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anaconda-client

Anaconda Server Client

aws-cognito-tutorials

Code for Youtube Tutorials (Youtube: Nikhil Rao)

boston_housing

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.

certificate-generator-using-django

Gena - A Free Certificate maker, developed as a term project.

chatbot-using-tensorflow

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.

deep-learning-resources

This is a list of resources curated from the Slack channel for Udacity's first phase of AI Track scholarship challenge

earthquake-prediction

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.

facial-expression-recognition-using-keras

A guided project in collaboration with coursera. We have used the Emotion FER dataset in this corsework/project.

flutter-firebase

All course files for the Flutter & Firebase tutorial playlist on The Net Ninja YouTube channel

forest-fire-prediction

gdg-vizag-2020

This repository contains the content that I presented as a part of my session at GDG-Vizag

german-credit-risk

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.

harika1101.github.io

heartstroke_prediction

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

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.

iris

java

All Algorithms implemented in Java

keras_lstm_diagram

Understanding Keras Recurrent Nets' structure and data flow (mainly LSTM) in a single diagram.

makinglyst

A peek into the tech and design at Lyst

ml-react-app-template

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.

mlh-hackathon-flask-starter

Hackathon starter project for Flask applications

mlh-localhost-google

mnist

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.

my-command-sets

Collection of Nimbella serverless apps used in demos.

playground

Java Full Stack Program

python-

retro-fun-house

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_prediction

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.

starter-kit

A starter kit for new chapters of WiMLDS

titanic-survival-prediction

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.