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Name: Harika Kasimahanthi
Type: User
Location: India
Name: Harika Kasimahanthi
Type: User
Location: India
Anaconda Server Client
Code for Youtube Tutorials (Youtube: Nikhil Rao)
The dataset that I made use of here, is "Boston" dataset. This dataset contains information collected by the U.S Census Service concerning housing in the area of Boston Mass. The dataset is small in size with only 506 cases. It has two prototasks: nox, in which the nitrous oxide level is to be predicted; and price, in which the median value of a home is to be predicted. In this problem, I tried to predict the rate of the house if it has some particular attributes.
Gena - A Free Certificate maker, developed as a term project.
The use of artificial neural networks to create chatbots is increasingly popular nowadays. However, teaching a computer to have natural conversations is very difficult and often requires large and complicated language models. Here, we created our own dataset with a small amount of data of our own college.
This is a list of resources curated from the Slack channel for Udacity's first phase of AI Track scholarship challenge
A system capable of predicting earthquake must predict about its exact location, specific magnitude range and precise time span of occurrence and probability of occurrence . Prediction has been made on the basis of mathematically calculated eight seismic indicators using the earthquake catalogue of the region.
A guided project in collaboration with coursera. We have used the Emotion FER dataset in this corsework/project.
All course files for the Flutter & Firebase tutorial playlist on The Net Ninja YouTube channel
This repository contains the content that I presented as a part of my session at GDG-Vizag
The data contains 11 attributes , 1000 records and we have to predict whether each person is classified as good or bad credit risks according to the set of attributes.
In this project, the main motive is to predict the threat of a heart-stroke in a person who qualifies some certain attributes like glucose level, smoking addiction and a couple more. Data science project of heart stroke prediction using machine learning algorithms of Naïve Bayes , Decision tree classifier. The dataset that has been used here, is taken from kaggle.
IMDb(Internet Movie Database) is the world's most popular and authoritative online database for movie, TV and celebrity content.The database had been expanded to include additional categories of filmmakers and other demographic material as well as trivia, biographies, and plot summaries. The movie ratings had been properly integrated with the list data, and a centralized email interface for querying the database had been created by Alan Jay. IMDb_5000 is a dataset with 5000 rows of movie information including features such as facebook likes of the cast, gross, budget, critic reviews and so on. In this challenge,the classification model is expected to predict if the movie is "hit/average/flop" based on selected attribues.
All Algorithms implemented in Java
Understanding Keras Recurrent Nets' structure and data flow (mainly LSTM) in a single diagram.
A peek into the tech and design at Lyst
This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions.
Hackathon starter project for Flask applications
MNIST is a database of handwritten digits. Dataset of 60,000 28x28 grayscale images of the 10 digits, along with a test set of 10,000 images.
Collection of Nimbella serverless apps used in demos.
Java Full Stack Program
An arcade like web application, that contains favorite games back in the 90's coded using python. The framework used is Flask for deployment of Html, CSS, JS files.
Sales forecasting is the process of estimating future sales. Accurate sales forecasts enable companies to make informed business decisions and predict short-term and long-term performance. Companies can base their forecasts on past sales data, industry-wide comparisons, and economic trends. The dataset that we used in this problem is "Advertising" dataset. It consists of five columns, out of which three columns namely TV, radio and newspaper are considered as input data and the last column i.e., sales is considered to be target values. In this problem, we made use of linear regression to predict the rate of sales.
A starter kit for new chapters of WiMLDS
The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we were asked to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy.
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.