GitHub topics: model-training-and-evaluation
m-hussain-x199/data-science
Projects related Data Visualisation, Cleaning, Preprocessing, Machine Learning, Deep Learning, ANN and CNN Projects and Model Training and Model Evaluation
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reazslayer05/Loan-Approval-Strategy-Optimization
The goal is to predict whether a loan application will be approved or denied based on various applicant features and financial data
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Elakkiya-U/Loan-Approval-Strategy-Optimization
The goal is to predict whether a loan application will be approved or denied based on various applicant features and financial data
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yupeeee/WAH
a library so simple you will learn Within An Hour
Language: Python - Size: 2.93 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 2 - Forks: 0
rezafawazul/ad_click_prediction
🎯 Can we predict who clicks the ads? This beginner ML project explores just that — using Python & scikit-learn!
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reputed-artist/Liver-Disease-Prediction-using-Ensemble-Machine-Learning-Method
Master degree project for liver disease prediction. i have improved the code reaching its accuracy to 98-99% from 70%.
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gedankrayze/splade-model-trainer
A comprehensive toolkit for training, evaluating, and deploying SPLADE models
Language: Python - Size: 130 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
dyavadi8769/University_Admission_Prediction
University Admission Predictor is a sophisticated Flask-based web application designed to predict the likelihood of admission to graduate programs based on student profiles. It leverages a range of regression techniques to evaluate admission chances.This project showcases the practical application of machine learning in educational forecasting.
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Mudita1307/Real-Estate-Price-Prediction
Real Estate Price Prediction via Model Training-Testing
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bethropolis/myia
An Image classifier model and builder for binary image classification.
Language: Python - Size: 69.2 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 2
ksm26/Finetuning-Large-Language-Models
Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data preparation techniques, and how to effectively train and evaluate LLMs.
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ar-bansal/squid-ml
A no-boilerplate, ease-to-use AI/ML experiment tracker.
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alyssahusna44/poai-image-classification
An implementation of an AI model that classifies animal subspecies. The project involved data preparation, model training using ResNet50, DenseNet121, and MobileNetV3, and evaluation using metrics: accuracy and mAP. 🗂️
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sergio11/headline_generation_lstm_transformers
Explore advanced neural networks for crafting captivating headlines! Compare LSTM 🔄 and Transformer 🔀 models through interactive notebooks 📓 and easy-to-use wrapper classes 🛠️. Ideal for content creators and data enthusiasts aiming to automate and enhance headline generation ✨.
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Jabulente/Machine-Learning-Classifications-Models
This repository contains a machine learning model designed to classify different landrace bean varieties based on their biometric and growth characteristics. Using Python, the model applies advanced classification algorithms to distinguish bean varieties accurately.
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ChathurangiShyalika/AAAI-Lab-Rare-Event-Prediction
Developing explainable multimodal AI models with hands-on lab on the life-cycle of rare event prediction in manufacturing @ AAAI-25
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ArtZaragozaGitHub/ML--P2_Predicting_Loan_Purchases
Anticipating Loan-Eligible Bank Customers with a High Probability of Successfully Purchasing a Bank Loan.
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TheVinh-Ha-1710/Diabetes-Predictive-Model
This project aims to train a predictive model to diagnose diabetes on women patients.
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SayamAlt/Financial-News-Sentiment-Analysis
Successfully developed a fine-tuned DistilBERT transformer model which can accurately predict the overall sentiment of a piece of financial news up to an accuracy of nearly 81.5%.
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SayamAlt/Fake-News-Classification-using-fine-tuned-BERT
Successfully developed a text classification model to predict whether a given news text is fake or not by fine-tuning a pretrained BERT transformed model imported from Hugging Face.
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ANAS727189/AutoML-MLOps
AutoML-MLOps is a comprehensive platform that simplifies the machine learning workflow by automating model development, training, and deployment. With features like real-time dashboards, interactive data visualization, and automated target selection, it enables both beginners and experienced data scientists to save time and improve model accuracy.
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cudjoejosephine/AI-Machine-Learning-Projects
This repository serves as a central hub for my machine learning projects, showcasing a variety of techniques, algorithms, and applications. It demonstrates my expertise in machine learning and provides a resource for others to learn and explore.
