100daysofpython

100 days, 1 hour per day, learn to build 1 project per day, this is how you master Python.

agentgpt

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

amazon_vine_analysis

Perform ETL process to extract data, transform data, connect to AWS RDS instance and load into pgAdmin. Use PySpark to determine if any favorable bias towards paid reviews is present.

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

belly_button_biodiversity

We will analyze data collected from bacteria samples taken from volunteers across the country. Using the analysis, we will create a dashboard that will show the results. The collected sample data is stored in a .json file which we will use through JavaScript and create a dashboard the contains three different graphs and a drop-down menu. A user can use the drop-down menu to look through the samples by ID number and the graphs will change to the corresponding ID numbers information.

best-readme-template

An awesome README template to jumpstart your projects!

bike_sharing

Using Tableau, analyze data from NYC citiBike program for possible implementation in Des Moines, Iowa.

boyerjason

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

boyerjason700

challenge

credit_risk_analysis

Analyze credit card risk by training six Machine Learning models and evaluating each outcome.

cryptocurrencies

Using data from CryptoCompare, we will preprocess the data for PCA, reduce data dimensions using PCA, cluster cryptocurrencies using K-means and visualize the results.

election_analysis

Using Python to produce election audit and find results.

final_project

Can we predict the winner of the 2022 NBA season using Machine Learning?

gazetracker

A gaze tracking application that gives you awesome heatmaps!

github-stats

Automatically generate summary GitHub statistics images for your profile using Actions, no server required

images

Image dump

kickstarter-analysis

Excel data analysis to uncover trends in Kickstarter campaigns

krisograbek

Config files for my GitHub profile.

mapping_earthquakes

Using Javascript, Leaflet and Mapbox, the purpose of this project is to visually show the differences between the magnitudes of earthquakes all over the world for the last seven days.

mechacar_statistical_analysis

Using R, we will perform various statistical test, visualizations and interpret the results. Linear regressions, one sample T-test, two sample T-tests, ANOVA, A/B and A/A testing.

mission_to_mars

Automate a browser to scrape multiple sites to extract data and images (Beautifulsoup, Splinter). Once extracted, storing the info in a NoSQL database (MongoDB). Then using Flask, create a web application to display the data and images.

moviesetl

Automating the ETL process by creating one function to extract multiple data sets from Wikipedia and Kaggle, transform the data sets and clean out any null or unwanted data and then combine these data sets into a workable form and load them into a SQL database.

nba_webpage

neural_network_charity_analysis

Using Machine Learning and Neural Networks, create a binary classifier that is capable of predicting whether applicants will be successful if funded by Alphabet Soup.

pewlett-hackard-analysis

Pewlett-Hackard is looking towards the future by analyzing its current workforce to identify who will be eligible for retirement this year and how many positions will need to be filled.

powerbi-macguyver-toolbox

Power BI report .pbip templates and patterns to create special visuals, address specific problems, and have adventures..

project-1

pyber_analysis

Perform an exploratory analysis using data from PyBer, a python based rideshare app company. Create visualizations using MatPlotLib.

pythonml

Machine-Learning-Projects-Python