pkibuchi's Projects
š¢ Ready to learn or review your knowledge! You will learn 10 skills as data scientist: š Python, Machine Learning, Deep Learning, Data Cleaning, EDA, python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
100 Days of ML Coding
Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
The most cited deep learning papers
A curated list of awesome Machine Learning frameworks, libraries and software.
A topic-centric list of HQ open datasets. PR āāā
Master programming by recreating your favorite technologies from scratch.
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
:mortar_board: Path to a free self-taught education in Computer Science!
Credit scoring machine learning algorithm which predicts probability of default
List of Computer Science courses with video lectures.
:bar_chart: Path to a free self-taught education in Data Science!
Cheat Sheets
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
Summaries, notes, questions on Deep Learning research papers.
A list of developer portfolios for your inspiration
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
FMA: A Dataset For Music Analysis
From the Transistor to the Web Browser, a rough outline for a 12 week course
The top 500 highest paying companies based on median software engineer total comp on levels.fyi as of 12/1/23.
š¤ Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
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A massive repo filled with notes on everything from coding to philosophy to psychology to marketing to product
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.