93 Open source projects that are alternatives of or similar to dqlab-career-track

Create HTML profiling reports from pandas DataFrame objects

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Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

exploratory data analysis using random forests

Ways of doing Data Science Engineering and Machine Learning in R and Python

A list of software and papers related to automatic and fast Exploratory Data Analysis

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OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

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Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes

Preliminary Exploratory Visualisation of Data

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Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

Jared Kushner and his partners used a program meant for job-starved areas to build a luxury skyscraper

HandySpark - bringing pandas-like capabilities to Spark dataframes

📌 This repo. Contains Basic - Advance level Machine learning / business analysis Projects. 👨‍💻

MetaOmGraph: a workbench for interactive exploratory data analysis of large expression datasets

skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.

NBi is a testing framework (add-on to NUnit) for Business Intelligence and Data Access. The main goal of this framework is to let users create tests with a declarative approach based on an Xml syntax. By the means of NBi, you don't need to develop C# or Java code to specify your tests! Either, you don't need Visual Studio or Eclipse to compile y…

Beautiful visualizations of how language differs among document types.

ADENINE: A Data ExploratioN PipelINE

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Single cell analysis in the browser

Solution of the Titanic Kaggle competition

Python API for Intelligent Visual Data Discovery

Kernel Density Estimation in Python

Easy way to define, execute and store quality rules for your data.

R package for exploratory data analysis

The furniture R package contains table1 for publication-ready simple and stratified descriptive statistics, tableC for publication-ready correlation matrixes, and other tables #rstats

A machine learning approach to classify songs by mood.

🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Extra tidyverse-like functionality

data⎰describe: Pythonic EDA Accelerator for Data Science

Tool for visual exploration of complex data.

Implementation of DenseNet model on Standford's MURA dataset using PyTorch

A data layer quality monitoring and validation module, this solution is part of the Raft Suite ecosystem.

Code for PerCom Workshop paper title 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

Functionalities in Excel translated to Python

Data Inspector is an open-source python library that brings 15++ types of different functions to make EDA, data cleaning easier.

This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations

Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn

Complete-Life-Cycle-of-a-Data-Science-Project

Insurance fraud claims analysis project

Step-by-step exploratory movement data analysis protocol in a Jupyter notebook

Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐

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Data quality estimations for OpenStreetMap

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Classification of Breast Cancer diagnosis Using Support Vector Machines

No description or website provided.

A Toolkit for Interactive Statistical Data Visualization

hive_compared_bq compares/validates 2 (SQL like) tables, and graphically shows the rows/columns that are different.