Dan Hively's repositories
Air-Passengers-Forecasting
All of the csv files and ipynb files required to run the Air Passengers Forecasting Project can be found in this repository. We implemented Auto Regression Algorithm to forecast the number of passengers for the period of next 5 years.
autoCV
clean CV LaTex template with GitHub Action that compiles and publishes new changes
CSE497-Data-Mining-
This repo contains the ipynb files of data mining tasks I performed during the CSE 497 course at Penn State
danhively.github.io
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DataWrangling
Learned how to find or scrape information from networks and manipulate that information to display trends. This was done in Python using Google Colab's .ipynb environment. Libraries used were Pandas, NumPy, Seaborn, Scipy, Matplotlib, SkLearn, and FacebookProphet.
Dengue-DrivenData
This repository contains all of the csv files, ipynb files, and competition submission csv files required for the Dengue competition hosted on DrivenData.org. DrivenData hosts data science competitions similar to Kaggle that aim to solve real-world problems in the most creative way possible.
Flipkart-Webscraping-Project
All of the csv files and ipynb files required to run the Web Scraping Sales Project can be found in this repository. We used the libraries such as Beautiful Soup to scrap data from the Flipkart website.
hack-the-boo-2022
Hack The Box's Halloween CTF
RbuWSL
Rsync backup using Windows Subsystem for Linux (RbuWSL). Backup your Windows files to external drive quickly using Rsync to copy only new and modified files
tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Full-Stack-Learning
This repo will contain multiple files, mainly in .ipynb format for a nice visual and interactive session.
Grayscale_images_to_color_images.ipynb
Using Autoencoder Grayscale images to color images
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ipynb_to_pdf
A streamlit app to convert ipynb files to PDFs
jupyter-ipynbs
Collection of ipynbs to learn and revise python
Machine_Learning_Assignments.ipynb
Machine_Learning_Assingments_GUVI
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
pentest-bookmarks
a collection of handy bookmarks
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks