Interactive Jupyter notebooks showcasing data visualization with Matplotlib and Seaborn for learners and data practitioners.
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Updated
Jul 12, 2025 - Jupyter Notebook
Interactive Jupyter notebooks showcasing data visualization with Matplotlib and Seaborn for learners and data practitioners.
The repository contains various python jupyter notebooks of predicting different medical diseases from various open source datasets.The following medical diseases predicted are cancer,,diabeties,kidney diseases,heart disease,liver diseases,spine disease using variou machine learning classification algorithms like KNN,Logistic Regression,Support …
Collection of tools and notebooks dealing with data.
If you liked my analysis, pls upvote my notebook!
Contains analysis of Lyft ride attributes and how it affects demand surge in the city of Boston.
Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.
Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.
Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.
This notebook will show you how to perform exploratory data analysis on the Big Mart Sales dataset
This repository is a series of notebooks that show analysis and modeling of the Breast Cancer data from Kaggle.
In this Notebook, I analyze the following five semiconductor stocks: HD, INTC, AMD, MU, NVDA, and TSM. Then, I choose the stock with the least correlation to JNJ in order to diversify a portfolio. The data was generated using the GOOGLEFINANCE historical market data script.
Python tool for forex correlation analysis. Fetches live data, calculates pair relationships, generates interactive heatmaps. Perfect for traders managing risk, diversifying portfolios, building strategies. Simple Jupyter notebook workflow.
This is a collection of 6 density position heatmaps plots from 2 experiments using mice. It includes the final graphs, the Jupyter Notebooks and the functions that were created to obtain the graphs.
Logistic Regression Project
Data visualisation and employment analysis project developed with Python, Pandas, Matplotlib, Seaborn, and Jupyter Notebook, featuring multi-year data integration, data cleaning, role comparison, and business-focused visualisations for the Data Visualisation and Communication CA1 module at CCT College.
Data analysis, EDA, & data visualization of the airfares in New Zealand. Kaggle bronze medal with 7 upvotes⬆️ and 10 forks ♆ in Kaggle
In this project I created a notebook that contains data preparation, analysis, and visualizations for all the time series data that a mock company would need to understand including: Visual depictions of seasonality (as measured by Google Search traffic) that are of interest to the company. An evaluation of how the company stock price correlates…
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