This repository was created in order for me to learn more about geopandas and as an introduction to geospatial data analysis. The non-exercise notebooks are made from articles in Towards Data Science, the exercises notebooks are simply applying what has been done in the non-exercise notebooks.
The dataset folder contains the eartquake dataset used in one of the exercise notebooks.
All the notebooks are fairly commented.
Thank you !
Humana-Mays-2021-HealthCare-Analytics-Case-Competition- The goal of the project is to utilize data analytics skills to solve real-world business probl
Leetcode compensations report Scraping and analysis of leetcode-compensations page.
Pokémon Analysis Andreas Nikolaidis February 2022 Introduction Exploratory Analysis Correlations & Descriptive Statistics Principal Component Analysis
Datashader is a data rasterization pipeline for automating the process of creating meaningful representations of large amounts of data.
logdata-anomaly-miner This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis wit
Pandas Tab Implementation of Stata's tabulate command in Pandas for extremely easy to type one-way and two-way tabulations. Support: Python 3.7 and 3.
unyt A package for handling numpy arrays with units. Often writing code that deals with data that has units can be confusing. A function might return
bachelor-thesis "Umfragewerte.xlsx" contains the orginal survey results. "umfrage_alle.csv" contains the survey results but one participant is cancele
Processo de ETL (extração, transformação, carregamento) realizado pela equipe no projeto final do curso da Soul Code Academy.
TensorFlow Probability TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFl
AWS Data Wrangler Pandas on AWS Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretMana
BIGDATA SIMULATION LIBRARY OF DREAM BY SANDMAN BOOKS ================= Solution Architecture Description In the realm of Dreaming, its ruler SANDMAN,
talkbox is a scikit for signal/speech processing, to extend scipy capabilities in that domain.
Stochastic Gradient Trees - Python Stochastic Gradient Trees1 by Henry Gouk, Bernhard Pfahringer, and Eibe Frank implementation in Python. Based on th
PyStan PyStan is a Python interface to Stan, a package for Bayesian inference. Stan® is a state-of-the-art platform for statistical modeling and high-
GPyTorch GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable, flexible, and modular Gaussian
Titanic-data-analysis This Repo is an analysis on Titanic_mod.csv This csv file contains some assumed data of the Titanic ship after sinking This full
Principal Component Analysis Principal Component Analysis (PCA) is a dimension-reduction algorithm. The idea is to use the singular value decompositio
U_analysis Universal data analysis tools for atmospheric sciences Script written in python 3. This file defines multiple functions that can be used fo
Nested Collaborative Learning for Long-Tailed Visual Recognition This repository is the official PyTorch implementation of the paper in CVPR 2022: Nes
1 Dec 27, 2021
96 Jan 01, 2023
1 Feb 18, 2022
2.9k Jan 06, 2023
32 Nov 27, 2022
20 Aug 27, 2022
304 Jan 02, 2023
1 Jan 26, 2022
1 Feb 03, 2022
3.8k Jan 05, 2023
3.3k Jan 04, 2023
3 Jun 30, 2022
76 Nov 30, 2022
2 Nov 18, 2022
229 Dec 29, 2022
3k Jan 02, 2023
1 Dec 26, 2021
1 Nov 06, 2021
1 Oct 10, 2021
65 Dec 09, 2022