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alhadikhan/Waiter-Calling---Hand-Raise-Detection-Challenge
This repository contains a Python script to process a provided video to detect hand raises at specific desks using the YOLOv8 object detection model. The project includes steps for extracting video frames, preparing a labeled dataset, training the YOLOv8 model, and performing inference to identify and locate hand raises in the video.
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Manraj29/Student-Dropout-Attrition-Risk
This project aims to predict the risk of student attrition by analyzing various features, such as academic performance, attendance, and involvement in extracurricular activities. By utilizing machine learning models, this project provides insights into potential risk factors for student dropout and suggests proactive measures for student retention.
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SayamAlt/Mental-Health-Classification-using-fine-tuned-DistilBERT
Successfully established a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify several distinct types of mental health statuses such as anxiety, stress, personality disorder, etc. with an accuracy of 77%.
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SayamAlt/TMDB-Movies-End-to-End-ETL-and-ML-Pipeline
This project encompasses end-to-end ETL and ML pipeline development. Data ingestion from TMDB API covered top-rated, current, upcoming, and popular movies with genres. Performed EDA to derive several valuable insights and observations. Developed a regression model with 97% r2 score to predict average movie ratings accurately.
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gurram46/Fraud-Detection-with-Neural-Network
A neural network-based approach for detecting fraudulent transactions, originally developed for a Kaggle competition.
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harmanveer-2546/Heart-Failure-Prediction
Heart failure is a severe condition in which the heart is unable to pump blood effectively. Early prediction of heart failure can significantly improve patient outcomes. This project aims to build a predictive model using machine learning techniques to identify patients at risk of heart failure.
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lucianoscarpaci/Preneumonia-Classification
EfficientNet-Based Deep Learning Model for Early Preneumonia Detection. This project uses Pytorch and EfficientNet to perform classification on X-ray images whether it is Preneumonia or Normal.
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SayamAlt/Luxury-Apparel-Product-Category-Classification-using-fine-tuned-DistilBERT
Successfully developed a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify various distinct types of luxury apparels into their respective categories i.e. pants, accessories, underwear, shoes, etc.
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AmadIrfan/Movies-Genres-Prediction
Movies Genres Prediction
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SayamAlt/Natural-Scenes-Image-Classification-using-CNNs
Successfully established an image classification model using PyTorch to classify the images of several distinct natural sceneries such as mountains, glaciers, forests, seas, streets and buildings with an accuracy of 86%.
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ITRoselloSignoris/Fraud-Detection-and-Prevention-Model
Final Project for Edvai´s Data Science & MLOps Bootcamp
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SayamAlt/Oral-Disease-Classification-using-CNN
Successfully developed an image classification model using PyTorch to classify two types of oral diseases, namely caries and gingivitis.
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SayamAlt/Egg-Sales-Forecasting-using-LSTM
Successfully established an LSTM model using Pytorch to forecast egg sales at a local shop based on historical sales data of the last 30 years.
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SayamAlt/PDB-Electric-Power-Load-Forecasting-using-LSTM
Successfully developed an LSTM model to forecast electric power load using PyTorch based on historical PDB electric power load data.
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SayamAlt/Global-Equity-Forecasting-using-LSTM
Successfully established an LSTM model to effectively forecast global equity based on over 20+ years of historical data of global equity.
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SayamAlt/Brain-Tumor-Image-Classification
Successfully developed an image classification model to classify images of distinct types of brain tumors such as glioma tumor, meningioma tumor, pituitary tumor, etc.
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SayamAlt/Wine-Cultivator-Classification-using-ANN
Successfully established an ANN model which can classify wine cultivators based on several characteristics of distinct wines.
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DhanashriPatil11/PRODIGY_ML_01
This repository contains the projects and code I developed during my machine learning internship at Prodigy Infotech. The work focuses on applying machine learning techniques to solve real-world problems, leveraging tools like Python, Numpy, Pandas, and scikit-learn.
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SayamAlt/Airline-Passenger-Satisfaction-Classification
Successfully developed a machine learning model to predict Airline Passenger Satisfaction by building an end-to-end MLOps pipeline. It integrates DVC for data versioning, a Dockerfile for containerization, and CI/CD using GitHub Actions for automated deployment.
