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30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

a_review_for_ggplot2

academictwitter

Repo for academictwitteR package to query the Twitter Academic Research Product Track v2 API endpoint.

agactabanlialgoritmalar

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

ai-tools-for-research

application-for-phd-at-groningen-university-and-moving-to-the-netherlands

art

R package to create generative art.

awesome-mlss

List of summer schools in machine learning + related fields across the globe

bursa

chatgpt-retrieval

cnn-lstm

It is a pytorch implementation of CNN+LSTM model proposed by Kuang et al. for time series forecasting.

cobanov

composer

Train neural networks up to 7x faster

coronadatavisualization

course-notes---learning-python-for-data-analysis-and-visualization-by-jose-portilla

My notes for the course Learning Python for Data Analysis and Visualization on udemy.com

coursera-data-mining

Data Mining - University of Illinois at Urbana-Champaign

coursera_stats_1_understanding_visualizing_data

Course notes for Coursera course "Understanding and Visualizing Data," course 1 from "Statistics with Python" specialization.

cs231n.github.io

Public facing notes page

data-engineering-zoomcamp

Free Data Engineering course!

data-science-notes

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

dataviz

A book covering the fundamentals of data visualization

de0618

deep-learning-for-bci

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications

deploy-bert-for-sentiment-analysis-with-fastapi

Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch

dse220_machine_learning

This course provides a broad introduction to the practical side of machine-learning and data analysis. The topics covered in this class include topics in supervised learning, such as k-nearest neighbor classifiers, decision trees, boosting and perceptrons, and topics in unsupervised learning, such as k-means, PCA and Gaussian mixture models.

dtreeviz

A python library for decision tree visualization and model interpretation.

educational

eeglab

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

football_analytics

⚽📊 A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.