eaedk

eaedk's Stars

• fchollet/deep-learning-with-python-notebooks

  Jupyter notebooks for the code samples of the book "Deep Learning with Python"

  Language:Jupyter Notebook19.1k6531908.8k

• Transpile-AI/ivy

  The Unified AI Framework

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• SkalskiP/courses

  This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

  Language:Python6k987554

• dataflowr/notebooks

  code for deep learning courses

  Language:Jupyter Notebook1.1k271314

• Rustam-Z/data-structures-and-algorithms

  📝 Lecture Notes on Data Structures and Computer Algorithms | Inha University | Instructor: Dr. Ashish Seth

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• nikitaprasad21/ML-Cheat-Codes

  Machine Learning Cheatsheet 2024

  Language:Jupyter Notebook1361083

• aliduabubakari/Sepsis-Classification-with-FastAPI

  This project is focused on the accurate and efficient classification of sepsis cases using the FastAPI framework. Sepsis is a critical medical condition that requires prompt identification and treatment. This project aims to provide a streamlined solution for healthcare professionals to classify sepsis cases quickly and effectively.

  Language:Jupyter Notebook11124

• toelt-llc/COURSE-deep-learning-meet-astrophysics

  This repository contains the material for the workshop held at ETH (Zürich) on the 22nd January 2020.

  7201

• Bright136/Embedding-a-Machine-Learning-Model-into-a-Web-Application

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• eaedk/Machine-Learning-Tutorials

  This repository hosts some notebooks to guide people to start a Machine Learning project

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• Gilbert-B/Natural-Language-Processing-Sentiment-Analysis-

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• eaedk/dataset-GLEN

  210

• iameberedavid/Expresso-Customer-Churn-Challenge-On-Zindi

  Welcome to our customer churn challenge.

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• ikoghoemmanuell/Deploying-a-ML-Model-with-Streamlit

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• ikoghoemmanuell/Sepsis-Prediction-with-ML-and-FastAPI

  Language:Jupyter Notebook2120

• Ruban2205/Python-Programs

  This repository contains a collection of Python Programs covering various concepts and topics, serving as a valuable resource for students and developers to enhance their understanding and proficiency in Python

  Language:Jupyter Notebook2101

• ADR2020N/Machine-Learning-API-using-FastAPI-main

  Machine-Learning-API-using-FastAPI-main

  Language:Jupyter Notebook110

• Belie06Loryn/Classification-Predicting-Customer-Churn-main

  Language:Jupyter Notebook112

• Belie06Loryn/Regression-Project-Store-Sales----Time-Series-Forecasting--main

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• Bright136/Customer-Churn-Prediction-App-with-Gradio

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• Bright136/DAP-Trainee-Story_Bright136

  1100

• Bright136/Sales-Forecasting-App-with-Streamlit-new

  Language:Python1100

• CalyGit/Income-Prediction-Challenge-For-Azubian

  10

• flokabukie/Sentiment-Analysis

  This is a Covid 19 sentiment analysis on the diverse nature of tweets to analyze the varied emotions of a large public towards covid 19. These sentiments are categorized into positive, negative and neutral tweets.

  Language:Jupyter Notebook110

• flokabukie/Sepsis-Status-Prediction-with-Fast-API

  Developing a machine learning API with fastAPI

  Language:Jupyter Notebook114

• ikoghoemmanuell/Yassir-ETA-Prediction

  Language:Jupyter Notebook1101

• iremirezdeganuza72/Cohort_Analysis

  It´s a project where it's analysed the different clients in cohorts. Cohort Analysis or Customer Group Analysis is a type of behavioral segmentation that groups users by one or more characteristics and tracks their behavior over time.

  Language:Jupyter Notebook110

• muchaimaryanne/Telco-Customer-Churn

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• Richard-Mensah/Sepsis_Classification_Machine_Learning_API_using_FastAPI

  Language:Jupyter Notebook111

• Stella-Achar-Oiro/Stella-Oiro

  Achar Data Analyst

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