Data Analytics on Genomes and Genetics

Related tags

Data AnalysisData-Analytics-on-Genomes-and-Genetics
Overview

Data-Analytics-on-Genomes-and-Genetics

Data Analytics performed on On genomes and Genetics dataset to predict genetic disorder and disorder subclass based on familial history and its effects.

This repository contains the visualisation, models and the source code as a part of the Final Project for the Data Analytics Course (UE19CS312) at PES University.

To run the code, make sure to include the test and train csv from this repository files in the same folder. The project can then be run cell by cell in order or by clicking the run all option by running the of Genomes and Genetics.ipynb file on google collab, jupyter notebook or any suitable platform.

Link to dataset - https://www.kaggle.com/aryarishabh/of-genomes-and-genetics-hackerearth-ml-challenge

Link to the video - https://drive.google.com/file/d/1s6c2P6uMhr8yOOZ62fS2h5Wx0dGasc9p/view

Team SIGMA

B Pravena - PES2UG19CS076

Lavanya Yavagal - PES2UG19CS904

Swarnamalya A S - PES2UG19CS418

Varna Satyanarayana - PES2UG19CS448

Owner
GitHub Repository
Reading streams of Twitter data, save them to Kafka, then process with Kafka Stream API and Spark Streaming

Using Streaming Twitter Data with Kafka and Spark Reading streams of Twitter data, publishing them to Kafka topic, process message using Kafka Stream

Rustam Zokirov 1 Dec 06, 2021
Py-price-monitoring - A Python price monitor

A Python price monitor This project was focused on Brazil, so the monitoring is

Samuel 1 Jan 04, 2022
Data imputations library to preprocess datasets with missing data

Impyute is a library of missing data imputation algorithms. This library was designed to be super lightweight, here's a sneak peak at what impyute can do.

Elton Law 329 Dec 05, 2022
A multi-platform GUI for bit-based analysis, processing, and visualization

A multi-platform GUI for bit-based analysis, processing, and visualization

Mahlet 529 Dec 19, 2022
Python Package for DataHerb: create, search, and load datasets.

The Python Package for DataHerb A DataHerb Core Service to Create and Load Datasets.

DataHerb 4 Feb 11, 2022
2019 Data Science Bowl

Kaggle-2019-Data-Science-Bowl-Solution - Here i present my solution to kaggle 2019 data science bowl and how i improved it to win a silver medal in that competition.

Deepak Nandwani 1 Jan 01, 2022
Hue Editor: Open source SQL Query Assistant for Databases/Warehouses

Hue Editor: Open source SQL Query Assistant for Databases/Warehouses

Cloudera 759 Jan 07, 2023
Average time per match by division

HW_02 Unzip matches.rar to access .json files for matches. Get an API key to access their data at: https://developer.riotgames.com/ Average time per m

11 Jan 07, 2022
Pypeln is a simple yet powerful Python library for creating concurrent data pipelines.

Pypeln Pypeln (pronounced as "pypeline") is a simple yet powerful Python library for creating concurrent data pipelines. Main Features Simple: Pypeln

Cristian Garcia 1.4k Dec 31, 2022
A collection of robust and fast processing tools for parsing and analyzing web archive data.

ChatNoir Resiliparse A collection of robust and fast processing tools for parsing and analyzing web archive data. Resiliparse is part of the ChatNoir

ChatNoir 24 Nov 29, 2022
A library to create multi-page Streamlit applications with ease.

A library to create multi-page Streamlit applications with ease.

Jackson Storm 107 Jan 04, 2023
Larch: Applications and Python Library for Data Analysis of X-ray Absorption Spectroscopy (XAS, XANES, XAFS, EXAFS), X-ray Fluorescence (XRF) Spectroscopy and Imaging

Larch: Data Analysis Tools for X-ray Spectroscopy and More Documentation: http://xraypy.github.io/xraylarch Code: http://github.com/xraypy/xraylarch L

xraypy 95 Dec 13, 2022
Python scripts aim to use a Random Forest machine learning algorithm to predict the water affinity of Metal-Organic Frameworks

The following Python scripts aim to use a Random Forest machine learning algorithm to predict the water affinity of Metal-Organic Frameworks (MOFs). The training set is extracted from the Cambridge S

1 Jan 09, 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

SIB Swiss Institute of Bioinformatics 22 Jan 08, 2023
Candlestick Pattern Recognition with Python and TA-Lib

Candlestick-Pattern-Recognition-with-Python-and-TA-Lib Goal Look at the S&P500 to try and get a better understanding of these candlestick patterns and

Ganesh Jainarain 11 Oct 07, 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
Statsmodels: statistical modeling and econometrics in Python

About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an

statsmodels 8k Dec 29, 2022
signac-flow - manage workflows with signac

signac-flow - manage workflows with signac The signac framework helps users manage and scale file-based workflows, facilitating data reuse, sharing, a

Glotzer Group 44 Oct 14, 2022
EOD Historical Data Python Library (Unofficial)

EOD Historical Data Python Library (Unofficial) https://eodhistoricaldata.com Installation python3 -m pip install eodhistoricaldata Note Demo API key

Michael Whittle 20 Dec 22, 2022
MoRecon - A tool for reconstructing missing frames in motion capture data.

MoRecon - A tool for reconstructing missing frames in motion capture data.

Yuki Nishidate 38 Dec 03, 2022