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.
Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-22. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil. Data cover years 2014-23.
nannyml: post-deployment data science in python
This Repo consists of python notebook, using data from Kaggle to do EDA, visualization on reviews using WordCloud, keywords extraction, and sentiment analysis.
Official main repository for LFortran
This repository contains solutions to the projects I had to do during my Deep Learning NanoDegree offered by Udacity
This repository contains my Python scripts for practicing machine learning models.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Daily consolidated and enriched snapshots of endoflife.date
Start developing and backtesting your own automated trading strategies
🧠 💡 📈 A project based in (Classical) Post-Quantum Cryptography, namely in Lattice-Based Cryptography. This project was built using Jupyter Notebook, SoS (Script of Script) Notebook, Java, Python, Bouncy Castle library, and TeX. The goal of the project was the study and analysis of the CRYSTALS public-key (asymmetric) cryptographic suite.
Graph data science project
Movie Recommender System: Content-Based Filtering on IMDB Dataset (Natural Language Processing Project(NLP)
GitHub Pages and VScode to create a custom html website and host my data analytics projects portfolio - 2024
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
Jupyter Interactive Notebook
Churn Analysis of Telecom company,Through meticulous data analysis and predictive modeling, we uncover patterns, trends, and potential churn triggers, empowering telecom companies to proactively mitigate customer attrition. Our mission is to equip industry stakeholders with actionable intelligence, enabling them to optimize retention strategies.
Speech-to-text and text-to-speech API call examples, using OpenAI's whisper-1 and tts-1 models.
Jupyter notebook code for movie recommendations. Created with using OpenAI's text-embedding-3-small model.
My Jupyter notebooks in which I practice data science.
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 22 days ago