Topic: ml-models Goto Github
Some thing interesting about ml-models
Some thing interesting about ml-models
ml-models,Machine Learning Concepts And Models using Octave and Jupyter Notebook
User: abhayanigam
ml-models,Object and Image detection model developed to identify cracks and image dimensions, for the HackFest 2023 by Mistral Solutions
User: abhirupr123
ml-models,Predict diseases with the help of AI to save cost, time, and to prevent misdiagnosis.
User: akhileshthite
Home Page: http://ec2-43-204-28-236.ap-south-1.compute.amazonaws.com:8080
ml-models,XAI LIME-based image classifier or SHAP unified framework is utilised to interpret the output of different types of models, such as neural networks, decision trees, and linear models, is to FGSM adversarial assaults and evaluate the effect on the predictability of the model.
User: ananya-singh-baghel
Home Page: https://colab.research.google.com/drive/1GgfifhwKu5CSVKUr0KAWsW-SWkUkLkIN?usp=sharing
ml-models,Open Machine Learning course at MIPT
User: ashot-gimishyan
ml-models,Text classification model (Natural Language Processing)
User: codetit4n
ml-models,A companion repo the blog article titled: Using feature flags with machine learning models
Organization: configcat-labs
ml-models,Pattern Recognition and Machine Learning based Lab assignments that includes various ML models implementation from scratch, under Prof. Richa Singh in course CSL2050.
User: dev-goel
ml-models, This project aims to develop a predictive model estimating insurance coverage costs for customers based on their attributes and product choices. The dataset includes transaction and quote details for policy purchasers. The objective is to predict quoted coverage costs, considering customer traits and 7 customizable product options.
User: dharmikbanka23
ml-models,Beautiful Web interface made using Streamlit for quick Exploratory Data Analysis and building classification models which are implemented from scratch.
User: elysian01
Home Page: https://eda-data-explorer.herokuapp.com/
ml-models,π€ Push your spaCy pipelines to the Hugging Face Hub
Organization: explosion
ml-models,This is a simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file
User: faizanzaheergit
ml-models,A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.
User: gershonc
ml-models,A compilation of my early beginner data science projects (now outdated)
User: harishasan001
ml-models,Part of the Hydrosphere.io project.
Organization: hydrospheredata
Home Page: http://docs.hydrosphere.io
ml-models,Prediction of Cumulative Grade Point Average (CGPA) - Machine Learning Complex Engineering Project of 6th Semester
User: ibrahimrehman1
ml-models,Using a machine learning model, California housing price prediction is made based on various factors such as location, square footage, number of bedrooms, and more. The model analyzes historical data to provide accurate estimations, aiding potential buyers and sellers in making informed decisions.
User: imsatyamshandilya
ml-models,An End-to-End production ready application for predicting the quality of wineπ. Build ML model and deployed using flask π€. Used various MLOps tools to smooth the workflow.
User: izam-mohammed
ml-models,Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
User: lironmiz
Home Page: https://www.coursera.org/specializations/machine-learning-introduction#howItWorks
ml-models,PyPi package to perform quality analyses on ML models.
User: mariagrandury
ml-models,Awesome papers on Machine Learning and Statistical Models
Organization: mlpapers
Home Page: https://mlpapers.org/models/
ml-models,Generate synthetic drilling data that can be used for testing machine learning (ML) models.
User: mongoexpuser
ml-models,SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model.
User: mpolinowski
ml-models,Titanic Survival Prediction Project (93% Accuracy)π³οΈ In this notebook, The goal is to correctly predict if someone survived the Titanic shipwreck using different Machine Learning Model & Hyperparameter tunning.
User: mrankitgupta
ml-models,A Regression based ML model for prediction of car prices in market
User: nano-bot01
ml-models,Customer Segmentation using Clustering (Machine Learning)
User: nano-bot01
ml-models,Handwriting Detection using Deep Learing with Neural Network, tensorflow, keras and jupyter notebook
User: nano-bot01
ml-models,Titanic Survival Prediction using Logistic Regression
User: nano-bot01
ml-models,Using Scikit-learn and Imbalanced-learn to build and evaluate ML models that predict credit risk
User: npantfoerder
ml-models,π Mushroom Classifier Project πΏ Dive into the fascinating world of mushrooms with my latest project! π Using Support Vector Machines (SVM) in machine learning, I've crafted a powerful model that predicts whether a mushroom is edible or poisonous based on its unique features.
User: omarnahdi
ml-models,A collection of Python Implementations in Data Science
User: pranavputsa1006
ml-models,Prinz provides ML integrations for Nussknacker.
Organization: prinz-nussknacker
Home Page: https://prinz-nussknacker.github.io/prinz/
ml-models,Instagram Fake account detection ML model using SciKit Learn
User: rushimayur
ml-models,This dataset is used to detect the credit card fraud detection. This is a classification problem. This is an imbalanced dataset based on target variable. So In this Project, I will use encoding and decoding techniques to balanced dataset.
User: shalinee13
ml-models,Comparison between models to determine whether the cancer is benign or malignant.
User: shraddhapattnaik
ml-models,In this Kaggle project, I worked on the Covid-19 dataset to predict Covid-19 cases in India and all over the world. Used Matplotlib, Seaborn, and Plotly for Data Visualization. Used Prophet, Arima, Lasso, Linear Regression, Ridge Reg, Stacking & Blending for Prediction.
User: shusingh
ml-models,In this ML Regression project, I participated in the House Prices competition on Kaggle and scored a top 3% on the leaderboard.
User: shusingh
ml-models,In this Machine Learning Classification project we are going to predict who is going to survive the titanic crash and who isn't !!
User: shusingh
ml-models,Machine Learning Project
User: smquadri
ml-models,Machine Learning Project
User: smquadri
ml-models,Machine Learning Project
User: smquadri
ml-models,List of all AI models worldwide and examples
User: superai999
ml-models,ππ Types of Ml algos
User: ved-et9
ml-models,ACME Insurance Inc. offers affordable health insurance to thousands of customer all over the United States. As the lead data scientist at ACME, you're tasked with creating an automated system to estimate the annual medical expenditure for new customers, using information such as their age, sex, BMI, children, smoking habits and region of residence.
User: vigdisha
ml-models,Using Various ML/DL models to detect the fake news.
User: wahidpanda
ml-models,A Project / Assignment made as a part of the Machine Intelligence course (UE20CS302) at PES University. The objective of the project was to demonstrate the applications of Machine Intelligence
User: yoyozaemon
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.