payal-dh Goto Github PK

belly_button-challenge

citi-bike-tableau

Using Tableau , I have created a database showing how the New York Biking program helps the public by using the demographic data using the Citi Bike Data website

credit-risk-classification

Evaluating a model based on loan risk. Using a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.

crowdfunding_elt

cryptoclustering

Leveraging my expertise in unsupervised learning and Python programming, my task is to determine whether cryptocurrencies are impacted by changes in prices over a 24-hour or 7-day period. The objective is to develop a predictive model that can identify any potential correlation between cryptocurrency prices and these specific timeframes.

deep-learning-challenge

Alphabet Soup, a nonprofit foundation, needs a tool to identify applicants with the highest likelihood of success in their ventures to receive funding. Using machine learning and neural networks, a binary classifier will be developed using the features in the provided dataset to predict whether an applicant will be successful if funded by Alphabet.

excel-challenge

Crowdfunding platforms like Kickstarter and Indiegogo have gained immense popularity since the late 2000s, enabling both independent and well-known creators to launch products and create buzz. However, not all projects on these platforms succeed. I will analyze a database of 1,000 sample projects to identify hidden trends.

healthcare_employee_attrition

Evaluate employee retention and attrition rates by various factors based on the healthcare sector database in the US.

home_sales

By utilizing SparkSQL to extract important metrics from home sales data. Subsequently, I employed Spark to create temporary views, partition the data, cache and uncache a temporary table, and confirm that the table has been successfully uncached.

inflation-and-its-effects

leaflet_challenge

USGS needs a new set of tools to visualize their massive amounts of earthquake data collected worldwide. I created a visualization method to convey USGS data to the public and government organizations. The goal is to enhance awareness and understanding of planet-related issues, potentially securing more funding for future projects.

mars_news

matplotlib_challange

nosql-challenge

pandas-challenge

parkinsonsprogressionmodel

We aim to predict PD progression by analyzing MDS-UPDRS scores, which assess both motor and non-motor symptoms. Using protein and peptide data from both PD patients and healthy controls, we aim to uncover molecular changes and make groundbreaking discoveries about the disease.

python-api-challenge

python-challenge

sql-challenge

sqlalchemy-challenge