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
An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R
largeVis This is an implementation of the largeVis algorithm described in (https://arxiv.org/abs/1602.00370). It also incorporates: A very fast algori
336 May 25, 2022
Uses MIT/MEDSL, New York Times, and US Census datasources to analyze per-county COVID-19 deaths.
Covid County Executive summary Setup Install miniconda, then in the command line, run conda create -n covid-county conda activate covid-county conda i
1 Dec 22, 2021
Ejercicios Panda usando Pandas
Readme Below we add configuration details to locally test your application To co
1 Jan 22, 2022
Creating a statistical model to predict 10 year treasury yields
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
10 Oct 27, 2021
WithPipe is a simple utility for functional piping in Python.
A utility for functional piping in Python that allows you to access any function in any scope as a partial.
1 Oct 26, 2021
PySpark Structured Streaming ROS Kafka ApacheSpark Cassandra
PySpark-Structured-Streaming-ROS-Kafka-ApacheSpark-Cassandra The purpose of this project is to demonstrate a structured streaming pipeline with Apache
5 Nov 13, 2022
VevestaX is an open source Python package for ML Engineers and Data Scientists.
VevestaX Track failed and successful experiments as well as features. VevestaX is an open source Python package for ML Engineers and Data Scientists.
24 Dec 14, 2022
Using Data Science with Machine Learning techniques (ETL pipeline and ML pipeline) to classify received messages after disasters.
Using Data Science with Machine Learning techniques (ETL pipeline and ML pipeline) to classify received messages after disasters.
1 Feb 11, 2022
First steps with Python in Life Sciences
First steps with Python in Life Sciences This course material is part of the "First Steps with Python in Life Science" three-day course of SIB-trainin
22 Jan 08, 2023
Python library for creating data pipelines with chain functional programming
PyFunctional Features PyFunctional makes creating data pipelines easy by using chained functional operators. Here are a few examples of what it can do
2.1k Jan 05, 2023
small package with utility functions for analyzing (fly) calcium imaging data
fly2p Tools for analyzing two-photon (2p) imaging data collected with Vidrio Scanimage software and micromanger. Loading scanimage data relies on scan
3 Dec 14, 2022
A Python adaption of Augur to prioritize cell types in perturbation analysis.
A Python adaption of Augur to prioritize cell types in perturbation analysis.
2 Mar 29, 2022
Leverage Twitter API v2 to analyze tweet metrics such as impressions and profile clicks over time.
Tweetmetric Tweetmetric allows you to track various metrics on your most recent tweets, such as impressions, retweets and clicks on your profile. The
29 Oct 18, 2022
Analyzing Covid-19 Outbreaks in Ontario
My group and I took Covid-19 outbreak statistics from ontario, and analyzed them to find different patterns and future predictions for the virus
0 Jan 20, 2022
This tool parses log data and allows to define analysis pipelines for anomaly detection.
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
32 Nov 27, 2022
Finds, downloads, parses, and standardizes public bikeshare data into a standard pandas dataframe format
Finds, downloads, parses, and standardizes public bikeshare data into a standard pandas dataframe format.
2 Dec 01, 2021
Data Analytics on Genomes and Genetics
Data Analytics performed on On genomes and Genetics dataset to predict genetic disorder and disorder subclass. DONE by TEAM SIGMA!
1 Jan 12, 2022
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Introduction Graph Neural Networks (GNNs) have demonstrated
37 Dec 15, 2022
songplays datamart provide details about the musical taste of our customers and can help us to improve our recomendation system
Songplays User activity datamart The following document describes the model used to build the songplays datamart table and the respective ETL process.
1 Jul 13, 2021
A columnar data container that can be compressed.
Unmaintained Package Notice Unfortunately, and due to lack of resources, the Blosc Development Team is unable to maintain this package anymore. During
944 Dec 09, 2022