juypter-notebook
There are 2 repositories under juypter-notebook topic.
ayushi7rawat / Youtube-Projects
This repository contains all the code I use in my YouTube tutorials.
Language:Python 431sankeshyadav98 / Google-Advanced-Data-Analytics-Professional-Certificate
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepare for jobs like Senior Data Analyst and Junior Data Scientist.
Language:Jupyter Notebook 97BMW-InnovationLab / SORDI-Data-Pipeline-Reader
SORDI dataset has per frame annotation file in json format. Following tools create a COCO style annotation out of it. Thus the SORDI data can be easily fed into COCO style training pipelines.
Language:Jupyter Notebook 69- gmt-pygmt-plotting
yvonnefroehlich / gmt-pygmt-plotting
Python Scripts or Jupyter Notebooks Using PyGMT to Prepare Geophysical Figures and Geographic Maps
Language:Jupyter Notebook 46 - spectrafit
Anselmoo / spectrafit
📊📈🔬 SpectraFit is a command-line and Jupyter-notebook tool for quick data-fitting based on the regular expression of distribution functions.
Language:Python 30 mpkocher / Functional-Programming-Techniques-In-Python
Exploring functional centric designs and patterns in Python
Language:Jupyter Notebook 29archivesunleashed / notebooks
Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.
Language:Jupyter Notebook 26kudzaiprichard / passport-verification-api
Passport document verifications using machine learning python sklearn
Language:Jupyter Notebook 23I created these mini games in python as my logic building exercise
Language:Python 22balavenkatesh3322 / Deep-learning-Notebook
A collection of deep learning notebooks for learning and practicing.
Implementing data structure and algorithm in python
Language:Jupyter Notebook 16MrB141107 / Python_Projects
A Collaborative Hub for Python Enthusiasts, one-stop destination for python programs, games, projects, and more...
Language:Jupyter Notebook 14subblue / applying-maths-book
Applying Maths in the Chemical and Biomolecular Sciences by Godfrey Beddard
Language:Jupyter Notebook 13Carltoffel / jupyter-fortran-kernel
Minimal Jupyter Fortran kernel
Language:Python 11Harsh188 / 100_Days_of_ML
100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics to more advanced state of the art models.
Language:Jupyter Notebook 9jalalmansoori19 / Classfiying-Iris-flower-species
This project is about getting familiar with machine learning classification problem !
Language:Jupyter Notebook 8beery4010 / Wrangle-and-Analyze-Data
Udacity Data Analyst Nanodegree - Project IV
Language:HTML 7Web scraping to gain company insights and predicting customer buying behavior
Language:Jupyter Notebook 7sioaeko / NLLB_translator
Gradio AI Transformer Translator used meta/nllb-200-distilled-600M
Language:Python 7ZhenhHuang / sunrise-machine-learning
Machine learning for undergraduate students.
Language:Jupyter Notebook 7Trying my hand at hackerrank challenges
Language:Jupyter Notebook 6- Language:HTML 6
ceedee666 / opensap_python_intro
This repository was moved tohttps://codeberg.org/ceedee666/python-intro-mooc/
Language:Jupyter Notebook 5Git-Utkarsh / AndroidDevelopment
Create Android apps with Python Kivy in Google Colab using Buildozer for compilation. Leverage Kivy's features for UI design. Compile apps into APKs directly from Colab. This guide provides step-by-step instructions for development and testing.
Language:Jupyter Notebook 5Mindula-Dilthushan / Ax-Torrent-Downloader
This is torrent data downloader
Language:Python 5josephkb87 / Matlab_Octave
This Matlab_Octave Basics Repo covers the Basics of Matlab and Octave.
Language:MATLAB 4Pratham-verma / Web_Application_Firewall
This project presents a powerful Web Application Firewall (WAF) designed to protects web applications from malicious activities. By leveraging machine learning algorithms, the WAF efficiently filters and detects potentially harmful requests before they reach the website, ensuring robust security.
Language:Jupyter Notebook 4alexandralanorias / ml-mbti-fullstack-webapp
My, @Mdltre, and @ErriekaP's webapp for our thesis named ‘Identifying the Myers-Briggs Type Indicator of Twitter Users through Word Embedding and Supervised Machine Learning.’
Language:Jupyter Notebook 3- Language:Jupyter Notebook 3
Faisal-khann / Movie-Recommendation-System
The Movie Recommender System is a Streamlit-based application designed to help users discover movies they might enjoy. By selecting a movie, the system provides personalized recommendations based on similarity, along with the features of recommendation (Displays a list of suggested movies), movie posters, ratings, trailers and user interface.
Language:Jupyter Notebook 3sb011 / Deep-Learning-Doctor-Bot
A Chabot based on deep learning can talk with the users and assess them with their medical problems. It takes symptoms from the users and the bot gives the predictions based on the symptoms and precautions.
Language:Jupyter Notebook 3sumitdgr / Tik_Tok_Project
TikTok is working on the development of a predictive model that can determine whether a video contains a claim or offers an opinion. With a successful prediction model, TikTok can reduce the backlog of user reports and prioritize them more efficiently.
Language:Jupyter Notebook 3Wall-E28 / world_weather_analysis
This project analyzes top vacation cities based on weather data from Open Weather's API and is visualized using Google Map's API.
Language:Jupyter Notebook 3LoveNui / Chatbot-with-text-voice-chatting
Telegram bot is developed by AI techniques(Speech-to-Text, Text-to-Speech, Voice-cloning, AI-avatar-geneartor) and telegram bot developing techniques.
Language:Python 2Mandelbros / Codeforces-Performance-Predictor
Data fetch, statistical analysis and linear regression work, to predict the expected future performance of Codeforces users, using the API.
Language:Jupyter Notebook 2sagar-maru / Lending-Club-Case-Study
This case study seeks to optimize loan approvals by analyzing historical data, focusing on reducing rejection and default risks. Using Exploratory Data Analysis (EDA), the study aims to identify patterns in consumer and loan attributes for better decision-making.
Language:Jupyter Notebook 2
