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jolynch / repository
My collection of various Jupyter notebooks and useful command line scripts for analyzing performance of services and code.
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My collection of various ipython notebooks and useful command line scripts for analyzing performance of all kinds of services and code. I also try to include useful tools for building or using other tools.
Note that this is not a python package you can install. All the scripts
strive to have as minimal dependencies as possible, and when they do have
dependencies they will list them in a per script requirements.txt file.
To get started check out the following directories:
Selected from shared topics, language and repository description—not editorial ratings.
rugantio /
A collection of notebooks of my Machine Learning class written in python 3
71/100 healthSaremS /
Loose collection of Jupyter notebooks, mostly for my blog
29/100 healthDuring my undergrad, I implemented a music recommendation system based on music digital track analysis. However, it's time for me to use text mining technology on lyrics to upgrade that project. Goals: (1)build a music mood(happy or sad) classifier based on lyrics analysis (2)what words and their distributions are in different mood categories? (3)How are the key words change in songs for the recent years? Project evaluation: (1)data collection: the training data and validation data will be collected from the largest lyric database on Lyricwiki.org (2)feature selection: the most common feature type to consider are BOW(bag of word) and POS(part of speech) combined with stemming using word-net (3)Training model : SVM, Naive Bayes using grid search method. (4)data visualization for goal two and three This project will be done using python on jupyter notebook. reference: Hu, X. (2010). Improving music mood classification using lyrics, audio and social tags (Doctoral dissertation, University of Arizona).
edmundhong /
This repository contains a collection of Jupyter notebooks that I have created to analyze Formula 1 data. The notebooks cover a wide range of topics, including race results, driver performance, and car performance. On top of that, I have created a number of visualizations to help illustrate my findings.
67/100 healthdrericstrong /
A collection of resources and Jupyter notebooks from my blog.
44/100 healthmaxzaikin /
Hello and welcome to my Data Science portfolio! This repository serves as a central hub showcasing a collection of my projects demonstrating skills and experience in data analysis, machine learning, and artificial intelligence. Each project folder contains Jupyter Notebooks with detailed code, explanations, and visualizations.
63/100 health