GitHub topics: ml-models

Repositories

amarinderthind/EGFR-ap

EGFR-AP : Epidermal Growth Factor Receptor-Activity Predictor

Language: Python - Size: 20.1 MB - Last synced at: about 4 hours ago - Pushed at: about 5 hours ago - Stars: 0 - Forks: 0

IsaCouture/Weather-Type-Classification-WebApp

🌦️ A Flask-based ML web app for classifying weather types (Sunny, Rainy, Cloudy, Snowy) using multiple models. ⛅⚡❄️

Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

A learning project dedicated to data mining using R and Python. This repository contains scripts for web scraping, data retrieval, and data preparation, with the goal of creating datasets for future machine learning model training. The project is designed to help develop skills in data handling, processing, and structuring

Language: R - Size: 14.6 KB - Last synced at: 2 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

verneylmavt/recipe-generator

A Flask-based Recipe Generator that suggests creative recipes based on user-input ingredients or uploaded images, with nutritional insights.

Language: Python - Size: 2.57 MB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

eloy13rayo/st-kjv-vis

A collection of King James Version (KJV) Bible analysis and visualization

Size: 1.95 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

skp3214/Doc-Scanner-And-Matching-System

🔍 A self-contained document scanning and matching system with a built-in credit system. Users can upload documents, scan them for matches, and manage their credits, while admins can view analytics and approve credit requests.

Language: HTML - Size: 45.9 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

RenatoMaynard/Supervised-Machine-Learning-Models-Pytorch-Sklearn

This repository provides a comprehensive implementation of supervised machine learning models using PyTorch and Scikit-learn. It includes end-to-end workflows for both classification and regression tasks, covering data preprocessing, model training, evaluation, and comparison between traditional ML models

Size: 1.95 KB - Last synced at: 11 minutes ago - Pushed at: 19 days ago - Stars: 5 - Forks: 0

ankandrew/open-image-models

Pre-trained image models using ONNX for fast, out-of-the-box inference.

Language: Python - Size: 1.22 MB - Last synced at: 1 day ago - Pushed at: 17 days ago - Stars: 11 - Forks: 4

meetk5/Supervised-Learning-Challenge-2

This project highlights the use of KNN, SVM, Decision Tree and Random Forest Classifiers to predict heart disease in a set of patients. The project also evaluates the models using metrics like Accuracy, Classification Report (Precision, Recall, F1-Score) and Confusion Matrix.

Language: Jupyter Notebook - Size: 43 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

explosion/spacy-huggingface-hub

🤗 Push your spaCy pipelines to the Hugging Face Hub

Language: Python - Size: 82 KB - Last synced at: 3 days ago - Pushed at: 11 months ago - Stars: 43 - Forks: 15

brenden-DS/diabetes-web-app

Language: Jupyter Notebook - Size: 438 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 2 - Forks: 0

JiteshShelke/Weather-Type-Classification-WebApp

🌦️ A Flask-based ML web app for classifying weather types (Sunny, Rainy, Cloudy, Snowy) using multiple models. ⛅⚡❄️

Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

FaizanZaheerGit/StudentPerformancePrediction-ML

This is a simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file

Language: Python - Size: 10.7 KB - Last synced at: 18 days ago - Pushed at: 12 months ago - Stars: 89 - Forks: 32

Sameer051022/Standardization_Models

"Demonstration of machine learning models utilizing standardization techniques for numerical data preprocessing, implemented in Python using sklearn."

Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: 17 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Sameer051022/Sklearn_Classification_and_Regression_Models

"A collection of Jupyter notebooks showcasing the implementation of key machine learning algorithms for classification and regression tasks using Python’s sklearn library. This repository includes detailed examples on SVM, KNN, and Logistic Regression models, complete with data preprocessing, parameter tuning, and comprehensive evaluations."

Language: Jupyter Notebook - Size: 103 KB - Last synced at: 17 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Sameer051022/KNN_Classifier_Model

"Comprehensive guide to the K-Nearest Neighbors (KNN) algorithm for both classification and regression tasks, featuring in-depth analysis, hyperparameter tuning, and evaluation using Python’s sklearn library."

