Data science projects with Keras
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Updated
Jul 16, 2024 - 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.
Data science projects with Keras
Comparing MobileNet and EfficientNet on Glaucoma Detection
RAG - LLM
Start developing and backtesting your own automated trading strategies
House Price Prediction using Machine Learning(Linear Regression)
Java jupyter kernel
Official main repository for LFortran
Jupyter to Typst converter with template support
Pentest focused NixOS config
Daily consolidated and enriched snapshots of endoflife.date
Data analysis notebooks with python
Best Practices on Recommendation Systems
Helm Chart & Documentation for deploying JupyterHub on Kubernetes
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Pytho…
Automated Jupyter notebook deployment in AWS using Terraform
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Introduction-to-TensorFlow-for-Artificial-Intelligence-Machine-Learning-and-Deep-Learning By Deep Learning (AI First Module)
Loops is a JupyterLab extension to support iterative and exploratory data analysis in computational notebooks.
In this repository the contents of the workshops for the data science class will be uploaded. 🧪🚀💻
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release about 1 month ago