Data Science/Analysis Health Care Portfolio Consists Of 3 Projects:
Mexico Covid-19 project, analyze the patient medical history data and try to predict if the patient will be Covid-19 Considered or not using ML Algorithms.Cancer Data and Find the main patterns and insights through the data.Brain Tumour Prediction Using CNN(Convolutional Neural Network).
timeranges Time ranges. Read the Docs Installation pip timeranges is available on pip: pip install timeranges GitHub You can also install the latest v
MDAnalysis Repository README [*] MDAnalysis is a Python library for the analysis of computer simulations of many-body systems at the molecular scale,
SPECTRUM : Spectral Analysis in Python contributions: Please join https://github.com/cokelaer/spectrum contributors: https://github.com/cokelaer/spect
A real data analysis and modeling project - restaurant inspections Jafar Pourbemany 9/27/2021 This project represents data analysis and modeling of re
Please consider citing the manuscript if you use apricot in your academic work! You can find more thorough documentation here. apricot implements subm
Python based Wikidata framework for easy dataframe extraction wikirepo is a Python package that provides a framework to easily source and leverage sta
Transform-Invariant Non-Negative Matrix Factorization A comprehensive Python package for Non-Negative Matrix Factorization (NMF) with a focus on learn
ETL Pipeline with Airflow, Spark, s3, MongoDB and Amazon Redshift
API to fetch elements of the periodic table in JSON format. Uses Pandas for dumping .csv data to .json and Flask for API Integration. Deployed on "pyt
eo-grow Earth observation framework for scaled-up processing in Python. Analyzing Earth Observation (EO) data is complex and solutions often require c
Data Scientist Learning Plan Demonstrate the breadth and depth of your data science skills by earning all of the Databricks Data Scientist credentials
About The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficien
Pandaral·lel Without parallelization With parallelization Installation $ pip install pandarallel [--upgrade] [--user] Requirements On Windows, Pandara
StatisticalDistributions statDistros statDistros is a Python library for dealing with various statistical distributions. Now it provides various stati
Intake: A general interface for loading data Intake is a lightweight set of tools for loading and sharing data in data science projects. Intake helps
Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python This project is a good starting point for those who have little
Python utility to extract differences between two pandas dataframes.
google_takeout_parser parses both the Historical HTML and new JSON format for Google Takeouts caches individual takeout results behind cachew merge mu
Otter-Grader Otter Grader is a light-weight, modular open-source autograder developed by the Data Science Education Program at UC Berkeley. It is desi
Asbuilt_Trax A simplified prototype for an as-built tracking database with API The purpose of this project is to: Model a database that tracks constru
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