This complete hands-on data science tutorial for beginners will help you learn data science fundamentals and guide you step by step on your journey towards becoming a data scientist.
Bridge the gap between learning and applying data science skills through data science projects designed by Industry Experts from PayPal, Uber, JP Morgan, Paytm. More data science projects coming soon!
In this AI project, you will learn to design and deploy an AI-powered Gmail workflow that automatically classifies emails by urgency, applies contextual organization with labels, drafts responses, and delivers actionable summaries.
Build a multi-agent AI personal assistant using Autogen that can handle tasks like managing calendars, emails, reminders, messaging, research, and weather updates, automating everyday workflows with LLMs and tool integrations.
In this AI Project, you will learn to build an intelligent, multi-agent refund management system that automates validation of customer requests, enforces business policies through semantic search, and provides consistent customer communication.
In this MCP project, you will learn to build a unified AI assistant that seamlessly integrates diverse development tools and services through the Model Context Protocol. This project demonstrates creating dynamic AI agents using FastMCP servers, LangGraph’s reasoning capabilities, and OpenAI models for intelligent, real-time interaction.
In this MLOps project, you will learn to build an automated, end-to-end MLOps pipeline to deploy a Gaussian Process Time Series forecasting model on AWS. Using Terraform for infrastructure provisioning, the solution implements CI/CD pipelines that support safe, reproducible staging and production environments.
In this LLM project, you will learn to build a user-friendly web application that leverages Large Language Models (LLMs) to convert natural language queries into optimized SQL commands.
In this LLM project, you will build a model to automate the transcription of video content and generate interactive quizzes using OpenAI’s Whisper and GPT-4o.
In this Agentic AI project , you will learn to build an intelligent financial assistant that autonomously analyzes your financial data, assesses risks, and designs personalized investment strategies, making wealth management more efficient and personalized to your needs
In this Azure project, you will learn how to create an azure data factory pipeline that ingests real-time water sensor data from multiple European countries. The automated system ensures that only the latest records are processed without manual intervention reducing computational costs while maximizing resource utilization.
In this Agentic AI project , you will learn to build an intelligent financial assistant that autonomously analyzes your financial data, assesses risks, and designs personalized investment strategies, making wealth management more efficient and personalized to your needs
Improve your Data Science Skills by working on diverse types of real-world hands-on data science projects. Join the ProjectPro community to discuss solution approaches, reuse code, and learn data science from industry experts.
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