eric-g-romano Goto Github PK

aws_certification_practice

creating_successful_video_content

An analysis for creating successful original video content

customer_satisfaction

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

dsc-accessing-data-with-pandas-lab

dsc-analyzing-macbeth-project-v2-1

dsc-data-visualization-with-pandas

dsc-getting-started-with-numpy-lab

dsc-importing-data-using-pandas-lab

dsc-pandas-series-and-dataframes-lab

dsc-project-eda-with-pandas

dsc-statistical-methods-in-pandas-lab

dsc-subplots-and-enumeration-lab

eric-g-romano

Config files for my GitHub profile.

ethereum-close-prediction-model

A prediction model was created to classify if the Ethereum market will close higher or lower than the day before from features extracted from a sentiment analysis and financial analytical tools.

excel-to-python-data-science-intro-000

floats_data_visualization

git_practice

housing_price_prediction_model

jupyter-notebook-introduction-data-science-intro-000

langchain-resturant-project

LLM beginner project

learn-co-sandbox

microsoft_azure_cert_practice

mortgage-loan-denial-classification

A mortgage application prediction model was created using supervised learning techniques, such as a Decision Tree. Providing recommendations for minorities to increase their chance in being approved.

multiple-linear-regression-model-for-king-county

Applying a Linear regression model on home features in King County, Washington State to predict the sale price of a home in that area.

nlp_disater_tweets

You are predicting whether a given tweet is about a real disaster or not. If so, predict a 1. If not, predict a 0.

py-lists-with-maps-data-science-intro-000

python-dictionaries-readme-data-science-intro-000

python-lists-lab-data-science-intro-000

python-lists-readme-data-science-intro-000