked an ad or not.
Skills 
Connect with me 
