This repository contains Real-World Case Studies Examples of Google Data Analytics Professional Certificate
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Updated
Jun 24, 2022 - R
This repository contains Real-World Case Studies Examples of Google Data Analytics Professional Certificate
An application to make learning as fun as gaming
An application to help students in learning by leveraging the power of LLM'S
Real world application of Manipulating Excel Sheet using python.
A social media bot integrated with ai
Predict if SpaceX Falcon 9 first stage will land successfully after rocket launches.
Food Scan AI revolutionizes nutrition management with its smart features: 📸 Scan food labels or cooked dishes for instant analysis, 🤖 AI-powered insights into nutritional content, 💬 Real-time AI chat with scanned food context, 🍽️ personalized dietary advice, and 📊 Daily intake tracking to monitor nutrients and calories effortlessly
Store your memorable persons details in a single place
Foundational Python skills for Working with a real-world data set and a real-world inspired scenario to identify patterns and trends
Master system design with my comprehensive collection of resources! Perfect for interview prep, improving your architecture skills, or exploring large-scale systems. Read my blogs on Medium for more insights!
A collection of GAN models for generating synthetic data
This repo contains real-world-problems solved in Node.js or TypeScript
A shared platform for information, help, discussion, and appointment bookings targeted for special needs people
The Waste Classification System is a project that focuses on accurately classifying waste into six different types: cardboard, paper, plastic, metal, glass, and biodegradable using YOLOv8 model. By analyzing waste images, the system provides users with the correct waste category, facilitating effective waste management and recycling efforts.
An app that lets the user create a test paper using AI
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
Data Structures like AVL, Graph, Stack, Queue, Implemented from Scratch
Using python to create an application to track nutritional data in a daily basis. Making the world a better place to live. Good using technology.
Showcasing impactful machine learning projects tackling real-world issues with Decision Trees, SVM, Time Series, Random Forest, Logistic Regression, and Gradient Boosting. Demonstrates advanced preprocessing, feature engineering, and optimization techniques.
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