My notebook on using Python with Jupyter Notebook, PySpark etc
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Updated
Aug 25, 2021 - Jupyter Notebook
My notebook on using Python with Jupyter Notebook, PySpark etc
Implementation of Spark code in Jupyter notebook. Topics include: RDDs and DataFrame, exploratory data analysis (EDA), handling multiple DataFrames, visualization, Machine Learning
High performance, editable, stylable datagrids in jupyter and jupyterlab
This repo houses a Jupyter Notebook which is intended to walk you through Gradient Descent Algorithm from scratch.
A JupyterLab extension providing, SQL formatter, auto-completion, syntax highlighting, Spark SQL and Trino
Compile daily, weekly and monthly reports, for different departments. I have created this project to automate data analysis to really help me cut down on times around 10 times faster than before
O objetivo desse projeto foi desenvolver uma breve análise estatística descritiva sobre os 36 funcionários cadastrados na seção de orçamentos da Companhia Milsa.
Jupyter Notebook for Data Analysis of Covid19 dataset using DataFrames. Please refer to the README.md file for the tasks covered in this Notebook.
Interactive EDA tool to explore pandas DataFrames — via Python, notebooks & Docker
Exploratory data analysis projects using Jupyter Notebook
Explore capabilities of Colab notebooks using Stack Overflow data
Notebook to move images according to their labels in a pandas dataframe
Build plots based on data provided by World Bank using Jupiter Notebook and ipywidgets package.
Used Pandas on Jupyter Notebooks to clean and analyze grades and student performances across a district.
This repository contains analysis done with spark dataframe in Google Cloud Platform using Zeppelin Notebook and HDFS
Includes all of my Jupyter Notebook assignments from my time at MIT's Break Through AI/ML Program.
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