This is a project for analysis and estimation of House Prices in King County USA The .csv file contains the data of the house and the .ipynb file contians the analysis and code This project is done on Jupyter notebook The project uses Linear Regression and Pipeline() to fit and predict the prices.
This is an analysis and prediction project for house prices in King County, USA based on certain features of the house
Overview
scikit-survival is a Python module for survival analysis built on top of scikit-learn.
scikit-survival scikit-survival is a Python module for survival analysis built on top of scikit-learn. It allows doing survival analysis while utilizi
876 Jan 04, 2023
Pyspark Spotify ETL
This is my first Data Engineering project, it extracts data from the user's recently played tracks using Spotify's API, transforms data and then loads it into Postgresql using SQLAlchemy engine. Data
16 Jun 09, 2022
Projects that implement various aspects of Data Engineering.
DATAWAREHOUSE ON AWS The purpose of this project is to build a datawarehouse to accomodate data of active user activity for music streaming applicatio
2 Oct 14, 2021
Stock Analysis dashboard Using Streamlit and Python
StDashApp Stock Analysis Dashboard Using Streamlit and Python If you found the content useful and want to support my work, you can buy me a coffee! Th
27 Dec 09, 2022
Basis Set Format Converter
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
3 Jun 27, 2022
Datashredder is a simple data corruption engine written in python. You can corrupt anything text, images and video.
Datashredder is a simple data corruption engine written in python. You can corrupt anything text, images and video. You can chose the cha
2 Jul 22, 2022
A stock analysis app with streamlit
StockAnalysisApp A stock analysis app with streamlit. You select the ticker of the stock and the app makes a series of analysis by using the price cha
50 Nov 27, 2022
Using Python to derive insights on particular Pokemon, Types, Generations, and Stats
Pokémon Analysis Andreas Nikolaidis February 2022 Introduction Exploratory Analysis Correlations & Descriptive Statistics Principal Component Analysis
1 Feb 18, 2022
Project: Netflix Data Analysis and Visualization with Python
Project: Netflix Data Analysis and Visualization with Python Table of Contents General Info Installation Demo Usage and Main Functionalities Contribut
2 Feb 13, 2022
A tax calculator for stocks and dividends activities.
Revolut Stocks calculator for Bulgarian National Revenue Agency Information Processing and calculating the required information about stock possession
200 Oct 25, 2022
Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era.
Overview docs tests package Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era
193 Nov 29, 2022
Fitting thermodynamic models with pycalphad
ESPEI ESPEI, or Extensible Self-optimizing Phase Equilibria Infrastructure, is a tool for thermodynamic database development within the CALPHAD method
42 Sep 12, 2022
Maximum Covariance Analysis in Python
xMCA | Maximum Covariance Analysis in Python The aim of this package is to provide a flexible tool for the climate science community to perform Maximu
39 Jan 03, 2023
Catalogue data - A Python Scripts to prepare catalogue data
catalogue_data Scripts to prepare catalogue data. Setup Clone this repo. Install
3 Mar 03, 2022
Validation and inference over LinkML instance data using souffle
Translates LinkML schemas into Datalog programs and executes them using Souffle, enabling advanced validation and inference over instance data
7 Aug 07, 2022
PyTorch implementation for NCL (Neighborhood-enrighed Contrastive Learning)
NCL (Neighborhood-enrighed Contrastive Learning) This is the official PyTorch implementation for the paper: Zihan Lin*, Changxin Tian*, Yupeng Hou* Wa
73 Jan 03, 2023
We're Team Arson and we're using the power of predictive modeling to combat wildfires.
We're Team Arson and we're using the power of predictive modeling to combat wildfires. Arson Map Inspiration There’s been a lot of wildfires in Califo
3 Oct 17, 2021
Helper tools to construct probability distributions built from expert elicited data for use in monte carlo simulations.
Elicited Helper tools to construct probability distributions built from expert elicited data for use in monte carlo simulations. Credit to Brett Hoove
3 Nov 04, 2022
Binance Kline Data With Python
Binance Kline Data by seunghan(gingerthorp) reference https://github.com/binance/binance-public-data/ All intervals are supported: 1m, 3m, 5m, 15m, 30
5 Jul 13, 2022
INFO-H515 - Big Data Scalable Analytics
INFO-H515 - Big Data Scalable Analytics Jacopo De Stefani, Giovanni Buroni, Théo Verhelst and Gianluca Bontempi - Machine Learning Group Exercise clas
58 Dec 11, 2022