auphees-pandiri Goto Github PK

android-mini-projects

This repository consists of all the projects that I have completed in order to learn android development.

aspect-based-sentiment-analysis-using-ml-and-dl

The project is to analyze the sentiment of the reviews using aspect based opinion mining .The goal is to find the sentiment of the reviews based on aspects. Aspects are the features.So here, based on the aspects sentiment of the reviews is calculated

cabriolet-online-cab-booking

Web application for online cab booking designed using MVC FrameWork, JDBC, Servlets, JSP, HTML,Bootstrap & CSS.

cabsonline

A full stack application for booking cabs developed using PHP and SQL database

cabsonline-1

Online taxi cab booking application

classification-of-dogs-and-cats-using-cnn

Convolutional neural networks are similar to Artificial neural networks.Images are the input for the cnn. In convolution neural networks there are 4 layers. They are i)Convolution ii)Pooling iii)Flattening iv)Fully connected layer.In this project I have classified the dogs and cats images using CNN. I have created all the layers using keras and then trained the model on the data and then I find the accuracy of the model. I have almost got 85% accuracy.

classification-using-kernel-svm

In this project I have created a svm classification model in python and R. SVM stands for support vector mchine.In the training process we will use the radial basis function.After traing is done,the testing will be performed to find the accuracy of the model.

classification-using-logistic-regression

In this project I have created a logistic regression classification model using python and R.A logistic regression model is used when the dependent variable is a categorical variable.The data is splitted into training and testing data.After fitting the model on the training data I have predicted the values on test data.Finally the accuracy is calculted by using confusion matrix.

dragndrop

k-means-clustering

Clustering is an unsupervised task. In unsupervised learning the model is prepared on the unlabelled data.In this project I have created the k-means clustering model which is prepared on the unlabelled data.I have used both python and R languages to create the k-means clustering.

multiple-linear-regression

In this project I have created a multiple linear regression model for the data.Multiple linear regression is similar to linear regression model.In linear regression there is only one independent variable but in multiple linear regresssion there are more than one independent variable.But the dependent variables is always one. It can be represented as y=b0+b1*x1+b2*x2+......+bn*xn

my-gadget

myreads-a-book-tracking-app

1st project of Udacity React Nanodegree

node-course-v3-code

Code for version 3 of The Complete Node.js Developer Course

riktam-blog

riktam-sample-website-using-node-js

sentiment-analysis-on-restaurant-reviews-using-naive-bayes

Now a days many customers are showing more interest in reading the reviews of restaurant. But there are thousands of reviews.So reading these many reviews within a short span of time is impossible. So I have developed a classification model which will classify the reviews as positive or negative using nltk library.

simple-linear-regression

In this project I have created a simple linear regression model for the given data.In the data there are 2 variables.They are one independent variable 'experience' and a dependent variable 'salary' .The testing data of salary is predicted by creating linear regression model.

simple-website

text-classification-on-movie-reviews-using-logistic-regression

In these days all are showing interest to read the online reviews. These reviews could be movie reviews, product reviews, restaurant reviews etc. But there will be bulk of reviews in online. Reading those much of bulk of reviews is not possible within short span of time.So I created a M/L model which can classify those reviews as positive or negative.

text-summarization

I have prepared a model which can summarize the text.Many persons actually prepare a summary notes in conferences.So instead of that we can use this model.If the whole text is given as input then it displays the summarized text(more important text).

ts-api-react-app-front

twitter-sentiment-analysis

In these days twitter is being used largely.Everyday there are a lot of trends creating on the twitter.So in order to know whether they are positive or negative I developed this project.I extracted the data from twitter using tweepy and then I applied sentiment analysis on this data to find whether the tweet is positive or negative. In this way I analyzed the tweets..

weather-monitoring-system

A weather station is a facility equipped with high tech instruments for predicting future weather phenomenon. This is also used to study the climate of that area. The measurements taken from the station include temperature, humidity and air quality. The accuracy predicted by these weather stations is not too high to predict the actual weather condition for a particular area. The error difference may be around 10% which makes a huge difference. Plus, in every city there are 23 weather stations only for predicting weather of an area as wide as 426km sq. The weather stations give the prediction for the whole city and not just a particular area. Each area might have different climate since the weather depends on location. To know the weather conditions of our surroundings I developed this weather monitoring system.

weather-website-using-node-js

z-cab-ui

Front end design of a cab booking application built during my tenure as a consultant trainee at Zilker Technology LLC.