Topic: supervised-ml Goto Github
Some thing interesting about supervised-ml
Some thing interesting about supervised-ml
supervised-ml,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
User: dmarks84
supervised-ml,Project for IBM Data Engineering & Python course on ML & AI -- Created predictions for noise of an airfoil based on various physical features
User: dmarks84
supervised-ml,Project for IBM Data Science course on Machine Learning -- Trained ML models for classification, evaluating based on a variety of metrics
User: dmarks84
supervised-ml,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.
User: dmarks84
supervised-ml,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
User: dmarks84
supervised-ml,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)
User: dmarks84
supervised-ml,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.
User: dmarks84
supervised-ml,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.
User: dmarks84
Home Page: https://www.kaggle.com/code/danpmarks/california-housing-prices-1990
supervised-ml,Independent Project - Kaggle Competition -- I worked on the Data Science London data set for the Data Science London + Scikit-learn competition.
User: dmarks84
Home Page: https://www.kaggle.com/code/danpmarks/dm84-data-science-london-sklearn
supervised-ml,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.
User: dmarks84
Home Page: https://www.kaggle.com/code/danpmarks/nlp-news-topic-analysis-classification
supervised-ml,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
User: dmarks84
Home Page: https://www.kaggle.com/code/danpmarks/obesity-multi-class-classification
supervised-ml,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.
User: dmarks84
Home Page: https://www.kaggle.com/danpmarks/superstore-time-series-analysis-part-1
supervised-ml,This repository is a related to all about Natural Langauge Processing - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)
User: hussain0048
Home Page: https://coursesteach.com
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.