Language: Jupyter Notebook - Size: 56.6 KB - Last synced at: 17 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

neelimabonangi/Ddos-detection-sdn-ml

DDoS detection in SDN using ML Techniques

Language: TypeScript - Size: 7.76 MB - Last synced at: 12 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

festusmaithyakcau/DATA-ENGINEERING

Data Engineering Projects

Language: Jupyter Notebook - Size: 15 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

mpolinowski/sklearn-model-explainability

SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model.

Language: Jupyter Notebook - Size: 1.37 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

crate/mlflow-cratedb

MLflow adapter for CrateDB.

Language: Python - Size: 236 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

SaiNikhil0904/Churn-Prediction-for-Mobile-Customers

A machine learning project for predicting mobile customer churn using classification models to help businesses enhance customer retention strategies.

Language: Jupyter Notebook - Size: 2.54 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 3

virajbhutada/ML-projects

A collection of machine learning mini-projects and analyses developed using Jupyter Notebook. Each project demonstrates practical applications of machine learning algorithms on a variety of datasets, covering techniques from exploratory data analysis (EDA) to model training and evaluation.

Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

dmsLakmal/InflationPredictorModel

This project aims to forecast inflation rates using machine learning techniques. Leveraging historical economic data on GDP and unemployment rates, the model provides predictions for future inflation trends.

Language: Python - Size: 22.5 KB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

virajbhutada/spotify-track-analysis-and-recommendation

Experience a comprehensive exploration of Spotify's musical landscape seamlessly transitioned from Tableau visualizations to SQL analysis. Dive into track inventory, streaming metrics, and sonic trends via interactive dashboards, while leveraging SQL queries for deeper insights into KPIs and cross-platform rankings.

Language: Jupyter Notebook - Size: 43 MB - Last synced at: 16 days ago - Pushed at: 6 months ago - Stars: 6 - Forks: 1

shraddhapattnaik/Breast-Cancer-Classification

Comparison between models to determine whether the cancer is benign or malignant.

Language: Jupyter Notebook - Size: 134 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

verneylmavt/st-pos-tagging

A collection of Part of Speech Tagging (POST) models developed using PyTorch

Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

verneylmavt/st-sn-dgt-recognition

A collection of Digit Recognition models developed using PyTorch

Language: Python - Size: 5.53 MB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

verneylmavt/st-kjv-vis

A collection of King James Version (KJV) Bible analysis and visualization

Language: Jupyter Notebook - Size: 48.5 MB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

verneylmavt/st-nba-vis

A collection of NBA analysis and visualization

Language: Jupyter Notebook - Size: 19 MB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

verneylmavt/st-mov-recsys

A collection of Movie Recommender System models developed using PyTorch

Language: Jupyter Notebook - Size: 38.6 MB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

verneylmavt/st-ner

A collection of Named-Entity Recognition (NER) models developed using PyTorch

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

verneylmavt/st-nli

A collection of Natural Language Inference (NLI) models developed using PyTorch

Language: Jupyter Notebook - Size: 9.42 MB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

verneylmavt/ml-model

A collection of deployable ML Models

Language: Python - Size: 106 MB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

verneylmavt/q-learning-maze

A Maze Solver w/ Q-Learning developed using Python

Language: Jupyter Notebook - Size: 6.13 MB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

joshthesteez/Advertising-Analysis

Portfolio project aiming to showcase skills in: data analysis, model training/deployment, and creating business applications

Language: Python - Size: 2.48 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

rishisolanke/Twitter-Sentiment-Analysis-using-Machine-Learning-

A research project that classifies tweets as positive, negative, or neutral using ML algorithms (Logistic Regression, Naïve Bayes, SVM) with NLP preprocessing.

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: 23 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

verneylmavt/st-snt-analysis

A collection of Sentiment Analysis models developed using PyTorch

Language: Jupyter Notebook - Size: 34.5 MB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

verneylmavt/titanic-ml-from-disaster

The implementation of Kaggle Competition "Titanic - Machine Learning from Disaster"

Language: Jupyter Notebook - Size: 169 KB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

izam-mohammed/Wine-Quality-Prediction

An End-to-End production ready application for predicting the quality of wine🍇. Build ML model and deployed using flask 🤖. Used various MLOps tools to smooth the workflow.

