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Helena Fedorenko's Projects

credit-risk-classification icon credit-risk-classification

Using various techniques to train and evaluate a model based on loan risk. Also, 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_etl icon crowdfunding_etl

Builded an ETL pipeline using Python, Pandas, Python dictionary methods and regular expressions to extract and transform the data. Created four CSV files and use the CSV file data to create an ERD and a table schema. Finally, uploaded the CSV file data into a Postgres database.

cryptoclustering icon cryptoclustering

The main objective of this project was to explore, evaluate and discover valuable insights, by leveraging the power of unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes.

deep-learning-challenge icon deep-learning-challenge

Using machine learning and neural networks, utilizing the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.

home_sales icon home_sales

Using SparkSQL, determined key metrics about home sales data. Then, I used Spark to create temporary views, partition the data, cache and uncache a temporary table, and verify that the table has been uncached.

nba-dashboard icon nba-dashboard

A collaborative project to develop a full-stack data visualization web application, using Python Flask-powered API, HTML/CSS, JavaScript, and SQLite database, which will allow users to interactively explore a dataset.

portfolio icon portfolio

A repository displaying a collection of my projects and accomplishments, demonstrating my skills and expertise in the world of coding and beyond.

sqlalchemy-challenge icon sqlalchemy-challenge

Climate Analysis and Data Exploration of climate database, using Python API and SQLAlchemy.

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