Pinned Repositories
citi-bike-tableau-challenge
Create visualizations of the Citi Bike ride sharing data
clangstonhinton.github.io
Web Visualization
credit-risk-classification
Employ supervised machine learning leveraging logistic regression to predict creditworthiness of borrowers.
crowdfunding-ETL
Built an ETL pipeline using Python, Pandas, Python, Regex to extract, transform and load data into a SQL database.
Crypto-Clustering-Challenge
Employ unsupervised machine learning to predict outcomes with K-Means and PCA
deep-learning-challenge
Use neural network deep learning to predict non-profit applicants' success
demographic-data-analyzer
grape_choice_web_app
Create an interactive web dashboard with 3 visualizations using Flask, HTML, CSS, JavaScript, Leaflet, Plotly and a SQL database
sql-challenge
Leverage SQL to perform data modeling, data engineering, and data analysis
What2Watch2Nite
Machine Learning Recommendation Engine using KNN
clangstonhinton's Repositories
clangstonhinton/citi-bike-tableau-challenge
Create visualizations of the Citi Bike ride sharing data
clangstonhinton/clangstonhinton.github.io
Web Visualization
clangstonhinton/credit-risk-classification
Employ supervised machine learning leveraging logistic regression to predict creditworthiness of borrowers.
clangstonhinton/crowdfunding-ETL
Built an ETL pipeline using Python, Pandas, Python, Regex to extract, transform and load data into a SQL database.
clangstonhinton/Crypto-Clustering-Challenge
Employ unsupervised machine learning to predict outcomes with K-Means and PCA
clangstonhinton/deep-learning-challenge
Use neural network deep learning to predict non-profit applicants' success
clangstonhinton/demographic-data-analyzer
clangstonhinton/grape_choice_web_app
Create an interactive web dashboard with 3 visualizations using Flask, HTML, CSS, JavaScript, Leaflet, Plotly and a SQL database
clangstonhinton/sql-challenge
Leverage SQL to perform data modeling, data engineering, and data analysis
clangstonhinton/What2Watch2Nite
Machine Learning Recommendation Engine using KNN
clangstonhinton/Home_Sales
Utilize PySpark and Spark SQL on Google Colab, to analyze homes sales data and determine key metrics.
clangstonhinton/interactive-visualizations
Use JavaScript, HTML, css, D3 and Plotly to build an interactive dashboard application
clangstonhinton/mapping-leaflet-challenge
Visualize earthquake data for past 7 days using Javascript, Leaflet mapping library, HTML, CSS, Bootstrap and JSON files.
clangstonhinton/matplotlib-challenge
Analyze pharmaceutical testing data, plot and summarize findings
clangstonhinton/pandas-challenge
Employ pandas to analyze data of school academic performance across various KPIs
clangstonhinton/python-api-challenge
Use APIs to extract and analysis weather and geo data
clangstonhinton/python-challenge
Analyze banking and election data with Python scripts
clangstonhinton/sqlalchemy-challenge
Leverage SQLAlchemy to connect to a sqlite database to perform data analytics and create a climate app to house the analysis
clangstonhinton/VBA-Challenge
Use VBA scripts to loop through 3 years of stock data and output data analysis
clangstonhinton/web-scraping-challenge
Built web application that scrapes various websites for data related to the Mission to Mars and displayed the information in a single HTML page
clangstonhinton/web-visualization-challenge
Use Python, HTLM and CSS to create a visualization dashboard website housing data analytics