Language: CSS - Size: 132 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

verneylmavt/hmm-text_analysis-py

(50.007) Machine Learning - 1D Project

Language: Jupyter Notebook - Size: 7.46 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

verneylmavt/regression-food_security-py

(10.020) Data Driven World & (10.022) Modelling Uncertainty - 2D Project

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

mayankyadav23/Red-Wine-Quality-Prediction

Predict the quality of red wine using 💡 Machine Learning models. Features 📊 data preprocessing, 🔍 EDA, and 🧠 models like Random Forest and Linear Regression for precise predictions based on chemical properties. Cheers to data science! 🥂

Language: Jupyter Notebook - Size: 418 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

virajbhutada/article-recommendation-system

This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.

Language: Jupyter Notebook - Size: 24.8 MB - Last synced at: 25 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

wahidpanda/Fake-News-Detection-ML-Project

Using Various ML/DL models to detect the fake news.

Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Annu117/Traffic-Sign-Detection

Language: Jupyter Notebook - Size: 16.5 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

gershonc/octopus-ml

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.

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 22 - Forks: 5

vancenceho/50.007-Machine-Learning

50.005 Machine Learning - Assignments & Project

Language: Jupyter Notebook - Size: 5.87 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Flyer-DM/aeroflot_ML

Language: Jupyter Notebook - Size: 16.1 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

abdullahashfaqvirk/Amazon-Laptop-Price-Prediction

Developed an Amazon laptop price prediction tool using machine learning algorithms, integrated with a Streamlit app for an interactive user experience.

Language: Jupyter Notebook - Size: 4.27 MB - Last synced at: 22 days ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

darsh0820/Machine-Learning-Models

This repository provides implementations of various fundamental machine learning models, demonstrating their core concepts and applications. Each model is built from scratch or using common libraries, offering a clear understanding of algorithms such as Linear Regression and Logistic Regression.

Language: Python - Size: 378 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

nirmit27/credit-risk-modeling

Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.

Language: Python - Size: 31 MB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

akhileshthite/healthyme-ai

Predict diseases with the help of AI to save cost, time, and to prevent misdiagnosis.

Language: HTML - Size: 3.03 MB - Last synced at: 15 days ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 8

nano-bot01/Handwriting-Detection-using-Deep-Learing-with-Neural-Network

Handwriting Detection using Deep Learing with Neural Network, tensorflow, keras and jupyter notebook

Language: Jupyter Notebook - Size: 104 KB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1

nano-bot01/Customer-Segmentation-using-Clustering-

Customer Segmentation using Clustering (Machine Learning)

Language: Jupyter Notebook - Size: 535 KB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1

nano-bot01/Car-Price-Prediction-System-Web-App

A Regression based ML model for prediction of car prices in market

Language: Jupyter Notebook - Size: 184 KB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 3

MongoExpUser/Synthetic-Drilling-Data-App-for-Sqlite-ML

Generate synthetic drilling data that can be used for testing machine learning (ML) models.

Language: JavaScript - Size: 215 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

AzizjonTuraev/loan_classification

Language: Jupyter Notebook - Size: 827 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

VaishnaviThakre/Outlier-Detection

This repository contains ML model for outlier detection

Language: Jupyter Notebook - Size: 104 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Varun-Kolanu/sight_companion

App to guide visually impaired people through mobile and ML models

Language: C++ - Size: 100 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

dmsLakmal/Inflation-Predictor-ML-Flask-App

This repository contains an Inflation Predictor ML Project using Flask. The project aims to predict the inflation rate based on economic indicators such as GDP and the unemployment rate.

Language: HTML - Size: 18.6 KB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

simonskodt/big-data-processes

All weekly exercises in the Spring course Big Data Processes

Language: Jupyter Notebook - Size: 77.5 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

SCIFER99/Convolutional-Neural-Network-Example

This is an example Convolutional Neural Network ML model as a solution for various Classification use cases!

