Greg Bhola's repositories
Credit_Risk
Performed supervised machine learning using oversampling, undersampling and combination sampling techniques to determine credit risk for bank customers.
Cryptocurrencies
Analyzing the performance of Cryptocurrencies using Unsupervised Machine Learning methods such as Principal Component Analysis (PCA) and KMeans Clustering. Data visualizations were executed using HVplot and PowerBI.
Election_Analysis
Using Python to audit election results. In this project, I practiced the basics of for loops and conditionals with logical operators. There was also scope to refactor code.
Movies-ETL
An ETL process for a movies database from Wikipedia and Kaggle. Demonstrated the use of Pandas, RegEx, functions and try-except blocks to create an automated ETL pipeline.
NPL_Forecast_TrinidadTobago
Using Predictive Analytics to forecast Non-Performing Loans Ratio in Trinidad and Tobago
US_Election_NLP
This was my first NLP team project. We used Twint to scrape Twitter information and used this data to perform Sentiment/Emotion Analysis for the Presidential candidates in the last four elections. Other key resources such as TextBlob, NLTK, MongoDB and Python were also used to complete this analysis.
Kickstarter-Analysis-GB
Performing Excel analysis on kickstarter spreadsheet
machine_learning_examples
A collection of machine learning examples and tutorials.
Mapping_Earthquakes
Mapbox and Leaflet maps were created to display the most recent earthquakes over the past 7 days.
Mission-to-Mars
Created a web app using Flask to display web data. MongoDB was also used to store data from web scrape.
Neural_Networks
Learning to build my own machine learning model using TensorFlow to predict the success of a venture.
Pewlett-Hackard-Analysis
SQL project using PostgreSQL & pgAdmin to explore a database of employee records.
PyBer_Analysis
Jupyter Notebook project using Pandas & Matplotlib to visualize and examine the dataset of a mock ride-sharing business operating in urban, suburban, and rural areas. Merge, groupby, sums, count, pivot table methods utilized. Bubble charts, boxplots, pie charts, and line charts created.
School_District_Analysis
This is a project that I did to solidify some of my basic ETL skills in Python. Some of the methods used include Merge, Filter, CLice, Sort, Count and GroupBy.
Surfs_Up
Creating an app to monitor weather data for a potential surfboard and milkshake start-up.
Titanic_Exploratory_Analysis
In this project, I used r programming to perform ETL and construct a Logistic Regression model to predict which passengers survived the sinking of the Titanic.
Unemployment_Trinidad_and_Tobago
Developing forecasting tool to predict missing unemployment figures for Trinidad and Tobago.
World_Weather_Analysis
Using Google Cloud API to highlight potential vacation destinations.