Ecosyste.ms: Awesome
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Projects in Awesome Lists by margaretkhendre
A curated list of projects in awesome lists by margaretkhendre .
https://github.com/margaretkhendre/nonprofit-funding-vs-deep-learning-challenge
In this repository, Google Colab is paired with neural networks and deep learning to examine data from the nonprofit, Alphabet Soup. This nonprofit desires a tool that can help it select applicants for funding, so a binary classifier will be created to predict whether applicants will be successful if funded by Alphabet Soup.
colab-notebook deep-neural-networks deeplearning jupyter-notebook neural-networks pandas standardscaler tensorflow
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/budget-election-analysis-vs-python-challenge
Python is used in this repository to analyze 2 challenges- PyBank and PyPoll. In PyPoll, a script is created to analyze and modernize a small town's vote-counting process. In PyBank, a script is created to analyze the financial records of a company.
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/weather-analysis-vs-python-api-challenge
In this repository, 2 scripts are created called, "WeatherPy" and "VacationPy", to visualize and analyze the weather of cities near the equator and determine future vacations plans, respectively. The Geoapify API is also used to complete this task.
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/credit-risk-classification-vs-supervised-machine-learning-challenge
In this repository, Google Colaboratory is paired with Supervised Machine Learning to evaluate a model based on loan risk. A dataset of historical lending activity is used to build a model that can identify the creditworthiness of borrowers.
jupyter-notebook pandas python sklearn-library supervised-machine-learning
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/crypto-clustering-vs-unsupervised-machine-learning-challenge
In this repository, Google Colaboratory is paired with Python and Unsupervised Machine Learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes.
python unsupervised-machine-learning
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/margaretkhendre.github.io
This repository includes javascript and html code that is used to create a website that displays different visualizations for multiple sets of data.
geojson html javascript leaflet
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/employee-analysis-vs-sql-challenge
SQL is used in this repository to examine the hiring process of a fictional company, Pewlett Hackard. Data modeling, data engineering, and a data analysis are displayed here.
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/climate-analysis-vs-sqlalchemy-challenge
SQLAlchemy is used to complete a climate analysis and data exploration of a climate database to help one plan a vacation trip. A Flask API is used to design a climate app. ORM queries, Pandas, and Matplotlib are also used to complete these tasks.
api matplotlib orm pandas sql sqlalchemy
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/food-hygiene-analysis-vs-nosql-challenge
In this repository, NoSQL is used to help journalists and food critics at UK Food Standards Agency determine where to focus future food hygiene rating articles. This is done by evaluating the ratings data.
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/earthquake-analysis-vs-leaflet-mapping-challenge
In this repository, Leaflet is used to build a new set of tools that visualize earthquke data for the US Geological Survey (USGS). This is to serve as an education aid to the public and other governement organizations on this issue.
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/biodiversity-vs-js-visualizations-challenge
In this repository, JavaScript is used with D3s to build an interactive dashboard that explores the microbes that colonize human navels in the 'Belly Button Biodiversity' dataset.
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/school-district-analysis-vs-pandas-challenge
In this repository, Pandas DataFrames are created and manipulated to analyze school and standardized test data. The purpose is to help the school board and mayor make strategic decisions regarding future school budgets and other priorities.
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/crowdfunding-analysis-vs-excel-challenge
Crowdfunding platforms are examined in this repository using Excel. A database of 1,000 sample projects are organized and analyzed to uncover any hidden trends.
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/drug-regimen-analysis-vs-matplotlib-challenge
In this repository, Matplotlib is used to analyze a pharmaceutical company that specializes in anti-cancer medications. The purpose of this analysis is to compare the performance of the drug "Capomulin" against other treatment regimens in mouse testing using tables and figures.
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/stock-market-analysis-vs-vba-challenge
VBA is used in this repository to analyze generated stock market data.
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/mars-articles-vs-data-scraping-challenge
In this repository, titles and preview text are scraped from Mars news articles in the part_1 Jupyter notebook. In the part_2 Jupyter notebook, Mars weather data is analyzed and scraped.
beautifulsoup html splinter webscraping
Last synced: 11 Nov 2024
https://github.com/margaretkhendre/home-sales-vs-big-data
In this repository, Google Collab is paired with SparkSQL to determine key metrics about home sales data. Spark is also used to create temporary views, partition data, and cache/unchache a temporary table in the process.
big-data googlecollab ipynb-jupyter-notebook pyspark spark sparksql sql
Last synced: 13 Nov 2024