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Name: anshuman patel
Type: User
Bio: A tech entusiast, naive
Location: banglore
Name: anshuman patel
Type: User
Bio: A tech entusiast, naive
Location: banglore
My attempt for #100DaysOfMLCode.
In this challenge I will try to create 10 applications
This will serve as my portfolio and resume website.
This is a python notebook that employs the data collected from boston housing projects and uses a machine learning model to predict the house prices based on certain parameters. This uses regression technique to come up with the prices of the houses, which is then compared with the prices quoted.
This is a kaggle competition based project. The goal was to find out whether the claims made by the insurer towards the Allstate insurance is upto the scale or not. Allstate ran this hiring competition in kaggle. Altought I was not an active participant in this, I took this just to check my entry against the top 5%, wich was completed.
This was a machine learning based project. This project demonstrates the clustering technique of machine learning. The goal was to cluster the given data of consumers to find out what behaviours they show as a cluster and which one are outliers.
This project harnesses the power of a Convolutional Neural Networks (CNN) to identify the dog breeds. The goal of this project was to build a pipeline that can be used within a web or mobile app to process real-world, user-supplied images. Given an image of a dog, your algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.
This repository contains my effort to go solve as much problem as I could on data structures and algorithms. In the beginning my goal is to bring this into habit. Phase one is to implement and get familiar with all famous data structures and algorithms. I intend to make this the longest streak in my working career. Phase two will contain to solve problems on famous competitive coding websites.
In this project, a generative adversarial network was deployed to generate new images of faces using some given images of celebrity, sounds cool !!!!! This was the last project of Deep Learning Foundation Nonodegree.
This project uses supervised learning to classify whether the given person is a potential donor or not. The goal was to implement a supervised classification technique on the given data.
In this project, you'll get to build a neural network from scratch to carry out a prediction problem on a real dataset! By building a neural network from the ground up, you'll have a much better understanding of gradient descent, backpropagation, and other concepts that are important to know before we move to higher level tools such as Tensorflow. You'll also get to see how to apply these networks to solve real prediction problems! (Will edit later)
A complete daily plan for studying to become a Google software engineer.
A CovNet based project using CIFAR-10 database of images to use CovNet to classify between the 10 types of labels by the given dataset
Keras community contributions
This is a deep learning based project. A document containing 140k sentence of english to french conversion was fed to train the data, and the goal was to make a language converter which converts any english text to french. This gave the most amazing results, considering the accuracy of the converted text.
A Python Client for News API
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.