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

harishasan001/data-sci-portfolio

A compilation of my early beginner data science projects (now outdated)

Language: Jupyter Notebook - Size: 4.06 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

shivu2002a/Machine-Learning-Basics

This repo contains python notebooks, and datasets and models on ML and DL

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

codeTIT4N/NLP-text-classification

Text classification model (Natural Language Processing)

Language: Jupyter Notebook - Size: 8.47 MB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

nirdesh17/House-Price-Prediction

This project demonstrates the application of machine learning techniques to predict house prices based on various features. By analyzing the dataset, preprocessing the data, and selecting an appropriate model, we were able to achieve a high level of accuracy in predicting house prices. The trained model can be further refined and deployed.

Language: Jupyter Notebook - Size: 713 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 3 - Forks: 0

abhirupr123/crack_detective

Object and Image detection model developed to identify cracks and image dimensions, for the HackFest 2023 by Mistral Solutions

Language: JavaScript - Size: 9.48 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

otrevizo/Python

Vignettes, use cases, toolbox, and datasets to help me when I code in Python.

Language: Jupyter Notebook - Size: 23.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

brenden-DS/heart-classification

Language: Jupyter Notebook - Size: 289 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

brenden-DS/Credit-card-fraud-detection

Language: Jupyter Notebook - Size: 277 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

NusaLingo/nusalingo-ml-models

The "nusalingo-ml-models" repository features TensorFlow Keras models for speech recognition, enhancing NusaLingo's language learning. Simple, accurate, and tailored for local languages.

Language: Python - Size: 78.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

omarnahdi/Edible-Mushrooms-ML-project

🍄 Mushroom Classifier Project 🌿 Dive into the fascinating world of mushrooms with my latest project! 🚀 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.

Language: Jupyter Notebook - Size: 96.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

superai999/ai-model

List of all AI models worldwide and examples

Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

configcat-labs/feature-flags-with-ml-models-sample

A companion repo the blog article titled: Using feature flags with machine learning models

Language: Python - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

shusingh/Titanic-The-Ride

In this Machine Learning Classification project we are going to predict who is going to survive the titanic crash and who isn't !!

Language: Jupyter Notebook - Size: 1.53 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

shusingh/Stacking-Blending-XGBoost-and-other-ML-models-

In this ML Regression project, I participated in the House Prices competition on Kaggle and scored a top 3% on the leaderboard.

Language: Jupyter Notebook - Size: 3.65 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

shusingh/Covid19-Future-Forecasting

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.

Language: Jupyter Notebook - Size: 3.61 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

prinz-nussknacker/prinz

Prinz provides ML integrations for Nussknacker.

Language: Scala - Size: 3.86 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 4

mrankitgupta/titanic-survival-prediction-93-xgboost

Titanic Survival Prediction Project (93% Accuracy)🛳️ In this notebook, The goal is to correctly predict if someone survived the Titanic shipwreck using different Machine Learning Model & Hyperparameter tunning.

Language: Jupyter Notebook - Size: 482 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

ashot-gimishyan/ML-MIPT

Open Machine Learning course at MIPT

Language: Jupyter Notebook - Size: 769 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

abhayanigam/Machine_learning

Machine Learning Concepts And Models using Octave and Jupyter Notebook

Language: Jupyter Notebook - Size: 31.8 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

dharmikbanka23/Insurance-Product-Purchase-Prediction

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.

Language: Jupyter Notebook - Size: 2.67 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

imsatyamshandilya/ML-housing_price_prediction

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.

Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Shalinee13/Credit-Card-Fraud-Detection-using-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.

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

festusmaithyakcau/ML-For-Beginners_MICROSOFT Fork of microsoft/ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Language: Jupyter Notebook - Size: 169 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

otrevizo/R

Vignettes, use cases, toolbox, and datasets to help me when I code in R.

Language: HTML - Size: 138 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

lironmiz/machine-learning-specialization-course

Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng

Size: 183 KB - Last synced at: 2 days ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

ananya-singh-baghel/FGSM-over-XAI-based-Image-Classifier

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.

Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0