dereje-workneh Goto Github PK

100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

aiforearth-api-platform

The AI for Earth API Platform is a distributed infrastructure designed to provide a secure, scalable, and customizable API hosting, designed to handle the needs of long-running/asynchronous machine learning model inference. It is to be used with the AI For Earth API Framework (https://github.com/microsoft/AIforEarth-API-Development).

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

applying-gradient-descent-data-science-intro-000

applying-gradient-descent-lab-data-science-intro-000

applying-nearest-neighbors-data-science-intro-000

arset_ml_fundamentals

Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"

atom

:atom: The hackable text editor

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-earth-artificial-intelligence

A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.

awesome-gpt-prompt-engineering

A curated list of awesome resources, tools, and other shiny things for GPT prompt engineering.

awesome-traffic-prediction

Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.

azure-openai-demos

Azure Open AI (demos, documentation, accelerators).

calculating-distance-data-science-intro-000

calculating-distance-lab-data-science-intro-000

calculating-lines-data-science-intro-000

calculus-derivation-gradient-descent-data-science-intro-000

capstone-project

In this paper, we investigated whether public sentiment, as measured from tweets, is correlated or even predictive of stock values and specifically for 16 of the most popular tech companies according to Yahoo! Finance. Our results show that changes in the public sentiment can a↵ect the stock market. That means that we can indeed predict the stock market with high chances.

chat-copilot

complete-life-cycle-of-a-data-science-project

Complete-Life-Cycle-of-a-Data-Science-Project

completed_projects

conditionals-python-lab-data-science-intro-000

conditionals-python-readme-data-science-intro-000

coursera_capstone

crop-mask

End-to-end workflow for generating high resolution cropland maps

crop_yield_prediction

darts

A python library for user-friendly forecasting and anomaly detection on time series.

data-analytics-projects

:mag_right: Data analysis with real world data sets using Python :mag:

data-science

:bar_chart: Path to a free self-taught education in Data Science!