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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 up to 100 days, follow your own pace.

aas229_workshop

Using Python for Astronomical Data Analysis in the Era of JWST (Winter AAS 2017)

agile_data_code

Chapter-wise code for Agile Data the O'Reilly book

altaipony

THIS IS WORK IN PROGRESS. An improved and lean version of Appaloosa w/o extensive I/O, but with de-trending but using K2SC and lightkurve.

amz_reviewd_classificator

appaloosa

Python-based flare finding code for Kepler light curves.

appliance_pred

A machine learning project to predict Appliance energy consumption.

applied-ml

📚 Papers by organizations sharing their work on applied data science & machine learning.

astronomical_techniques

Introduction to astronomy research featuring short video lectures with (incomplete) Jupyter notebooks

atamaterials

Materials for the summer school "Advancing Theoretical Astrophysics", 14-26 July 2019

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

betalyzer

A fintech tutorial using Python

bigdata

Hands-On Big Data workshop materials

breast-cancer-wisconsin

Building Machine Learning Model to predict whether the cancer is benign or malignant on Breast Cancer Wisconsin Data Set

breast_cancer_ultrasound_classification

business-machine-learning

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

car-price-prediction

car_object_detection

chat-with-pdf-chatbot

This Chatbot is an interactive app developed to assist users to interact with their PDF. It is built using Open Source Stack. No OpenAI is required.

chestxray

chromeanalyzr

A simple R script that analyzes your chrome browser History.

cohere_tutorials

A repository for cohere LLM University tutorials

comedy-rating

A Machine Learning project to predict comedy rating

configuring-toolkits-for-data-science-and-deep-learning

This repo contains essentials of Configuring Toolkits for Data Science and Deep Learning (Pandas, DataFrames, Numpy, Scipy, Matplotlib, Seaborn, Bokeh, Statsmodel, Scikit Learn, Keras, Tensorflow, Apache Spark and etc.)

content

Official content for Harvard CS109

coronavirus_prediction

This project aims to predict the numbers that are published in each day regarding the amount of Coronavirus (COVID-19) cases and deaths.

cryptoboard

A simple crypto information dashboard

cs224u

Code for Stanford CS224u

dan_nlp_llm

Personal Learning Project for LLM

danselem.github.io