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analyze_with_python

To use Python on analyzing financial records in PyBank and analyzing votes in PyPoll. Results are exported to text files.

api_weatherpy_n_vacationpy

Analyzed the weather of 500+ cities using the OpenWeatherMap API. Displayed results using pandas, linear regressions via matplotlib, and a heatmap using Google Places API.

belly_button_biodiversity_plotly

Using Javascript and Plotly to design an interactive dashboard that analyzes belly button biodiversity

big_data_challenge

Big Data ETL using AWS RDS and PostgreSQL, and used PySpark to investigate whether Amazon Vine reviews are free of bias.

charity_funding_predictor

Neural network/deep learning model: Create, Train, Evaluate, and Optimize

citibike_with_tableau

Visualize 2020 Citi Bike data with Tableau.

coding-interview-university

A complete computer science study plan to become a software engineer.

cryptocurrency_clusters

Use unsupervised learning to cluster the Cryptocurrency using dimensionality reduction with PCA & t-SNE and K-Means.

education_etl

Extract, Transform, and Load data to PostgreSQL. Establish the database for further analysis.

employee_sql_erd

Create a table schema and ERD for employee data using PostgreSQL database.

leaflet_visualizing_earthquake

D3, Leaflet, Mapbox and HTML are used to create an interactive map that plots earthquake data from the USGS.

mission_to_mars_web_scrapping

Build a web application that scrapes various websites for data related to the Mission to Mars and displays the information in a single HTML page. MongoDB is used with Flask to deploy results to an HTML page.

pandas_with_heroes_of_pymoli

Analyzing the data for a gaming company for their most recent fantasy game Heroes of Pymoli, that breaks down the game's purchasing data into meaningful insights.

peiday

Config files for my GitHub profile.

peiday.github.io

My first page

power_of_matplotlib

Use Pandas and Matplotlib to analyzed anti-cancer pharmaceutical study results in 249 mice across various drug regiments.

predicting_credit_risk

Supervised Machine Learning model that attempts to predict whether a loan from LendingClub will become high risk or not.

student_performance_analysis_i

Our team analyzed and visualized the data we acquired from the National Assessment of Educational Progress. To find the correlation between funding sources and student performance.

student_performance_analysis_ii

student_performance_prediction

About Machine Learning Model that predicts student performance based on socioeconomic factors.

surf_with_sqlalchemy

Using SQLAlchemy ORM queries, and Pandas and Matplotlib in Python. A Flask API is created to store all the information.

vba_of_wall_street

Create a VBA script that will loop through all the stocks to summarize the data.

web-design-challenge

Use HTML, CSS, Bootstrap and Pandas to create a website displaying climate and weather data and visualizations.