Anaconda3, Jupyter Notebook, OpenCV3, TensorFlow and Keras2 for Deep Learning🐳
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Updated
Dec 24, 2018 - Dockerfile
Anaconda3, Jupyter Notebook, OpenCV3, TensorFlow and Keras2 for Deep Learning🐳
Python (.py) and Jupyter notebook (.ipynb) implementations of Grover's Algorithm aka Quantum Search Algorithm for n qubits and m targets.
✨ This repository is your go-to resource for seamlessly transforming Jupyter Notebook (ipynb) 📚 files into portable document format (PDF). 📚 🔀 It provides a simple and convenient way to convert Jupyter Notebook (ipynb) files to PDF format 🤓
A basic machine learning model built in python jupyter notebook to classify whether a set of tweets into two categories: racist/sexist non-racist/sexist.
scientific computing studies 📓
Мои любименькие ноутбуки)
Jupyter Notebooks con repasos y explicaciones de matemáticas.
dockerfile for jupiter notebook based on Anaconda
Anaconda with Jupyter Notebook
This is the simple method to apply dark theme in jupyter notebook
From Data Preprocessing to Advanced Machine Learning Models for practice with clean Implementation in real-time using Python, Jupyter Notebook.
📋 Anaconda virtual environment with Jupyter notebook and Landsat imagery and geemap
An educational repo for getting a quickstart with Anaconda, Jupyter Notebook and pandas.
This repository aims to show how to use OpenCV3 in Jupyter Notebook
These are exported Jupyter Notebooks, preview html inside with https://htmlpreview.github.io/
Learning about Anaconda, Jupyter Notebooks, and general data science w/ pandas & numpy by analyzing the Titanic data set
Demonstrates my ability to use Python in Jupyter Notebook to pull and analyze data from an open-source API.
Conduct a school district analysis using Python with Anaconda & Jupyter Notebooks. Clean data, merge dataframes, and analyze data to study school performance based on districts and grades.
Put the concepts learned in Linear Algebra into code (jupyter notebook) It includes codes for transformations, Eigen vector spaces, and other systems of equations. Additionally, we use a unique Gaussian Elimination technique.
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