vishnubharadwaj00 Goto Github PK
Name: Vishnu Bharadwaj
Type: User
Bio: Budding Data Scientist, passionate about all things AI, Deep Learning and Statistics. Most likely to be found debugging code or cleaning datasets.
Name: Vishnu Bharadwaj
Type: User
Bio: Budding Data Scientist, passionate about all things AI, Deep Learning and Statistics. Most likely to be found debugging code or cleaning datasets.
Bayes wanted to know whether he could predict the movie ratings so his methodologies were introduced in this project.
A repository of the all the coding I've done to learn (and brush up on) the fundamental skills of Algorithms and Data Structures.
fast.ai's courses and software make it extremely easy to start working on difficult projects very quickly. This is just another example of that. This is a Bird Sound Classifying Deep Learning model, which takes in bird sounds, converts them into images (spectograms), and then classifies those images based on what type of bird call it is. The data is from: https://datadryad.org/resource/doi:10.5061/dryad.4g8b7/1 There are 6 types of bird calls: distance,hat,kackle,song,stack,tet. This model gets around 80% accuracy, which is not bad at all for something that relies on so many different factors.
EDA using R on BRFSS 2013 Survey Data
The 3rd edition of course.fast.ai
An End-to-End project for Prediction of Data Scientist's Salaries during COVID-19 (in the US)
Notebooks for learning deep learning
Starter app for fastai v3 model deployment on Render
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Just a repo for me to keep the code walkthroughs of the lab exercises in ISLR. These also contain my own comments.
Using a simple image classifier to check what brand a laptop is.
Statistical Inference used to analyze disparities in Literacy Rates in the GSS Dataset
Using only Lesson 1 of fast.ai's course, this model gets 98.5% accuracy in the Kaggle playground competition for Digit Recognition.
Code implementation of the MNIST Handwritten Digit Recognizer, as taught in "Make your own Neural Network" by Tariq Rashid
Using Chest-X Ray images, we can use Deep Learning models to detect Pneumonia.
A Multi-Class Classifier of Satellite Images, deployed using Heroku and Streamlit.
Web Scraping Financial Data from Yahoo Finance, and using RNNs to build a model to predict it.
The Billion Dollar Question: How do you make a good movie?
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.