Example of ML methods and strategies in practice.
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Updated
Oct 18, 2023 - Jupyter Notebook
Example of ML methods and strategies in practice.
Welcome! This is a repository for adding your python projects, data analysis/data science projects or jupyter/kaggle notebooks.
Scripts and notebooks for testing installations and packages
This Repo provides a comprehensive tutorial of python from beginner level to Advanced level. The Repo is interactive with exercises. Please note that this is still under active development, so more features are added regularly.
A very humble series of notebooks for beginners in Python
This repository is a beginner-friendly introduction to Computational Fluid Dynamics (CFD) for those interested in developing their own CFD solver. It includes Jupyter notebooks with detailed instructions.
I have made this Project using MERN Stack it is todo list website and has basic CRUD operation
Notebooks used in MySevBootcamp.
This is GEM repo, as it has all the Hands-On ML notebooks
Slides and jupyter notebook tutorial on Machine Learning and Data Science introduction.
A beginner's models for the classification of Iris ,A study based jupyter notebook
Notebooks del primer curso en el cual fui instructor del lenguaje de programación Python, haciendo uso de notebooks con el objetivo que fuera lo más amigable para el alumnos en una curso de 10 - 20 horas.
All the Data Analysis exploration projects will be present here either as jupyter 📓 or 🐍 code.
Learning Python3 from core concepts to AI applications, one notebook at a time - with a goal-oriented learning mindset
Ce repo regroupe l'ensemble des notebooks utilisés dans le cadre des séances de tutorat de l'UE LU1IN001: Eléments de programmation.
Vaccine Supply and Logistics analysis using SQL in Jupyter Notebook to determine the efficiency of the supply system despite COVID-19 setbacks.
🏫📝 This repository contains my notes and notebooks from the short course by Deeplearning.AI x Flower Labs on Intro to Federated Learning.
TensorFlow Guide Repository which can be used by beginners to learn basics of TensorFlow. Also has regression notebook open for contributors to perform some basic preprocessing.
A comprehensive guide and interactive notebook for beginners to explore Artificial Intelligence and Machine Learning, led by Pranam Srivastava, AI ML Lead at GDG IIIT Kota.
Learning Generative AI from scratch with step-by-step Google Colab notebooks. Build scalable architectures for enterprise-level solutions, starting with the basics of RAG systems.
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