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Name: Sai Tej Sunkara
Type: User
Company: Research
Location: Hyderabad, India
Name: Sai Tej Sunkara
Type: User
Company: Research
Location: Hyderabad, India
This was a machine learning project where we would predict whether the person is amazon employee or not.
A ionic app to mark attendance via facial recognition.
This would show the boosting and bagging techniques in machine intelligence where we have used Gradient Descent Optimizer and Random forests.
We have collected a huge data of chemical from chemical analyzing factory and has predicted whether the collected chemical is working or not.
This repo contains the solution to the crypto task given by Prof Ragesh Aggarwal of IITD in the course CON101.
This was an assignments given to us on data cleaning
This was a practice section for data science
We have used in-built libraries of Spyder and Jupyter Notebook for gathering the data and recognizing the human written hand digits using MNIST.
This was an assignment done by us to practice K-means clustering
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
This model works on Support Vector Machine to predict the letters written by user.
Here this project consists of problems that are solved using linear regression. Boston Problem, Computer Dataset Problem, Concrete Data Problem, Iris Problem, Video Games Global Sales, and found traces and relation between years of experience and salary...
K-Nearest Neighbors were used to classify the data of cars....
This was a data analysis project on NBA Records.
Here this model would predict whether the candidate would be selected for NBA or not by using Logistic Regression.
We have made a machine learning model which will predict the population growth of selected countries in different years. We have collected data from Internet.
In this sessions, we have implemented deep learning techniques using TensorFlow and Keras along with other packages like Pandas, Numpy etc. We have been testing the power of deep learning using our project as a platform
This was a practice for machine intelligence models where data of titanic survivals was taken from Kaggle and performed various operations on it. We have chosen an algorithm which would get higher efficiency.
We have collected a huge amount of data from Spotify and has used various classification machine intelligence techniques to classify them. At last we have used Decision Trees algorithm, which has given us better results.
We have collected a huge data on stocks from google finance and has applied machine intelligence to predict the stock price in future time. We have tried Regression algorithms on the data to get the better performance.
In this project user would give huge passage to machine and the machine could generate Summary of the passage using machine intelligence
This model is used to predict the sentiment using opinion analysis technique for data collected from Twitter.
We have collected the data of Uber from Internet and then made a detailed analysis of trends set by uber. This project consists of various graphs which declare the trends set by uber.
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.