praveen76 Goto Github PK

employee-attrition-mini-project

Address employee attrition effectively with this mini project. Discover a comprehensive solution leveraging data analytics and machine learning techniques. Uncover insights, build predictive models, and implement strategies to mitigate attrition risks, fostering a resilient and productive workforce.

excercise-questions-in-python

Here are couple of exercise questions in Python

face-mask-detection-using-cnn

face-mask-detector-using-retinanet-model

Create a reliable face mask detector with this repository, showcasing the implementation of a powerful Keras-RetinaNet model. Learn to leverage deep learning for accurate face mask detection, promoting safety in diverse environments. Enhance your skills and contribute to public health with this comprehensive solution.

faker-library-in-python

Create Fake data using Faker Library in Python

fashion-mnist-classification-using-dense-neural-network

Fashion-MNIST-Classification-using-Dense-Neural-Network addresses a classification problem on the Fashion MNIST dataset. With 60K training and 10K test samples of 28x28 grayscale images, the dataset spans 10 classes. Leveraging Keras, this project explores Dense Neural Networks using both Sequential and Functional APIs for efficient classification.

fine-tune-llama-with-qlora

This repository showcases the implementation of the QLoRA Method to fine-tune the Llama language model, enabling efficient deployment of lightweight models for various downstream tasks in natural language processing. Explore advanced techniques for enhancing LLMs in practical applications.

finetune-open-source-llms-on-custom-data

Fine-tune open-source Language Models (LLMs) on E-commerce data, leveraging Amazon's sales data. Showcase a tailored solution for enhanced language understanding and generation with a focus on custom E-commerce datasets.

flagship-projects-hub

This is a comprehensive GitHub repository that serves as a central hub for managing and showcasing a few of the most significant and influential projects. This repository is a curated collection of flagship initiatives and ML & AI applications, consolidating them in one location for easy access, collaboration, and visibility.

flask-calculator-beginner-docker

This is Beginners Friendly Flask Application which does the basic arithmetic operations (+,-,*,/)

gitexcercise

gpt3-sandbox

The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

health-care-project

hello-world

Devops

house-prices--advanced-regression-techniques

House-Prices--Advanced-Regression-Techniques project tackles a regression problem, predicting house prices using 80 input features like MSSubClass, LotFrontage, LotArea, etc. The target variable is SalePrice. Leveraging XgBoost, this project aims for accurate and advanced regression techniques in house price prediction.

hybrid-recommender-system-on-e-commerce-data

Explore the Hybrid Recommender System on E-commerce Data repository! This GitHub project showcases a solution for building a hybrid recommender system. Dive into the code, discover innovative approaches, and enhance your understanding of creating effective recommendation systems tailored for E-commerce Data.

image-segmentation-using-u-net-model

introduction-to-llms

Dive into the world of Large Language Models (LLMs) with this comprehensive repository. From understanding basics to exploring various LLMs, finetuning on downstream tasks, and deploying models using Vector DBs like Qurant, this guide equips you with essential skills for harnessing the power of LLMs in your projects.

keras-retinanet

Keras implementation of RetinaNet object detection.

leads_status_mlmodeldeployment

Leads_status_mlModelDeployment

leadtimeserieslstmmodel

LeadTimeSeriesLstmModel

llm-projects-archive

The "LLM Projects Archive" is a centralized GitHub repository, offering a diverse collection of Language Model Models projects. A valuable resource for researchers, developers, and enthusiasts, it showcases the latest advancements and applications in the realm of LLMs. Explore and contribute to the dynamic landscape of language model projects.

llms-api-usage-best-practices

Explore best practices for utilizing Large Language Models (LLMs) APIs effectively. From secure API key management to error handling, this repository provides guidance and code examples for seamless integration, optimal performance, and adherence to API provider guidelines. Elevate your LLM API usage with these tried-and-tested practices.

llms-interview-prep-guide

Welcome to the LLMs Interview Prep Guide! This GitHub repository offers a curated set of interview questions and answers tailored for Data Scientists. Enhance your understanding of Large Language Models, prepare for technical interviews, and excel in the evolving landscape of data science with a focus on LLM applications.

lung-segmentation-using-resnet50-and-deeplabv3

machine-learning-interview-preparation

Explore the Machine Learning Interview Prep repository, your go-to for curated questions and answers tailored for data scientists. Elevate your skills, tackle technical interviews with confidence, and prepare for success in the dynamic field of machine learning!!

machine-learning-projects

machine_learning_examples

A collection of machine learning examples and tutorials.

marketmixmodel

mlops