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Anu0408/House-Price-Prediction-MachineLearning-Application
A real-time, end-to-end machine learning application built with Flask and integrated with MLflow for tracking and model management. The application predicts house prices based on user input, leveraging trained regression models and providing a web interface for seamless interaction.
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SayamAlt/Amazon-Products-API-ETL-and-ML-pipeline
In this project, I've created an end-to-end ETL pipeline and subsequently developed a machine learning model to predict the price of Amazon products based on several product-related features.
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SayamAlt/Company-Bankruptcy-Prediction
Successfully developed a machine learning model which can accurately predict whether a firm will become bankrupt or not, depending on various features such as net value growth rate, borrowing dependency, cash/total assets, etc.
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owaisahmadlone/deeplearning-code-raw-
This is my public repository with mostly experimental code I write while exploring or creating various deep(or not so deep) neural networks.
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amha-kindu/terguami
Terguami is a FastAPI application powered by a custom transformer model built with PyTorch. It provides fast and accurate English-to-Amharic translations, with features like Docker support and interactive OpenAPI documentation, making it a scalable and easy-to-deploy solution for machine translation.
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Rohit916214/Heart-Disease-Prediction
A machine learning project aimed at predicting the likelihood of heart disease based on patient data. This repository contains data preprocessing, model training, evaluation scripts, and visualization tools to analyze and interpret results. Ideal for healthcare analytics and research.
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Emna-chebbi/Census-Income-Dataset
This project aims to classify individuals based on census income data by predicting whether an individual's income is above or below a certain threshold, based on various demographic and employment features.
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mhakby/Deep_Learning_Internship_Works
This repository contains my internship works on Deep Learning at BG-TEK company.
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qtle3/random-forest-regressor
This project implements **Random Forest Regression** to predict the salary of an employee based on their position level. Using a dataset that includes position levels and corresponding salaries, this project demonstrates how an ensemble method like Random Forest can improve prediction accuracy by averaging multiple decision trees.
Language: Python - Size: 8.79 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0
Vivek02Sharma/Diabetes-Prediction-Project
Diabetes Prediction
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lavanya-saini/Driver-Drowsiness-Detection
Our project aims to revolutionize driver safety by implementing a state-of-the-art Deep Learning model designed to detect signs of driver drowsiness, unease, or sleepiness in real-time. Leveraging computer vision technology, the system analyzes data from in-car cameras to monitor facial features and eye movements.
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lavanya-saini/Pneumonia-Detection-using-CNNs
This project utilizes deep learning, specifically Convolutional Neural Networks (CNN), to automate the detection of pneumonia from chest X-ray images. The solution includes preprocessing techniques, and model optimization. Aimed at supporting healthcare professionals, this system enhances diagnostic efficiency and accuracy.
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DariMe20/GoGameProject
Go AI Reinforcement Learning Project - This repository is dedicated to exploring and comparing two reinforcement learning methods—gradient descent and Q-value learning—in developing intelligent agents for the board game Go. The goal is to observe the model’s evolution after generating thousands of self-played games and compare agents’ results.
Language: Python - Size: 511 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
jibbs1703/Loan-Approval-Prediction
This repository contains a Loan Approval Prediction Model. The model predicts the likelihood of loan approval based on applicant data. The model deployment is done using FastAPI to allow applicant data to be entered in order to obtain an approval prediction.
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Saherpathan/BioInnovate
Gene expression analysis and classification using XGBoost and Differential Expression Analysis (DES)
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qtle3/multiple-linear-regression
A Python implementation of multiple linear regression to predict the profit of startups based on their spending in R&D, Administration, Marketing, and the state they operate in.
Language: Python - Size: 11.7 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0
Alqama-svg/public_streamlit_ml_web_app
I deployed this bi-disease prediction model in python using Machine Laerning. Deployed this ML model as a web application on cloud streamlit. To see the model please visit
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SayamAlt/Steel-Energy-Consumption-Prediction-using-PySpark
Successfully established a machine learning model using PySpark which can precisely predict the energy consumption of the steel industry, up to an r2 score of approximately 99.5%.
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dyavadi8769/Boston_Housing_Price_Prediction
This repository contains a machine learning project aimed at predicting housing prices in Boston. This project showcases the end-to-end process of building and deploying a machine learning model, from data preprocessing and model training to serialization and deployment.
