model-training-and-evaluation

There are 1 repository 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 20
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 5
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.
dataprivacy federated-learning google-colab jupyter-notebook machine-learning machine-learning-algorithms model-evaluation-metrics model-training model-training-and-evaluation privacy-protection python python3
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
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
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 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
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 1
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.
classification-models data-cleaning data-visualization exploratory-data-analysis model-selection model-training-and-evaluation predictive-modeling
Language:Jupyter Notebook 1
SayamAlt / Black-Friday-Sales-Prediction
Successfully established a machine learning regression model which can estimate the gross Black Friday sales for a particular customer, based on a distinct set of related and meaningful features, to a fair level of accuracy.
data-visualization exploratory-data-analysis feature-engineering machine-learning model-deployment regression-analysis regression-modelling regression-testing supervised-learning artificial-neural-networks deep-learning model-training-and-evaluation
Language:Jupyter Notebook 1
SayamAlt / Walmart-Weekly-Sales-Prediction-using-Machine-Learning
Successfully established a supervised machine learning model which can accurately forecast the total weekly sales amount obtained at Walmart stores, based on a certain set of features provided as input.
cross-validation data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization model-training-and-evaluation supervised-machine-learning
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
yupeeee / WAH
a library so simple you will learn Within An Hour
lightning pytorch machine-learning model-training-and-evaluation
Language:Python 1
Annbelbella / Deep_Learning_Challenge
The 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
data-science deep-learning get-dummies hidden-layers machine-learning model-optimization model-training-and-evaluation neural-network pandas predictive-modeling python
Language:Jupyter Notebook 0
dyavadi8769 / Boston_Housing_Price_Prediction_ML_Project
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.
data-preprocessing deployment exploratory-data-analysis linear-regression machine-learning model-training-and-evaluation postman-api serialization standarization
Language:Jupyter Notebook 0
dyavadi8769 / University_Admission_Prediction_ML_Regularization
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.
cross-validation exploratory-data-analysis flask-application lasso-regression linear-regression model-training-and-evaluation ridge-regression
Language:Jupyter Notebook 0
CNN-Cats-vs-Dogs-Image-Augmentation-
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.
deep-learning image-augmentation keras matplotlib model-training-and-evaluation python tensorflow
Language:Jupyter Notebook 0
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
convolutional-neural-networks data-preprocessing feature-engineering feature-extraction model-inference model-training-and-evaluation speech-classification metrics-visualization
Language:Jupyter Notebook 0
LlfeSteal / CommentClassifier_AI
Comment classifier model trainer using keras tensorflow, stanza tokenizer and transformers.
classifier classifier-model classifier-training keras-classification-models keras-tensorflow model-training-and-evaluation tensorflow
Language:Python 0
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.
data-analysis data-cleaning data-science data-visualization model-selection model-training-and-evaluation predictive-analytics
Language:Jupyter Notebook 0
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.
data-analytics data-cleaning data-pipepline data-visualization model-deployment model-training-and-evaluation predictive-modeling regression-models
Language:Jupyter Notebook
satyamgupta53 / machine-learning-notebooks
Extensive Collection of Jupyter Notebooks focused on Machine Learning covering different techniques includes Feature Engineering, Feature Selection, Feature Extraction, Model Training & Testing.
feature-engineering feature-extraction feature-selection model-training-and-evaluation python3
Language:Jupyter Notebook
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.
cross-validation data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation regression-models
Language:Jupyter Notebook
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.
binary-classification cicd-deployment cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-retraining model-selection model-testing model-training-and-evaluation
Language:Jupyter Notebook
SayamAlt / Credit-Score-Classification
Successfully developed a machine learning model which can accurately classify the credit score of a customer based on his/her's basic bank details and a lot of other credit-related features.
cross-validation exploratory-data-analysis feature-engineering hyperparameter-tuning model-training-and-evaluation supervised-machine-learning
Language:Jupyter Notebook
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.
categorical-encoding cross-validation exploratory-data-analysis hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation text-classification text-preprocessing text-vectorization
Language:Jupyter Notebook
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.
binary-classification continuous-deployment continuous-integration cross-validation data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation data-exploration-and-preprocessing
Language:Jupyter Notebook
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.
data-visualization exploratory-data-analysis feature-engineering hyperparameter-tuning machine-learning model-deployment model-training-and-evaluation regression-models
Language:Jupyter Notebook
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.
cross-validation data-cleaning-and-preprocessing data-visualization docker end-to-end-pipeline exploratory-data-analysis feature-engineering github-actions-workflow hyperparameter-tuning machine-learning model-deployment model-training-and-evaluation
Language:Jupyter Notebook
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.
cicd-deployment cross-validation data-cleaning-and-preprocessing data-visualization exploratory-data-analysis feature-engineering github-actions-ci-cd hyperparameter-tuning machine-learning model-deployment model-retraining model-testing model-training-and-evaluation regression-models azure-machine-learning azure-web-app-service
Language:Jupyter Notebook
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.
cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-selection model-training-and-evaluation regression-modelling
Language:Jupyter Notebook
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.
binary-classification cross-validation data-cleaning-and-preprocessing exploratory-data-analysis feature-engineering hyperparameter-tuning model-training-and-evaluation supervised-machine-learning
Language:Jupyter Notebook
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.
artificial-neural-networks cross-validation deep-learning exploratory-data-analysis feature-engineering hyperparameter-tuning model-deployment model-training-and-evaluation supervised-machine-learning
Language:Jupyter Notebook
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.
exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-training-and-evaluation multiclass-classification supervised-machine-learning
Language:Jupyter Notebook
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
vishwajeet161 / End-to-End-Delivery-Time-Prediction
Zomato delivery time prediction
data-ingestion data-transformation flask-application model-training-and-evaluation pipeline python
Language:Python

