Pinned Repositories
Advanced-Regression-House-Prices-in-R
House Price Prediction: Predict sales prices using machine learning. Train the model with the provided dataset (`data/train.csv`). Run predictions on the test set (`data/test.csv`). Check results in the `predictions` folder.
AI-Agent-Crew-Multi
AI-Laboratory
amazon-sagemaker-examples
Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using Amazon SageMaker.
AWS-Sagemaker-Mobile-Price-Classification
Deployed a mobile price prediction model using scikit-learn on AWS SageMaker. Trained a Random Forest classifier for accurate predictions based on key features. Streamlined deployment with a concise guide and seamless integration of AWS services.
AWS-Spark-WineQuality
Developing parallel machine learning applications in Amazon AWS cloud platform.
COVID-19-Dashboard
COVID-19 Dashboard: Real-time visualization of pandemic data including cases, deaths, and vaccinations. Interactive charts and maps provide insights into global and regional trends. Accessible and informative for tracking the impact of the virus.
Equity-Portfolio-Management-in-R
Equity Portfolio Management Project Analyzing 2018 daily data for 10 stocks using R. Strategies include "5 days rebalancing of buying low/high," dividend management, and currency conversion. Compare with a high-tech index, optimize rebalancing intervals. ---
FB-Player
The dataset contains English Premier League player attributes like age, market value, and club. Seaborn visualizations explore relationships. A linear regression model predicts player market value. Insights guide transfer negotiations.
Image-Recognition-Pipeline-AWS
guneet-kohli's Repositories
guneet-kohli/Image-Recognition-Pipeline-AWS
guneet-kohli/Advanced-Regression-House-Prices-in-R
House Price Prediction: Predict sales prices using machine learning. Train the model with the provided dataset (`data/train.csv`). Run predictions on the test set (`data/test.csv`). Check results in the `predictions` folder.
guneet-kohli/AI-Agent-Crew-Multi
guneet-kohli/amazon-sagemaker-examples
Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using Amazon SageMaker.
guneet-kohli/AWS-Sagemaker-Mobile-Price-Classification
Deployed a mobile price prediction model using scikit-learn on AWS SageMaker. Trained a Random Forest classifier for accurate predictions based on key features. Streamlined deployment with a concise guide and seamless integration of AWS services.
guneet-kohli/AWS-Spark-WineQuality
Developing parallel machine learning applications in Amazon AWS cloud platform.
guneet-kohli/COVID-19-Dashboard
COVID-19 Dashboard: Real-time visualization of pandemic data including cases, deaths, and vaccinations. Interactive charts and maps provide insights into global and regional trends. Accessible and informative for tracking the impact of the virus.
guneet-kohli/Equity-Portfolio-Management-in-R
Equity Portfolio Management Project Analyzing 2018 daily data for 10 stocks using R. Strategies include "5 days rebalancing of buying low/high," dividend management, and currency conversion. Compare with a high-tech index, optimize rebalancing intervals. ---
guneet-kohli/FB-Player
The dataset contains English Premier League player attributes like age, market value, and club. Seaborn visualizations explore relationships. A linear regression model predicts player market value. Insights guide transfer negotiations.
guneet-kohli/az-oai-chatgpt-streamlit-harness
A fully python based Streamlit development harness for ChatGPT hosted in Azure OpenAI Service.
guneet-kohli/azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
guneet-kohli/c-programs
guneet-kohli/CG
guneet-kohli/CloudComputing
guneet-kohli/COVID19
Dashboard/ Web App
guneet-kohli/dash4azure
guneet-kohli/DBMS
guneet-kohli/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
guneet-kohli/Hotel-Management-Project-Java
It is a Hotel Management tool which can be used to manage activites like storing customer details, booking rooms of four different types, ordering food for particular rooms, unbooking rooms and showing the bill.
guneet-kohli/jina
Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data
guneet-kohli/llmops-promptflow-template
LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.
guneet-kohli/MovieTicket
Simple Python program for booking movie tickets. Features include greeting the user, displaying movie options, allowing user selection, ticket booking with availability checks, and thanking the user. Enhancements include a more user-friendly movie selection process and the ability to apply coupon codes for discounts (5%, 10%, 15%).
guneet-kohli/NJ_ML
Machine Learning Coding Repos
guneet-kohli/promptflow
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
guneet-kohli/Sign-Language-to-Text
A python based app which can convert the shown sign language using hand to text in real time
guneet-kohli/Sign-Language-to-Text-in-a-Client-Server-Environment
guneet-kohli/SparkAWSWinePredictionApp
guneet-kohli/Spoken-Tutorial-IITB
guneet-kohli/SpokenTutorial
guneet-kohli/wineAppPred
Wine