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niladrridas/Supervised-Learning
Gain a comprehensive understanding of supervised learning techniques.
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ssloth1/ISeeYou-Model-Boat-MNIST-Classification
ISeeYou is a model designed for binary image classification using the Boat-MNIST dataset. The dataset provides a simple hands-on benchmark to test small neural networks on the task of distinguishing between images containing watercraft and other images.
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AtikaAnjum/PRODIGY_ML_01
This repository includes a report about implementing a Linear Regression model to predict house prices using square footage, number of bedrooms, and number of bathrooms. The model demonstrated reliable performance and successfully predicted house prices for new input data.
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LokeshV790/Streamlit_Pneumonia_Detection_Deeplearnig
The Pneumonia Detection App is a web application designed to assist in the diagnosis of pneumonia using chest X-ray images. This project utilizes deep learning techniques implemented with TensorFlow and Keras for image classification, and is deployed using Streamlit for a user-friendly interface.
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ehtisham-sadiq/Cirrhosis-Patient-Outcome-Prediction
Multi-class classification model to predict outcomes of cirrhosis patients using machine learning
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SayamAlt/Cyberbullying-Classification-using-fine-tuned-DistilBERT
Successfully fine-tuned a pretrained DistilBERT transformer model that can classify social media text data into one of 4 cyberbullying labels i.e. ethnicity/race, gender/sexual, religion and not cyberbullying with a remarkable accuracy of 99%.
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SCUS3/Wage-Regression-Analysis
This project provides a comprehensive guide to implementing PCA from scratch and validating it using scikit-learn's implementation. The visualizations help in understanding the data's variance and the effectiveness of dimensionality reduction.
Language: Python - Size: 18.6 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
rosaleensiroosi/field-focus-ai
this computer vision / machine learning project uses YOLO to detect players, referees, and the ball, k-means for pixel segmentation (and to group players by their teams), and optical flow for motion tracking.
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jmarihawkins/neural-network-challenge-1
The purpose of this project is to predict student loan repayment success using a neural network. Neural networks are computational models inspired by the human brain's structure and function, consisting of layers of interconnected nodes or "neurons" that can learn to recognize patterns in data.
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nafisalawalidris/Employee-Attrition-Control
The Employee Attrition Control project uses data analysis and predictive modeling to understand and address employee turnover. It provides insights and recommendations to reduce attrition and improve employee satisfaction and retention.
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SayamAlt/English-to-Spanish-Language-Translation-using-Seq2Seq-and-Attention
Successfully established a Seq2Seq with attention model which can perform English to Spanish language translation up to an accuracy of almost 97%.
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SayamAlt/Symptoms-Disease-Text-Classification
Successfully developed a fine-tuned BERT transformer model which can accurately classify symptoms to their corresponding diseases upto an accuracy of 89%.
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LlfeSteal/CommentClassifier_AI 📦
Comment classifier model trainer using keras tensorflow, stanza tokenizer and transformers.
Language: Python - Size: 72.3 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
srimallipudi/Movie-Recommendation-Service-using-Apache-Spark
This project implements a movie recommendation service with Apache Spark using collaborative filtering. Utilizes MovieLens dataset for user ratings, predicting preferences based on similar users' ratings, and providing personalized movie recommendations for users based on their preferences and viewing history.
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SayamAlt/Superstore-Sales-Prediction
Successfully established a machine learning model that can accurately predict the sales of a superstore based on various features such as quantity, profit, discount, postal code, etc. The features are mainly associated with order details and customer demographics.
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patilkiran123/Seoul-Public-Bike-Trip-Analysis
The enhancement of Intelligent Transport Systems (ITS) involves the precise prediction of bike-trip durations, incorporating a comprehensive consideration of Seoul's weather conditions.
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patilkiran123/Marketing-Campaign-Analysis
Aditya Marketing is facing low response rates to their marketing campaigns. The objective of this project is to conduct thorough Exploratory Data Analysis, extracting insights through univariate and bivariate analysis. And Recommended strategic customer targeting tactics.
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patilkiran123/student-performance
Deployment ready machine learning model to predict the math scores of students based on various features related to their demographics, background, and academic engagement.
