model-training-and-evaluation

There are 2 repositories under model-training-and-evaluation topic.

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.
large-language-models model-training-and-evaluation data-preparation-for-nlp fine-tune-llms finetuning-large-language-models data-scientist machine-learning adaptive-models advanced-nlp-techniques language-model-fine-tuning model-adaptation nlp-enthusiast
Language:Jupyter Notebook 53
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.
binary-classification cicd-deployment cross-validation data-exploration-and-preprocessing data-visualization docker-container exploratory-data-analysis feature-engineering github-actions hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation
Language:Jupyter Notebook 7
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.
federated-learning google-colab jupyter-notebook python python3 dataprivacy machine-learning machine-learning-algorithms model-evaluation-metrics model-training model-training-and-evaluation privacy-protection
Language:Jupyter Notebook 4
nikitaprasad21 / Credit-Risk-Modeling
Leveraging data-driven approaches to mitigate Credit Risk and optimize financial strategies in the banking sector.
chi-square-test feature-engineering feature-extraction feature-selection fine-tuning model-training-and-evaluation python
Language:Jupyter Notebook 4
myia
bethropolis / myia
An Image classifier model and builder for binary image classification.
ai-model image-classification model model-training-and-evaluation
Language:Python 2
ehtisham-sadiq / Cirrhosis-Patient-Outcome-Prediction
Multi-class classification model to predict outcomes of cirrhosis patients using machine learning
classification competition data-preprocessing encoding-algorithms exploratory-data-analysis feature-engineering machine-learning machine-learning-algorithms missing-data-imputation model-training-and-evaluation multiclass-classification
Language:Jupyter Notebook 2
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.
artificial-intelligence clustering-algorithm clustering-techniques customer-segmentation data-analysis data-science k-means-algorithm machine-learning machine-learning-algorithms machine-learning-concepts mixture-of-gaussians model-training-and-evaluation project-based-learning supervised-classification supervised-learning supervised-machine-learning data-science-and-ai-engineering marketing-and-sales-classification
Language:Jupyter Notebook 2
karimosman89 / AI-Project
This project, you will build a full AI pipeline for an image classification task using Convolutional Neural Networks (CNNs). The project will cover data ingestion, preprocessing, model training, deployment, and CI/CD integration using GitHub Actions, Docker, and AWS.
airflow ci-cd-pipeline containerization data-ingestion deployment docker flask kubernetes-cluster mlflow model-training-and-evaluation orchestration terraform
Language:Python 2
karimosman89 / ML-Pipeline-AWS
This project aims to build a machine learning pipeline that predicts customer churn using AWS services like SageMaker for model training and deployment, along with Docker for containerization.
data-integration data-preprocessing model-deployment model-training-and-evaluation monitoring-tool
Language:Python 2
KishorAlagappan / house-price-prediction-app
🏡 Empower property market decisions with a machine learning model predicting house prices using the Boston Housing dataset. 💸🏠💹
data-preprocessing data-science data-visualization git-github machine-learning machine-learning-regression model-training-and-evaluation python version-control
Language:Jupyter Notebook 2
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.
feature-engineering hyperparameter-tuning ml ml-project model model-training-and-evaluation
Language:Jupyter Notebook 2
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.
model-training-and-evaluation python statistical-analysis time-series-analysis turnover-analysis data-exploration-and-preprocessing data-visualization-and-storytelling feature-selection-and-engineering predictive-modeling-techniques
Language:Jupyter Notebook 2
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.
deep-learning deep-neural-networks llms mlops model-training-and-evaluation
Language:Jupyter Notebook 2
AllanOtieno254 / House-Sales-Price-Prediction-2
This repository contains code for predicting house sales prices using machine learning models. It includes data preprocessing, model training, evaluation, and prediction on test data.
data-preprocessing data-visualization feature-engineering model-training-and-evaluation
Language:Jupyter Notebook 1
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
data-collection data-preprocessing data-science datasets deep-learning deployment diabetes heart-disease interactive-visualizations jupyter-notebook kaggle machine-learning machine-learning-algorithms model-training-and-evaluation predictive-modeling python results spyder
Language:Jupyter Notebook 1
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.
ag-grid-react automl graphana h2oai ml mlops mlops-workflow nextjs nodejs python reactjs recharts-js shadcn-ui tailwindcss model-training-and-evaluation typescript python3
Language:TypeScript 1
Anu0408 / House_Price_Prediction-Machine_Learning_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.
accuracy continous-deployment continous-integration cross-validation data-cleaning-and-preprocessing data-ingestion feature-engineering feature-selection gridsearchcv hyperparameter-tuning joblib mlflow model-deployment model-evaluation model-performance-metrics model-training-and-evaluation pickle rmse model-seria scaling-and-normalization
Language:Python 1
bhaveshGhanchi / FakeNewsPrediction
Fake News Prediction Model
logistic-regression model-training-and-evaluation numpy pandas python sklearn
Language:Jupyter Notebook 1
DonArtkins / flaskify
A minimalist, high-performance Flask REST API Template with built-in rate limiting and best practices.
cli cli-tool flask flask-api flask-restful templates python python3 model-training-and-evaluation models api-routes api-versioning postman requests
Language:Shell 1
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.
exploratory-data-analysis feature-engineering jupyter-notebook matplotlib model-training-and-evaluation numpy pandas python sckiit-learn seaborn visualization-of-results
Language:Jupyter Notebook 1
ITRoselloSignoris / Data-Science-Model-Deployment-
Project made for Data Science & MLOPS Bootcamp from Edvai - 6th week exercise
docker classification-model fastapi random-forest-classifier uvicorn model-deployment data-preparation data-visualization model-training-and-evaluation
Language:Jupyter Notebook 1
JLeigh101 / deep-learning-challenge
NU Bootcamp Module 21
activation-functions deep-learning get-dummies hidden-layers keras-tensorflow machine-learning model-optimization model-training-and-evaluation neural-network predictive-modeling python standardscaler dataframe pandas scikit-learn relu-activation sigmoid-activation tanh-activation
Language:Jupyter Notebook 1
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.
augmentation convolutional-neural-networks deep-learning machine-learning model-training-and-evaluation opencv tensorflow yolo
Language:Jupyter Notebook 1
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.
data-preprocessing feature-engineering interpretation-of-results model-training-and-evaluation multiple-linear-regression-model prediction-algorithm
Language:Python 1
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.
ensemble-learning model-training-and-evaluation prediction random-forest-regression
Language:Python 1
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.
apache-spark azure-data-factory azure-data-lake-storage-gen2 azure-databricks data-ingestion delta-lake etl-pipeline extract-transform-load feature-engineering linear-regression machine-learning model-training-and-evaluation regression-models spark-mllib spark-sql
Language:Python 1
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.
bert-embeddings bert-model data-analysis data-visualization deep-learning fine-tuning-bert model-evaluation model-training-and-evaluation text-classification text-preprocessing text-tokenization tokenizer-nlp wordcloud-visualization
Language:Jupyter Notebook 1
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%.
data-exploration-and-preprocessing distilbert-model fine-tune-bert-tensorflow hugging-face-transformers model-architecture-and-implementation model-inference model-training-and-evaluation multiclass-classification natural-language-processing sentiment-analysis text-preprocessing text-tokenization
Language:Jupyter Notebook 1
SayamAlt / Wind-Solar-Electricity-Production-Forecasting-using-LSTM
This project forecasts the total wind and solar electricity production using Long Short-Term Memory (LSTM) neural networks implemented in PyTorch. The model leverages time-series data to predict future renewable energy generation, helping to optimize energy management and grid stability.
long-short-term-memory-network lstm-neural-networks model-training-and-evaluation pytorch recurrent-neural-networks time-series-forecasting
Language:Jupyter Notebook 1
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 ✨.
deep-learning lstm lstm-model lstm-neural-networks model-comparison model-training model-training-and-evaluation natural-language-processing text-generation text-vectorization transformers
Language:Jupyter Notebook 1
sheharyarone / Shoe-Classifier
using YOLOv7 for shoe detection and ResNet for shoe classification
model-training model-training-and-evaluation resnet yolov7 data-annotation flask image-processing-python machine-learning
Language:Jupyter Notebook 1
sohbatSandhu / california-housing-price-prediction
California Housing Prediction - Full Machine Learning Project with deployment configurations and utilizing cloud databases for storage
aws azure html-css mlops mongodb-atlas python ci-cd-pipeline data-science kaggle-dataset model-training-and-evaluation
Language:Jupyter Notebook 1
srimallipudi / Movie-Recommendation-Service-using-Apache-Spark
This project implements a movie recommendation service with Apache Spark using collaborative filtering.
collaborative-filtering data-preprocessing exploratory-data-analysis model-training-and-evaluation predictive-modeling
Language:Jupyter Notebook 1
ssloth1 / MNIST-Boat-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.
binary-cl machine-learning model-training-and-evaluation neural-network python
Language:Jupyter Notebook 1
Diabetes-Predictive-Model
TheVinh-Ha-1710 / Diabetes-Predictive-Model
This project aims to train a predictive model to diagnose diabetes on women patients.
data-analysis data-science data-visualization model-training-and-evaluation python
Language:Jupyter Notebook 1
yupeeee / WAH
a library so simple you will learn Within An Hour
lightning pytorch machine-learning model-training-and-evaluation
Language:Python 1

