You will anaylize a dataset of the global average sea level change since 1880. You will use the data to predict the sea level change through year 2050.
Global Average Absolute Sea Level Change, 1880-2014 from the US Environmental Protection Agency using data from CSIRO, 2015; NOAA, 2015. https://datahub.io/core/sea-level-rise
Evaluation of a Monocular Eye Tracking Set-Up As part of my master thesis, I implemented a new state-of-the-art model that is based on the work of Che
Predicting 10-Year Treasury Yields Intitially, I wanted to see if the volatility in the stock market, represented by the VIX index (data source), had
YAWPS Yet Another Workflow Parser for SecurityHub "Screaming pepper" by Rum Bucolic Ape is licensed with CC BY-ND 2.0. To view a copy of this license,
ElasticBatch Elasticsearch buffer for collecting and batch inserting Python data and pandas DataFrames Overview ElasticBatch makes it easy to efficien
ETL framework based on Yaml configs in Python A light framework for creating data streams. Setting up streams through configuration in the Yaml file.
Chatistics Python 3 scripts to convert chat logs from various messaging platforms into Pandas DataFrames. Can also generate histograms and word clouds
Numba A Just-In-Time Compiler for Numerical Functions in Python Numba is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaco
Dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
The Python Extract, Load, Transform Studio is an application for performing ELT (and ETL) tasks. Under the hood the application consists of a two parts.
ASTR 302, Winter 2022, University of Washington: Python for Astronomy Mario Jurić Location When: 2:30-3:50, Monday & Wednesday, Winter quarter 2022 Wh
PyFunctional Features PyFunctional makes creating data pipelines easy by using chained functional operators. Here are a few examples of what it can do
smart-city-predictions System prognostyczny dedykowany dla danych inteligentnych miast Praca inżynierska realizowana przez Michała Stawikowskiego and
pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive.
NCL (Neighborhood-enrighed Contrastive Learning) This is the official PyTorch implementation for the paper: Zihan Lin*, Changxin Tian*, Yupeng Hou* Wa
Contents LDP LinUCB Description Model Architecture Dataset Environment Requirements Script Description Script and Sample Code Script Parameters Launch
Basis Set Format Converter Repository for the online tool that allows you to enter a basis set in the form of text input for a variety of Quantum Chem
aCe - Data-Centric Parallel Programming Decoupling domain science from performance optimization. DaCe is a parallel programming framework that takes c
INFO-H515 - Big Data Scalable Analytics Jacopo De Stefani, Giovanni Buroni, Théo Verhelst and Gianluca Bontempi - Machine Learning Group Exercise clas
The repo for mlbtradetrees.com. Analyze any trade in baseball history!
Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python 📊
19 Dec 17, 2022
10 Oct 27, 2021
8 Dec 22, 2022
21 Mar 16, 2022
18 Jul 06, 2022
893 Jan 02, 2023
8.2k Jan 07, 2023
6.3k Jan 08, 2023
55 Nov 18, 2022
4 Jan 12, 2022
2.1k Jan 05, 2023
1 Nov 08, 2021
36.4k Jan 03, 2023
73 Jan 03, 2023
4 Oct 25, 2022
3 Jun 27, 2022
330 Dec 30, 2022
58 Dec 11, 2022
7 Nov 20, 2022
2 May 26, 2022