model-training-and-evaluation

ksm26 / Finetuning-Large-Language-Models

SayamAlt / Company-Bankruptcy-Prediction

Aayush711 / Federated-Learning-Project

bethropolis / myia

KishorAlagappan / house-price-prediction-app

ialexmp / Machine-Learning

JLeigh101 / deep-learning-challenge

nafisalawalidris / Employee-Attrition-Control

patilkiran123 / Marketing-Campaign-Analysis

SayamAlt / Black-Friday-Sales-Prediction

SayamAlt / Walmart-Weekly-Sales-Prediction-using-Machine-Learning

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

yupeeee / WAH

Annbelbella / Deep_Learning_Challenge

dyavadi8769 / Boston_Housing_Price_Prediction_ML_Project

dyavadi8769 / University_Admission_Prediction_ML_Regularization

GvHemanth / CNN-Cats-vs-Dogs-Image-Augmentation-

KrajShuffle / Classifying_SpeechAudio_CNN

LlfeSteal / CommentClassifier_AI

patilkiran123 / Seoul-Public-Bike-Trip-Analysis

patilkiran123 / student-performance

satyamgupta53 / machine-learning-notebooks

SayamAlt / Concrete-Strength-Prediction

SayamAlt / Credit-Card-Approval-Prediction

SayamAlt / Credit-Score-Classification

SayamAlt / E-Commerce-Text-Classification

SayamAlt / Employee-Attrition-Prediction

SayamAlt / Flight-Price-Prediction

SayamAlt / Life-Expectancy-Prediction

SayamAlt / Superstore-Sales-Prediction

SayamAlt / Taxi-Trip-Fare-Prediction

SayamAlt / Travel-Insurance-Claim-Prediction

SayamAlt / Weather-Prediction-using-Machine-Learning

SayamAlt / Wine-Quality-Prediction

sheharyarone / Shoe-Classifier

vishwajeet161 / End-to-End-Delivery-Time-Prediction