divakarkumarp

100-Days-ML-DL-Challenge-

100 Days ML and DL Challenge is an intensive and transformative journey for individuals seeking to master the realms of Machine Learning (ML) and Deep Learning (DL). This challenge is designed to provide a structured and hands-on approach, allowing participants to gain practical experience in implementing various models on real-world datasets.

Amazon-Bedrock

AWS-SageMaker-Training-Xgboost-ML-ALgo

Bike-Sharing-Demand-Prediction

Currently Rental bikes are introduced in many urban cities for the enhancement of mobility comfort. It is important to make the rental bike available and accessible to the public at the right time as it lessens the waiting time. Eventually, providing the city with a stable supply of rental bikes becomes a major concern. The crucial part is the prediction of bike count required at each hour for the stable supply of rental bikes.

Blog-Generator-using-LLAMA-2

Blog generator is your AI sidekick for creating compelling blog content. Stuck staring at a blank page? Let the generator whisk away writer's block by crafting intros, outlines, and even full drafts based on your ideas and keywords. No coding needed, just feed it a topic and watch your blog posts come alive!

Boston-House-Prices-Prediction

Building-Chatboat-with-Langchain-Ollama

Simple web interface using Streamlit, a Python library, to interact with a language model called LLaMA3 from the Langchain library

Credit-Card-Default-Prediction-

This project is aimed at predicting the case of customers default payments in Taiwan

RAG-Chat-with-Documents

Chainlit app for RAG chat with documents Parsing PDF documents using LlamaParse, Qdrant, and the Groq model

Zomato-Restaurant-Data-Analysis

Downloaded restaurant data from zomato website for more than 56251 restaurants across Bengaluru, India. Ingested this data in MySQL database and performed ETL to remove outliers, clean up bad records, normalize revenue numbers to standard format using python, jupyter notebook and two standard deviation along with some other statistical techniques. For analysis of Bengaluru restaurants, used Excel, VBA macros and pivot table. Figured out best restaurants for north indian and south indian cuisine based on reviews.

divakarkumarp/RAG-Chat-with-Documents

Chainlit app for RAG chat with documents Parsing PDF documents using LlamaParse, Qdrant, and the Groq model

divakarkumarp/Building-Chatboat-with-Langchain-Ollama

Simple web interface using Streamlit, a Python library, to interact with a language model called LLaMA3 from the Langchain library

divakarkumarp/Gemini-pro-Streamlit-LLM-APP

Simple Streamlit and Gemini Pro Q&A chat app

divakarkumarp/Amazon-Bedrock

divakarkumarp/Boston-House-Prices-Prediction

divakarkumarp/Customer-Churn-Prediction

divakarkumarp/Customer-Segmentation

divakarkumarp/Deep-diving-into-RAG

divakarkumarp/Deployment-Kubernetes-Docker

divakarkumarp/divakarkumarp

divakarkumarp/DVC-Demo

Testing Data Version Control Open-Source ML Pipeline Automation

divakarkumarp/End-To-End-Webloader-RAG-App

Building End To End Webloader RAG Application

divakarkumarp/Evidently-AI-Demo

Testing Evidently AI open source python library

divakarkumarp/Fashion-MNIST-Classification

divakarkumarp/Generative-AI-Docker-HuggingFace

Building generative AI applications can be streamlined using Docker and Hugging Face's Docker Spaces

divakarkumarp/Get-Ready-Data

Exploring Unstructured

divakarkumarp/Implement-Positional-Encoding

Implement Positional Encoding

divakarkumarp/Intelligent-Chatbot

divakarkumarp/Langchain-falcon-chainlit

Discover LangSmith: Your gateway to crafting production-grade LLM (Large Language Model) applications with ease. Dive into a world of innovation and efficiency as LangSmith empowers you to create sophisticated language-driven solutions effortlessly.

divakarkumarp/LlamaParse-code-test

Parsing PDF, PPT, and Txt documents using LlamaParse, Qdrant, and the Groq model

divakarkumarp/Medical-Chatbot-Using-BioMistral

divakarkumarp/ML-Pipeline-with-Kubeflow

divakarkumarp/MLflow-LLMs

divakarkumarp/MLflow-Test

Testing MLflow & Dagshub open-source platform collaboration.

divakarkumarp/Movie-Recommendation-System

content-based recommender system suggests items based on their attributes, comparing them to the user's preferences. It utilizes item features to generate recommendations, fostering personalized suggestions without relying on user interactions or ratings.

divakarkumarp/nvidia-nim

Exploring nvidia-nim (NVIDIA Inference Module)

divakarkumarp/OpenCV-Practice

Practice OpenCV

divakarkumarp/Phi-3-Vision-MS-Multimodal

Phi-3-Vision-128K-Instruct Demo

divakarkumarp/RAPIDS-cuDF-Google-colab

RAPIDS cuDF Instantly Accelerates pandas up to 50x on Google Colab With Demo

divakarkumarp/Transformer-Neural-Network