Projects in Awesome Lists tagged with supervised-ml
A curated list of projects in awesome lists tagged with supervised-ml .
https://github.com/dmarks84/coursework_project_airfoil-noise-prediction
Project for IBM Data Engineering & Python course on ML & AI -- Created predictions for noise of an airfoil based on various physical features
apache-spark api automation data-modeling etl linear-algebra numpy pandas pipelines python regression statistics supervised-ml
Last synced: 13 Apr 2026
https://github.com/dmarks84/ind_project_california-housing-data--kaggle
Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.
cross-validation data-modeling data-reporting data-visualization eda folium grid-search matplotlib model-evaluation numpy pandas pca python seaborn sklearn statistics supervised-ml unsupervised-ml
Last synced: 08 Apr 2026
https://github.com/dmarks84/coursework_project_ml-classifier-eval-selection
Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.
classification cross-validation data-modeling data-reporting data-visualization databases dataframes eda grid-search matplotlib numpy pandas python scikit-learn statistics supervised-ml
Last synced: 02 Apr 2026
https://github.com/dmarks84/coursework_capstone_spacex_predictions
Final Project for IBM Data Science Professional Certificate -- Applied all skills and methods utilized in the series of courses for this certification to predict the success of SpaceX landings; issued full report to stakeholders
api classification dash eda folium linear-algebra matplotlib mysql numpy pandas plotly probability python seaborn sql statistics supervised-ml technical-writing web-scraping
Last synced: 08 Apr 2026
https://github.com/dmarks84/ind_project_superstore-sales-time-series-analysis--kaggle
Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2.
chloropleth data-modeling data-visualization eda linear-regression matplotlib numpy pandas python seaborn sklearn statistics statsmodels supervised-ml time-series-analysis
Last synced: 09 Apr 2026
https://github.com/dmarks84/ind_project_obesity-multi-class-classification--kaggle
Independent Project - Kaggle Competition -- I worked on the obesity classification data set as part of a Kaggle Competition of the same name, scoring (for accuracy) above 0.9
classification correlation-analysis cross-validation data-modeling data-visualization dataframes eda gridsearchcv matplotlib multiclass-classification numpy pandas python seaborn sklearn statistics supervised-ml
Last synced: 11 Apr 2026
https://github.com/dmarks84/coursework_project_text-mining-spam-analysis
Project for University of Michigan Applied Data Science Specialization -- Performed NLP in order to build features of email messages; trained various classification models to help predict if a message was spam.
classification databases eda nlp numpy pandas python scikit seaborn sentiment-analysis statistics supervised-ml text-mining unsupervised-ml visualization
Last synced: 11 Apr 2026
https://github.com/dmarks84/coursework_project_ml-classification
Project for IBM Data Science course on Machine Learning -- Trained ML models for classification, evaluating based on a variety of metrics
classification communication data-modeling dataframes numpy pandas python scikit-learn supervised-ml
Last synced: 11 Apr 2026
https://github.com/dmarks84/ind_project_new-topic-nlp-analysis-classification--kaggle
Independent Project - Kaggle Dataset-- I worked with the News Category Dataset, which provided a headline and description, etc. in .json format; used NLTK for NLP, tokenizing, lemmatizing, and finding part-of-speech; trained and tuned parameters on classifier models to predict news category based on headline text.
classification hyperparameter-tuning json lemmatization model-evaluation model-refinement nlp nltk pandas python sklearn supervised-ml
Last synced: 11 Apr 2026
https://github.com/dmarks84/ind_project_data-science-london-scikit-learn--kaggle
Independent Project - Kaggle Competition -- I worked on the Data Science London data set for the Data Science London + Scikit-learn competition.
classification cross-validation data-modeling data-reporting data-visualization dataframes eda grid-search matplotlib numpy pandas python sklearn statistics supervised-ml
Last synced: 06 Apr 2026
https://github.com/dmarks84/coursework_project_network-analysis-node-link-prediction
Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)
classification cross-validation data-reporting databases eda grid-search matplotlib network-analysis numpy pandas python scikit-learn statistics supervised-ml visualization
Last synced: 13 Apr 2026
https://github.com/dmarks84/coursework_project_ml-model-eval-refine
Project for IBM Data Science course on ML Models & Analysis -- Read in large dataset of home sales and utilized polynomial linear regression analysis to make predictions of future home sales prices
classification communication data-modeling dataframes machine-learning matplotlib numpy pandas programming python regression scikit-learn scipy seaborn supervised-ml visualization
Last synced: 09 Apr 2026