This repository consists of famous command line python projects in pycharm.
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Updated
Sep 14, 2023 - Jupyter Notebook
The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
This repository consists of famous command line python projects in pycharm.
This is a data analysis of Vehicles make in Canada by their CO2 emissions into the environment using python in Jupyter notebooks. Later in the notebook, there is the analysis of bicycle sales data using Microsoft SQL server integretion.
This repo features Python-based Jupyter notebooks covering data science techniques like data cleaning, EDA, statistical modeling, ML, and visualization. With detailed explanations, code snippets, and visualisations, it's a comprehensive guide for both beginners and experienced data scientists.
a jupyter lab showcasing time complexity behaviors of the mergesort, quicksort and insertionsort algoritms
Jupyter Notebook as course project for AGDPM 2023 at Technical University of Sofia
Examining the network of connections among local health departments in the United States.
Workspace for testing & researching quantum circuits and algorithms
Analyzing data from the hit mobile game, Candy Crush Saga.
data entry tool to make my life easier
Recreating John Snow's famous map of the 1854 cholera outbreak in London.
MachineLearningInAction NoteBook
Interactive Jupyter notebook exploring the features of GEOROC 2.0. Demonstrates data access via API, data formatting, cleaning, resampling, and visualization for geochemical analysis.
Exercise of using the Streaming API with Hadoop to determine the word count of Wikipedia articles.
Repositório de projetos em Jupyter Noteook para estudo de gráficos e visualização de dados utilizando bibliotecas Seaborn, matplot etc...
Python notebooks for data processing, cleaning and scraping
A mini project on Brain Stroke Prediction using Logistic Regression with 89% Accuracy
Hadoop beginner exercise in analyzing European football teams' statistics over the last 20 years. The goal is to determine which team had the highest win percentage-rate.
customer segmentation in Python
This was done during our course work in National Institute of Technology, Surathkal. Data analysis on Scopus Authors Dataset
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 7 days ago