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#

matploblib

Here are 37 public repositories matching this topic...

Bank customers churn dashboard with predictions from several machine learning models.

  • UpdatedJul 18, 2023
  • Jupyter Notebook

Data cleaning, analysis and visualization of Paris metro traffic (Python, Pandas, Matplotlib, iPyLeaflet, Kepler.gl).

  • UpdatedMay 29, 2019
  • Jupyter Notebook

Generating Soil Moisture (SM) or Evapotranspiration (ET) maps from satellite images

  • UpdatedAug 23, 2019
  • Python

Implementing neural network for MNIST data using python.

  • UpdatedAug 12, 2018
  • Jupyter Notebook

An image search implementation in python using tensorflow keras, scikit-learn, scipy and matplotlib.

  • UpdatedAug 30, 2020
  • Python

Analysis of Smart meter readings in London

  • UpdatedJul 29, 2018
  • Jupyter Notebook

Simulates the flow of heavy rainfall on a given elevation map using numerical methods

  • UpdatedAug 18, 2019
  • Python

A repository covering all my work on various topics and algorithms while learning Data Science, Machine Learning and Deep Learning.

  • UpdatedSep 26, 2019
  • Jupyter Notebook

Codes for decent plots, evaluating clustering quality, using pathlib…

  • UpdatedMar 29, 2024
  • Jupyter Notebook

50个matplotlib可视化操作

  • UpdatedJun 8, 2019
  • HTML

Integration, Differentiation, Graphical representation of a function or may be simple simplification

  • UpdatedMay 21, 2021
  • Python

📚🧠 Explores core machine learning concepts through interactive, hands-on Jupyter notebooks. From building a neural network from scratch to applying dimensionality reduction and classification with real-world libraries, this project bridges the gap between theory and practical application.

  • UpdatedMay 23, 2025
  • Jupyter Notebook

What kind of flower is that?

  • UpdatedJun 17, 2019
  • Jupyter Notebook

Library of customized plots

  • UpdatedNov 5, 2019
  • Python

Python, Machine Learning, Data Science, Deep Learning, Artificial Intelligence

  • UpdatedDec 17, 2018
  • Jupyter Notebook

This project analyzes Amazon sales data to explore customer behavior, best-selling product categories, and seller performance by month and marketplace. Using Python tools like Pandas, Matplotlib, and Seaborn, we turn raw data into clear insights to support data-driven decisions.

  • UpdatedMay 11, 2025
  • Jupyter Notebook

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