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Amazon-Fine-Food-Review
Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food reviewFacebook-Friend-Recommendation-using-Graph-Mining
In this challenge we have given a directed social graph, and we have to predict missing links to recommend users (Link Prediction in graph)Quora-Question-Pair-Similarity-Problem-
Identify which questions asked on Quora are duplicates of questions that have already been asked.This could be useful to instantly provide answers to questions that have already been answered,predict whether a pair of questions are duplicates or notSpam-filtering
Spam Filter is a machine learning model that is used to detect unsolicited and unwanted messages and avert those messages from getting to a usersβs inboxFind-Stuff
An e-commerce Website for students of KNITshopping--cart
weather-report
access weather data of different citiesSGD-on-Boston-Dataset
comparison between manual implementation of linear regression and SGD regressor of sklearn on Boston home price datasettodolist
make TODON.L.P-Natural-language-Proceesing-
This is a tutorial for beginners in N.L.Ptodolist-with-firebase
In this project we are going to update and delete our todolist data with the help of firebase .competitive-programming
Solution of some good questions on Spoj.registration-form
OTP
generating OTP(One time password)check
segmenttree
hack36
a web project for local marketingBreast-Cancer-Prediction
Using the Breast Cancer Wisconsin (Diagnostic) Database, we can create a classifier that can help diagnose patients and predict the likelihood of a breast cancer.In this project we will use KNN,Naive Bayes and SVM and exploring which algorithm fits wellchat-room
Natural-Language-Processing
Natural language processing based projects like stackoverflow tag predictor, chatbot etcDeep-Learning-
Multi Level Perceptron, Convolutional Neural networks, Recurrent Neural Networks using Keras and TensorflowAmazon-Fashion-Discovery-Engine
collaborative filtering on amazon fashion datasetNew-York-Taxi-Demand-Prediction
In this project our task is to find number of pickups, given location coordinates(latitude and longitude) and time, in the query region and surrounding regions of New York CityLove Open Source and this site? Check out how you can help us