model-training-and-evaluation

ksm26 / Finetuning-Large-Language-Models

SayamAlt / Company-Bankruptcy-Prediction

Aayush711 / Federated-Learning-Project

nikitaprasad21 / Credit-Risk-Modeling

bethropolis / myia

ehtisham-sadiq / Cirrhosis-Patient-Outcome-Prediction

ialexmp / Machine-Learning

karimosman89 / AI-Project

karimosman89 / ML-Pipeline-AWS

KishorAlagappan / house-price-prediction-app

Manraj29 / Student-Dropout-Attrition-Risk

nafisalawalidris / Employee-Attrition-Control

owaisahmadlone / deeplearning-code-raw-

AllanOtieno254 / House-Sales-Price-Prediction-2

Alqama-svg / public_streamlit_ml_web_app

ANAS727189 / AutoML-MLOps

Anu0408 / House_Price_Prediction-Machine_Learning_Application

bhaveshGhanchi / FakeNewsPrediction

DonArtkins / flaskify

harmanveer-2546 / Heart-Failure-Prediction

ITRoselloSignoris / Data-Science-Model-Deployment-

JLeigh101 / deep-learning-challenge

lavanya-saini / Driver-Drowsiness-Detection

qtle3 / multiple-linear-regression

qtle3 / random-forest-regressor

SayamAlt / Amazon-Products-API-ETL-and-ML-pipeline

SayamAlt / Fake-News-Classification-using-fine-tuned-BERT

SayamAlt / Financial-News-Sentiment-Analysis

SayamAlt / Wind-Solar-Electricity-Production-Forecasting-using-LSTM

sergio11 / headline_generation_lstm_transformers

sheharyarone / Shoe-Classifier

sohbatSandhu / california-housing-price-prediction

srimallipudi / Movie-Recommendation-Service-using-Apache-Spark

ssloth1 / MNIST-Boat-Classification

TheVinh-Ha-1710 / Diabetes-Predictive-Model

yupeeee / WAH