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Name: Utkarsh Saxena
Type: User
Company: DeepNets
Bio: Hey! this is Utkarsh Saxena, call me "Yug." Wondering who I am? Well, I am an ML Aspirant, learning ML for the last 3 years (self-taught).
Name: Utkarsh Saxena
Type: User
Company: DeepNets
Bio: Hey! this is Utkarsh Saxena, call me "Yug." Wondering who I am? Well, I am an ML Aspirant, learning ML for the last 3 years (self-taught).
This is the Kaggle notebook created on the 3D CT scans data set. This notebook contains 3D CT scans data processing and a 3D CNN model for classification.
Experience the future of facial recognition! Our AI project accurately predicts age and gender from uploaded images via a sleek GUI. Explore the Jupyter notebook and essential Python files in the comprehensive repository. Uncover the power of AI in just a click!
Welcome to the Age and Gender Detection Notebook repository! Explore powerful models for age prediction and gender classification, accompanied by insightful visualizations and learning curves.
Immerse yourself in Justice, a web app by Utkarsh Saxena. Unveil algorithmic insights with interactive features like video explanations and curated selections.
Welcome you to a thrilling web-based puzzle experience inspired by a classic book. Dive into the Baggles Arena, where user-friendly design meets mystery. Choose your challenge level, input guesses, and decode clues like "Pico," "Fermi," and "Bagels."
Explore memorable project quotes from "Big, Small Python Projects" book - bagels, paradox bitmap, and more! 🐍✨
Unravel the mysteries of the Birthday Paradox with our interactive web app! Ever wondered why shared birthdays are more common than expected? Dive into simulations, setting the number of people, total simulations, and step cases.
"🎮 Enjoy the thrilling game! Dive into blackjack, card decks & more. Experience interactive gameplay on a visually stunning platform. Responsive design ensures seamless fun! 🃏✨"
This repository contains the implementation for deep lab V3 model, trained on the breast ultrasound image segmentation data set.
Modern Twist to Ancient Encryption! 🛡️🔒 Encode Messages Effortlessly with Legendary Shift Cipher. Experience Cryptography, JavaScript-Style! 🌟🔍
Random forest regression model is available for car price prediction using Django framework
It's a thrilling 🕹 web game where players reveal 🎁 mystery boxes, tease their 📦 contents, and strategically 🤔 decide to swap or keep, aiming to claim the coveted 🥕 carrot for victory! It's a battle of wit, surprises, and nail-biting decisions in this ultimate test of strategy!
This repository consists of all the certificates I have achieved in my entire career.
🚀 Unleash the power of #MachineLearning with our Spam Classification notebook! 🤖✨ Achieve a stellar 97% accuracy using streamlined techniques. Dive into simplicity, master precision! 📊🔍 #DataScience #AI #TechInnovation
🚀✨ Explore the realm of pixel sorcery! 🌈 Just conjured a DCGAN on MNIST masterpiece - a symphony of pixels, a dance of creativity! Dive into the magic with mesmerizing GIFs and witness PyTorch artistry at its finest.
Explore decision trees: metrics, implementation in Python, visualization, pruning methods. Includes sample datasets. Ideal for learning decision tree basics.
Companion Code for the 1st Edition of "Exploring Arduino," the book by Jeremy Blum
📚 Explore a BERT-based model detecting fake news! Setup, data processing, visualizations, and model insights in one GitHub repository. 📊🤖
This project utilize ML to identify the gender of a speaker based on audio features. It combines feature extraction in R, using sound analysis libraries, with a Python GUI for user-friendly audio file upload and real-time gender prediction using a pre-trained XGBoost model.
"Hands on EDA" GitHub repo: Your ultimate guide to Exploratory Data Analysis (EDA) best practices, inspired by "Hands-On EDA with Python" book. Dive into curated code snippets and Jupyter notebooks for mastering EDA with Python. Perfect for all skill levels!
This notebook focuses on analyzing the hotel bookings and why the bookings are canceled. It also provides some other analysis about the data.
Interpretable machine learning refers to models and techniques designed to produce understandable and explainable results, allowing humans to comprehend and trust the decisions made by AI systems, crucial for applications where transparency and insight are paramount.
Explore market basket analysis with Python. Analyze customer purchasing behavior, generate frequent itemsets, mine association rules, and visualize insights.
Explored market segmentation and unsupervised learning with a focus on K-Means clustering in this Data Science notebook. Leveraged descriptive statistics and visualization for insights into an extensive dataset. Unveiled the power of K-Means in categorizing customers. Experimented with alternative methods like DBSCAN and Mean Shift.
Welcome to the "Notebooks on Opacity" repository! This repository houses two distinct yet interconnected notebooks, each offering valuable insights into different facets of data science.
This project involves implementing object detection and instance segmentation using PyTorch and TorchVision. It focuses on the Penn-Fudan dataset, utilizing Faster R-CNN and Mask R-CNN models to detect and segment pedestrians. The code includes data processing, model configuration, training, and evaluation.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.