data-george

API-Mini-Project-

Project using Jupyter notebook to connect to the Quandl API and using python data structures to extract financial information

Attention-for-Mental-Health

The intent here is to build a question and answer transformer model to answer people's questions in regards to mental health.

Bayesian-Optimization-Case-Study

Bayesian parameter optimization in Python for a Light GBM model.

Case-Study-Customer-Segmentation-using-Clustering

Customer Segmentation study using Sci-kit learn, Pandas and Seaborn

Case-Study-Gradient-Boosting

Intuition and application of Gradient Boosting on Regression and Classification

Case-Study-Integrating-Apps

Statistical Significance Case Study

Case-Study-Linear-Regression

A Linear Regression Study on the Red Wine Dataset

Case-Study-RR-Diner-Coffee

Case study assisting purchasing decisions using decision trees and random forest estimators

cloudrepo

cloud computing exploration repo

Cosine-Similarity-Case-Study

Cosine Similarity Case Study using Sci-kit Learn, Scipy and Matplotlib

data-george/API-Mini-Project-

Project using Jupyter notebook to connect to the Quandl API and using python data structures to extract financial information

data-george/Attention-for-Mental-Health

The intent here is to build a question and answer transformer model to answer people's questions in regards to mental health.

data-george/Bayesian-Optimization-Case-Study

Bayesian parameter optimization in Python for a Light GBM model.

data-george/Case-Study-Customer-Segmentation-using-Clustering

Customer Segmentation study using Sci-kit learn, Pandas and Seaborn

data-george/Case-Study-Gradient-Boosting

Intuition and application of Gradient Boosting on Regression and Classification

data-george/Case-Study-Integrating-Apps

Statistical Significance Case Study

data-george/Case-Study-Linear-Regression

A Linear Regression Study on the Red Wine Dataset

data-george/Case-Study-RR-Diner-Coffee

Case study assisting purchasing decisions using decision trees and random forest estimators

data-george/cloudrepo

cloud computing exploration repo

data-george/Cosine-Similarity-Case-Study

Cosine Similarity Case Study using Sci-kit Learn, Scipy and Matplotlib

data-george/Cowboy-Cigarretes-A-Time-Series-Investigation

Time series arima model study using pandas, numpy and statsmodels

data-george/DataScienceGuidedCapstone

Guided capstone based on a hypothetical request from a ski resort showing the correct sequence of data science steps in detail along with final the presentation

data-george/Deterministic-and-Probabilistic-Regression

Study involving a challenging multivariate regression problem that explores deterministic regression first and then explores the use of probabilistic regression to get a better feel of the uncertainty in the predictions

data-george/Enhancing-The-Home-Buying-Experience

Project involving web scraping, geospatial data, APIs and K-Means clustering

data-george/Euclidean-and-Manhattan-Distances-Case-Study

Study on Euclidean and Manhattan Distances using python and matplotlib

data-george/Forecasting-CO2-Using-Mauna-Loa-Data

Forecasting Study using pandas, statsmodels Sarimax and pmdarima Auto Arima

data-george/Frequentist-Statistics

Case Study on Frequentist Inference

data-george/Grid-Search-KNN-Case-Study

Case study in hyperparameter optimization using numpy, pandas, scikit learn and matplotlib

data-george/Identifying-Appliances-From-Energy-Use-Spectrograms-TensorFlow-2

A dual input Convolutional Neural Network created using TensorFlow 2 and generators for scalability. Please view the notebook pdf if you cannot open the notebook, it's a large file! This data originally from Driven Data was part of my Microsoft Professional Program for Artificial Intelligence, but the program was discontinued before I could analyze the data. Luckily for the IBM Advanced Data Science Capstone we were allowed to pick our own data set and I was able to use TensorFlow 2!

data-george/Logistic-Regression-Advanced-Case-Study

Study on logistic regression, probability and hyperparameters

data-george/Predicting-County-Level-Rents

Project involving L1, L2 Regression and Support Vector Machine Regression. Please see report for details and view the notebook pdf if you are unable to view the notebook (close to size limits!)

data-george/Predicting-Covid-19-Positive-Cases-From-Lung-X-Ray-Images

Convolutional Neural Network Multiclass Classification Project involving X rays of normal lungs, lungs with Pneumonia and lungs with Covid-19 Feel free to scroll to through the Covid positive images on my first notebook to take a look or skip to the bottom for my notes!

data-george/Random-Forest-Case-Study-Covid-19

Study applying Random Forest Classification to understand the scope of the Coronavirus using data from December and January of 2020

data-george/Relax-Inc-Take-Home-Challenge

Take Home Challenge: Defining an "adopted user" as a user who has logged into the product on three separate days in at least one seven ­day period , identify which factors predict future user adoption

data-george/Springboard

Project using Python, Pandas, Numpy and Matplotlib to explore which boroughs of London have seen the greatest increase in housing prices, on average, over the last two decades

data-george/SQL-Case-Study-Country-Club

Project involving MySQL and PHPMyAdmin using a country club database and performing SQL queries to gain insights from the data

data-george/Ultimate-Technologies

Ultimate Technologies Inc. is a transportation network company that has disrupted the taxi and logistics industry and is considered a prestigious company to work for. Ultimate Technologies is interested in predicting rider retention

data-george/vftvk-Simple-Interest-Calculator