modeltraining
There are 40 repositories under modeltraining topic.
AvishakeAdhikary/Realtime-Sign-Language-Detection-Using-LSTM-Model
Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.
itsmethahseer/classfication_part2
Welcome to the Machine Learning Repository! This repository is a collection of notebooks showcasing various machine learning projects and implementations. It incluedes Decision tree algorithm, Random forest , Support vector machine etc.
SilenceGeneric/DarkAI
A dark web analysis tool.
SURESHBEEKHANI/Finetune-LLAMA-2-On-Your-DataSet-AutoTrain-From-Hugging-Face
This project fine-tunes the LLaMA-3.1-8B model using LoRA adapters for parameter-efficient training. It leverages chat templates for conversation structuring, utilizes 4-bit quantization for memory efficiency, and saves the fine-tuned model for deployment on the Hugging Face Hub.
bilet-13/No_code_DNN
Web platform allows users to upload CSV files and train a machine learning model using the uploaded data
Jimmymugendi/Titanic-Survival-Prediction-Using-Machine-Learning
An advanced machine learning project deploying a model for Titanic passenger survival prediction, including deployment on ngrok for easy access.
rishaviitd/Piramal_hackathon
Machine Learning model capable of accurately predicting the Rate of Interest (ROI) from bureau data
samchak18/Capstone_Project_3_Coronavirus-Tweet-Sentiment-Analysis
AlmaBetter Capstone Project -Classification model to predict the sentiment of COVID-19 tweets. The tweets have been pulled from Twitter and manual tagging has been done then.
ShivangeeRajput/AgroShield
A Deep Learning application designed to detect plant 🌱diseases using images of plant leaves🌿, powered by TensorFlow technology.
7PAM2015-0105-2023-TEAM17/Kaggle-Challenge-Team-17
This is a Data Science task related to kaggle challenge of Titanic Spaceship
Anithanaidu33/Stock-Prediction
This project aims to predict the future stock prices of various companies using machine learning and deep learning techniques. By analyzing historical stock price data and incorporating relevant features, the goal is to build accurate and robust models that can forecast stock prices over different time horizons.
Anithanaidu33/Titanic-Classification
The Titanic classification problem involves predicting whether a passenger on the Titanic survived or not, based on various features available about each passenger. The sinking of the Titanic in 1912 is one of the most infamous maritime disasters in history, and this dataset has been widely used as a benchmark for predictive modeling.
khizraayaseen/AI-price-prediction
This project focuses on predicting the prices of clothes based on various features such as category, size, and color. Leveraging the power of machine learning, specifically supervised learning algorithms, we aim to build a robust predictive model capable of estimating prices with high accuracy.
Mahenoor-Merchant/Diabetes-Prediction
The Diabetes Prediction Model is a machine learning application that predicts diabetes based on input features such as pregnancies, glucose level, blood pressure, skin thickness, insulin, BMI, diabetes pedigree function, and age. It utilizes a logistic regression algorithm for binary classification.
nardyjh/deep-learning-model
Alphabet Soup Charity: A deep learning model to predict the success of charitable donations, enhancing decision-making for fund allocation and impact optimization.
OmerGamie/mlproject
This repo hosts an end-to-end machine learning project designed to cover the full lifecycle of a data science initiative. The project encompasses a comprehensive approach including data Ingestion, preprocessing, exploratory data analysis (EDA), feature engineering, model training and evaluation, hyperparameter tuning, and cloud deployment.
rachitdani/Credit-Card-Fault-Detection-Project
This project detects if the card holder will default on the credit payment on the following month or not by implementation of various ML Classification Algorithms in a modular coding format
shubhamparmar1/FraudShield
This project aims to develop a machine learning model for proactive fraud detection in financial transactions.
shubhamparmar1/Gold-en-Eye
This project aims to develop a forecasting model for predicting the price of gold.
shubhro2002/Life-Expectancy-Analysis-and-Prediction
This repository contains the LifeExpectancy Prediction Project, a comprehensive data science project aimed at predicting life expectancy based on various health, economic, and social factors. The project includes steps for data preprocessing, exploratory data analysis (EDA), model selection, training, hyperparameter tuning, and model interpretation
SililaWijesinghe/Vegetable-Detection-with-Tensorflow-learning-PYTHON
One notebook trains a vegetable classification model with InceptionV3 using TensorFlow and Keras. The second notebook showcases the pre-trained model's inference on vegetable categories, loading InceptionV3 and enhancing image features. Together, they offer a compact solution for vegetable classification through deep learning.
ainy-rehman/largelanguagemodel_consumerbrand
This project utilizes a machine learning model where consumer brand data is employed. Initially, a preliminary model is developed, followed by a refined model using a process called 'fine-tuning' to improve results. Additionally, a comprehensive testing suite has been created to validate accuracy and reliability of the model's predictions.
arjunraj79/Custom_NIDS_with_ML
A simple Python script to check the strength of a password based on length, the inclusion of numbers, special characters, and upper/lower case letters.
bizzorotical-ank01/Diabetes-Prediction-System
Diabetes Prediction Web App
Chatura-17/Car-Price-Prediction
This project aims to predict the prices of cars based on various features such as year of manufacture, brand, mileage, and other relevant factors. Leveraging machine learning algorithms, this project explores different regression techniques to create an accurate model for car price prediction.
dheerajkallakuri/Posture-Prediction-with-Neural-Networks
Posture classification system that uses an IMU sensor.
ghulam-ahmad-1/House-prize-Prediction
Model Trainig To predict the Prize Of House
Huzaifa-367/MLOps-Text-Classification
Text Classification with Naive Bayes
Jatin-Mehra119/Heart_Disease_Predictor
Data Analysis, Model Training, Model Deployment.
PartiGayatri/heart-failure-prediction
Predicting heart failure using Decision Tree algorithm with a dataset sourced from Kaggle. Achieved 99% accuracy, demonstrating robust performance as a binary classifier.
SemesterProjectSixth/Text-Summarizer
This is a project which allows a user to translate, summarize, paraphrase and humanize it. It is basically a web application that allows user to enhance their content by providing these features.
shubhamdeepkeshav/FRAUD-DETECTION-PROJECT
Welcome to the Fraud Detection Project! This repository uses machine learning 🧠 to detect fraudulent transactions 💳. It includes data preprocessing 🛠️, model training 📚, evaluation 📊, and visualization 📈. Explore, experiment, and contribute 🤝 to improve fraud detection accuracy. Check the README for setup and usage instructions.
shubhamsoni98/Capstone_Project_1_Financial-Analytics
Predicting Stock Prices for Top 5 Global Tech Companies
shubhamsoni98/Classification-with-Random-Forest---2
Fraud detection is a critical task for financial institutions and businesses. This document outlines the end-to-end process of predicting fraudulent activities using a Random Forest model. The process includes data preparation, exploration, model training, and evaluation.
shubvats/house-price-prediction
Repository for predicting house prices using the Ames Housing dataset. Implements advanced regression techniques with TensorFlow Decision Forests, including Random Forests. The project covers data exploration, feature engineering, model training, evaluation, and visualization.
Thilagavijayan/Datascience_Mentorship_and_Development
This repository serves as a comprehensive resource for understanding and implementing various feature selection techniques, gaining familiarity with Jupyter Notebook, and mastering the process of model training and evaluation