Pinned Repositories
Aadhaar-Based-Paperless-Electoral-System
We are proposing a solution to overcome the drawbacks of the existing traditional electoral system. In this proposed system, we are assuming a dummy Aadhaar like database for verification and authentication of voters. This solution offers an end-to-end paperless electoral system, ensuring high security in the process and eliminating the risk of non-legitimate votes plus providing an economical to the conducting party.
amazon-clone
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
CS580-Intro-to-Artificial-Intelligence
Contains notebook implementations for the AI based assignments using graph based algorithms that are commonly used in solving AI based problems. Algorithms include BFS, DFS, Hill Climbing, Differential Evolution, Genetic, Back Tracking..
Flower-classification
In this competition, we’re challenged to build a machine learning model that identifies the type of flowers in a dataset of images (for simplicity, we’re sticking to just over 100 types).
Intro_Tensorflow
Implementation from Udacity's Intro to TensorFlow for Deep Learning course. https://classroom.udacity.com/courses/ud187.
kolibri
Kolibri: the offline app for universal education
marchmadness
Kaggle's NCAA® ML Competition March Madness Competition presents a challenge to forecast the outcomes of all possible matchups in the Men’s and Women's Basketball Championships.
pyspark-twitter-sentimental-analysis
To Analyze how travelers expressed their feelings on Twitter using pyspark MLlib .Given tweets about six US airlines, the task is to predict whether a tweet contains positive, negative, or neutral sentiment about the airline. This is a typical supervised learning task where given a text string, I have to categorize the text string into predefined categories.
WSPT-quiz-webApp
This repo demonstrate a full-stack quiz app, with the student and the Admin view.
apurva-modi's Repositories
apurva-modi/cs851-s15
apurva-modi/javascript-for-cats
an introduction to the javascript programming language. intended audience: cats