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patilkiran123/ai-robotics-employee-salary-insights-and-predictions
Addressing the challenge of employee turnover in AI Robotics, I conducted a detailed data analysis on a significant employee salary dataset using Python and Machine Learning techniques. Through thorough data cleaning and in-depth analysis, I aimed to uncover patterns and insights to inform strategies for maintaining a stable and skilled workforce.
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ialexmp/Machine-Learning
This Machine Learning repository encompasses theory, hands-on labs, and two projects. Project 1 analyzes customer segmentation for marketing using clustering, while Project 2 applies supervised classification in marketing and sales.
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KrajShuffle/Classifying_SpeechAudio_CNN
CNN Based Approach for Audio File Classification. Contains Notebooks Illustrating Data Preprocessing, Feature Extraction, Model Training, & Model Inference Workflows & Overall Pipeline
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Aayush711/Federated-Learning-Project
This repository contains a project showcasing Federated Learning using the EMNIST dataset. Federated Learning is a privacy-preserving machine learning approach that allows a model to be trained across multiple decentralized devices or servers holding local data samples, without exchanging them.
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SayamAlt/Credit-Card-Approval-Prediction
Successfully developed a machine learning model which can accurately predict up to 100% accuracy whether a credit card application of a given applicant would be approved or not, based on several demographic features such as applicant age, total income, marital status, total years of work experience, etc.
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SayamAlt/Taxi-Trip-Fare-Prediction
Successfully created a machine learning model which can accurately predict the fare of a taxi trip based on several features such as trip duration, tip amount, etc.
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SayamAlt/Employee-Attrition-Prediction
Successfully established a machine learning model which can accurately predict whether an employee of a given company will leave it in the impending future or not, based on several employee details and employment metrics.
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SayamAlt/Life-Expectancy-Prediction
Successfully established a machine learning model which can accurately predict the expected life duration of a human being based on several demographic features such as alcohol consumption per capita, average BMI of entire population, etc.
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SayamAlt/Concrete-Strength-Prediction
Successfully developed a machine learning model which can accurately predict the strength of cement based on various features such as blast furnace slag, water, coarse aggregate, etc.
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SayamAlt/E-Commerce-Text-Classification
Successfully established a machine learning model that can accurately classify an e-commerce product into one of four categories, namely "Books", "Clothing & Accessories", "Household" and "Electronics", based on the product's description.
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SayamAlt/Flight-Price-Prediction
Successfully established a machine learning model to accurately predict the price of a flight in India based on several features such as duration, days left, arrival time, departure time and so on.
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SayamAlt/Weather-Prediction-using-Machine-Learning
Successfully developed a machine learning model which can accurately classify the weather based on various features pertaining to weather-related data and atmospheric conditions.
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DALAI-project/Train_document_classification
Code that can be used for training a neural network model to classify input documents into distinct classes.
Language: Python - Size: 58.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
DALAI-project/Train_fault_detection
Code that can be used for training a neural network model to detect faults (sticky notes, folded corners etc.) in input documents.
Language: Python - Size: 106 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
vishwajeet161/End-to-End-Delivery-Time-Prediction
Zomato delivery time prediction
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Hamim-Hussain/Enhancing-Deep-Learning-Model-Performance
Nonprofit foundation Alphabet Soup wants a tool that can help it select the applicants for funding with the best chance of success in their ventures. Using machine learning and neural networks, you’ll use the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded.
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KishorAlagappan/house-price-prediction-app
🏡 Empower property market decisions with a machine learning model predicting house prices using the Boston Housing dataset. 💸🏠💹
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SayamAlt/Travel-Insurance-Claim-Prediction
Successfully established a supervised machine learning model that can accurately predict whether the travel insurance claim of a particular customer should be approved or not by a travel insurance agency.
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SayamAlt/Wine-Quality-Prediction
Successfully established a supervised machine learning model which can predict the quality of a wine to a high level of accuracy based on a certain set of features associated with the chemical properties and characteristics of that specific wine.
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GvHemanth/CNN-Cats-vs-Dogs-Image-Augmentation-
This project showcases a cats vs dogs image classification model using image augmentation and Keras. It employs deep learning and convolutional neural networks (CNNs) to accurately classify images of cats and dogs.
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JLeigh101/deep-learning-challenge
NU Bootcamp Module 21
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aayush301/Machine-learning-lab
This repository contains several ML algorithms wriiten from scratch that are covered in ML lab.
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