Bhav S.'s repositories
belly-button-challenge
Built an interactive dashboard to explore the Belly Button Biodiversity, which catalogs the microbes that colonize human navels. The dataset reveals that a small handful of microbial species (also called operational taxonomic units, or OTUs, in the study) were present in more than 70% of people, while the rest were relatively rare. (Robdunnlab.com)
credit-risk-classification
The main aim of this challenge is to create a model that can identify the creditworthiness of borrowers.
CryptoClustering
The purpose of this project is to analyze and cluster cryptocurrencies based on their price change percentage over different time periods.
Project3-DataViz
DataViz
deep-learning-challenge
Created a binary classifier that can predict whether applicants will be successful if funded by the company.
Home_Sales
Used the knowledge of SparkSQL to determine key metrics about home sales data and used Spark to create temporary views, partition the data, cache and uncache a temporary table, and verify that the table has been uncached.
leaflet-challenge
The US Geological Survey (USGS) provides scientific data on natural hazards, climate, etc. They aim visualise earthquake data, as they gather extensive global data daily but lack an effective display method. This solution aims to educate the public and government organizations while attracting more funding to address critical planetary challenges.
nosql_challenge
Evaluation of food hygiene ratings in order to help journalists and food critics decide where to focus future articles by using nosql and mongo db skills
python_challenge
Challenge 3 Week 3
Web-Scraping-Challenge
Using Beautiful Soup and automated browsing, I extracted Mars information from two sources. Part 1 scraped titles and preview text from news articles. Part 2 scraped and analyzed Mars weather data to gain insights into climate patterns. Both approaches provided valuable data to understand the trends.