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
Using Python to scrape some basic player information from www.premierleague.com and then use Pandas to analyse said data.
PremiershipPlayerAnalysis Using Python to scrape some basic player information from www.premierleague.com and then use Pandas to analyse said data. No
Program that predicts the NBA mvp based on data from previous years.
NBA MVP Predictor A machine learning model using RandomForest Regression that predicts NBA MVP's using player data. Explore the docs » View Demo · Rep
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms
MatrixProfile MatrixProfile is a Python 3 library, brought to you by the Matrix Profile Foundation, for mining time series data. The Matrix Profile is
MoRecon - A tool for reconstructing missing frames in motion capture data.
MoRecon - A tool for reconstructing missing frames in motion capture data.
Working Time Statistics of working hours and working conditions by industry and company
Working Time Statistics of working hours and working conditions by industry and company
International Space Station data with Python research 🌎
International Space Station data with Python research 🌎 Plotting ISS trajectory, calculating the velocity over the earth and more. Plotting trajector
Analytical view of olist e-commerce in Brazil
Analysis of E-Commerce Public Dataset by Olist The objective of this project is to propose an analytical view of olist e-commerce in Brazil. For this
Python package for analyzing sensor-collected human motion data
Python package for analyzing sensor-collected human motion data
Accurately separate the TLD from the registered domain and subdomains of a URL, using the Public Suffix List.
tldextract Python Module tldextract accurately separates the gTLD or ccTLD (generic or country code top-level domain) from the registered domain and s
INF42 - Topological Data Analysis
TDA INF421(Conception et analyse d'algorithmes) Projet : Topological Data Analysis SphereMin Etant donné un nuage des points, ce programme contient de
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
ZhuSuan is a Python probabilistic programming library for Bayesian deep learning, which conjoins the complimentary advantages of Bayesian methods and
A pipeline that creates consensus sequences from a Nanopore reads. I
A pipeline that creates consensus sequences from a Nanopore reads. It clusters reads that are similar to each other and creates a consensus that is then identified using BLAST.
Python ELT Studio, an application for building ELT (and ETL) data flows.
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.
t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology.
tree-SNE t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology. Building on recent advances in s
Instant search for and access to many datasets in Pyspark.
SparkDataset Provides instant access to many datasets right from Pyspark (in Spark DataFrame structure). Drop a star if you like the project. 😃 Motiv
Modular analysis tools for neurophysiology data
Neuroanalysis Modular and interactive tools for analysis of neurophysiology data, with emphasis on patch-clamp electrophysiology. Functions for runnin
Analysiscsv.py for extracting analysis and exporting as CSV
wcc_analysis Lichess page documentation: https://lichess.org/page/world-championships Each WCC has a study, studies are fetched using: https://lichess
BigDL - Evaluate the performance of BigDL (Distributed Deep Learning on Apache Spark) in big data analysis problems
Evaluate the performance of BigDL (Distributed Deep Learning on Apache Spark) in big data analysis problems.
Using approximate bayesian posteriors in deep nets for active learning
Bayesian Active Learning (BaaL) BaaL is an active learning library developed at ElementAI. This repository contains techniques and reusable components
PATC: Introduction to Big Data Analytics. Practical Data Analytics for Solving Real World Problems
PATC: Introduction to Big Data Analytics. Practical Data Analytics for Solving Real World Problems