6686 Open source projects that are alternatives of or similar to Handyspark

Create HTML profiling reports from pandas DataFrame objects

Functionalities in Excel translated to Python

Updated repository

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

Apache Spark Connector for Azure Cosmos DB

A simple Spark TDD example

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Word2Vec models with Twitter data using Spark. Blog:

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

Apache Spark (PySpark) Practice on Real Data

🌐 Interactive Workshop on GeoAnalysis using PySpark

Jupyter magics and kernels for working with remote Spark clusters

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

Fundamentals of Spark with Python (using PySpark), code examples

Big Data for Data Engineers Coursera Specialization from Yandex

This repository contains data and code used to get and clean data from https://github.com/CSSEGISandData/COVID-19 and https://www.worldometers.info/coronavirus/

Examples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

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.

Udacity Data Engineering Nano Degree (DEND)

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

LearningApacheSpark

Relation Extraction using Deep learning(CNN)

A Scala kernel for Jupyter

🐍 Learn Python and Pandas from the ground up

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

Get, Concatenate and Process you location history from Google Maps TimeLine

Java library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs

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

Disease Prediction based on Symptoms.

Tutorial on Using Pandas

适合初级到中级晋升者，有了体系之后就看熟练度了。

Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request

Models and Pipelines for the Spark NLP library

Spark 2.0 Python Machine Learning examples

Credit Risk analysis by using Python and ML

Jupyter notebooks and datasets for the interesting pandas/python/data science video series.

《python数据分析与挖掘实战》项目实践及拓展

Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

PySpark Code for Hands-on Learners

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

🐍 Quick reference guide to common patterns & functions in PySpark.

General Assembly's 2015 Data Science course in Washington, DC

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

A pandas-like deferred expression system, with first-class SQL support

Jupyter notebook and datasets from the pandas Q&A video series

Visualize and compare datasets, target values and associations, with one line of code.

pyspark🍒🥭 is delicious，just eat it!😋😋

Code, Notebooks and Examples from Practical Business Python

Jupyter Notebook extension leveraging pandas DataFrames by integrating DataTables and ChartJS.

Collaborate on privacy-preserving policy for data science projects in Pandas and Apache Spark

Achieve your marketing goals with the data analytics power of Python

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Data science and Big Data with Python

Python based framework to retreive Global Database of Events, Language, and Tone (GDELT) version 1.0 and version 2.0 data.

Collection of jupyter notebooks

This repository consists of all my Machine Learning Projects.

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

Pandas and Spark DataFrame comparison for humans