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Projects in Awesome Lists by johannaschmidle

A curated list of projects in awesome lists by johannaschmidle .

https://github.com/johannaschmidle/abtesting-fashioncampaign

AB testing fror made up fashion E-Commerce company ChicBeads [Python, Tableau]

ab-testing ab-testing-analysis dashboard data-cleaning marketing marketing-campaigns python visualization

Last synced: 28 Feb 2025

https://github.com/johannaschmidle/bookauthors

Explored a book sales database. Cleaned data using Excel and created an interactive dashboard to analyze author popularity, ratings, and sales trends. The project highlighted key insights such as sales performance and rating distributions [Excel]

author-sales book-sales books data-analysis data-visualization excel

Last synced: 28 Feb 2025

https://github.com/johannaschmidle/scooby-doo-tv-project

Analyzing episode data from various Scooby Doo TV shows [SQL, Tableau]

dashboard data-cleaning episode-popularity scooby-doo tv

Last synced: 28 Feb 2025

https://github.com/johannaschmidle/amazon-cat-couch

Customer product reviews + ratings analysis and visualization [Python, Excel, Tableau, R]

data-analysis data-visualization jupyter-notebook python-notebook r-markdown sentiment-analysis text-analysis web-scraping

Last synced: 28 Feb 2025

https://github.com/johannaschmidle/gordon-ramsay-ai-tutor

AI Tutor Chatbot with the personality of Gordon Ramsay

chatbot gordon-ramsay openai openai-api tutor

Last synced: 28 Feb 2025

https://github.com/johannaschmidle/titanicsurvival

My code for the Titanic - Machine Learning from Disaster competition on Kaggle

Last synced: 28 Feb 2025

https://github.com/johannaschmidle/churnpredictionmodel

Machine learning models to predict customer churn in a bank using features like age, credit score, and account activity, implemented with Random Forest and GridSearchCV for optimal performance (Python)

customer-churn-prediction eda knearest-neighbor-classifier logistic-regression machine-learning randomforestclassifier svc-model xgboost-classifier

Last synced: 28 Feb 2025

https://github.com/johannaschmidle/netflix-subscription-analysis

Examined Netflix subscription data to understand market behaviour, predict future trends, and identify consumer preferences. [SQL, Tableau]

data-analysis data-cleaning data-trend data-visualization netflix

Last synced: 28 Feb 2025

https://github.com/johannaschmidle/chatbot-1

App for my Gordon Ramsay AI Tutor project

Last synced: 28 Feb 2025

https://github.com/johannaschmidle/road-collisions-project

Analyzed road accident data in the UK from 2019 to 2022 to identify patterns and trends in road accidents, for Effective Road Management [Excel]

data-analysis data-visualization excel pivot-tables traffic-analysis

Last synced: 28 Feb 2025

https://github.com/johannaschmidle/house-price-predictor

A machine learning model to accurately predict house prices based on various features such as quality, size, and location, utilizing Random Forest and XGBoost algorithms (Python)

anova-test cross-validation house-price-prediction machine-learning onehot-encoding ordinal-encoding python random-forest random-forest-regressors sklearn sklearn-library target-encoding visualization xgboost xgboost-model

Last synced: 07 Apr 2025

https://github.com/johannaschmidle/ufo-project

Exploring the Relationship Between UFOs, Location, Time, and Human Emotion [SQL, Python]

cluster-analysis data-exploration eda k-means-clustering location-analysis nltk-python sentiment-analysis time-analysis ufo-sightings wordcloud

Last synced: 28 Feb 2025