artificial-neural-network-on-banking-dataset

This mini project uses a pre given dataset of a bank (10,000 rows) having various independent and the dependent variable of binary type( whether the customer leaves the bank or not). ANN has been used and an accuracy of 84.2% has been achieved.

autoencoders-movie-recommender-system

As per the Deep learning course A-Z , a movie recommender system was created for the MovieLens dataset.

boltzmann-machine-movie-recommender

Using Restricted Boltzmann machines , a movie recommender system was created

c-programs

cloud_notebook

This application caters to building a full stack application depicting the features of snippets of notes saved to the cloud.

cloud_notebook_backend

This project contains the backend work of the cloud_notebook

cnn

Convolutional Neural Network program helps in classifying the data consisting of 10,000 images of Cats and dogs.

credit-card-fraud-detection-using-self-organizing-maps

This project illustrates the use of unsupervised ML technique called Self Organizing Maps to detect frauds committed in getting a credit card issued. The dataset has been downloaded from UCI machine learning repository.

django-blog-clone-project

emotion-analysis-of-tweets-from-top-3-colleges-of-the-world.

The project caters to finding the 5 sentiment scores (Happiness,Fear,Anger, Disgust,Sadness) of each tweet using a described formula.

facedetect

first_application

hate-speech-analysis

This research deals with analyzing the hate speech with a novel method of combining LDA with SOM. Experimentally no of topics derived from the dataset after the application of LDA was 10. Dominant topic was calculated for each data value. This data was fed to a SOM network initially assigned with random weights. The learning rate for SOM was 0.5 and number of iterations were 100. The clusters were formed as a result and the map was displayed.

hate-speech-scanning-using-k-means-clustering-and-lda

icebreaker-event

image_augmentation

This repository contains the jupyter notebook catering to demonstrating the image augmentation techniques using pytorch.

junction

Junction is a software to manage proposals, reviews, schedule, feedback during conference.

lidar_super_resolution

Simulation-based Lidar Super-resolution for Ground Vehicles

lstm

The following code depicts text generation using LSTM. The dataset used is Shakespeare's Macbeth. 50 characters are taken and 51st character is predicted using this model. 1 epoch cycle with 0.1 million entries fed to train the network.

meteor-project

project-on-cancer-detection-

The project is based on using supervised machine learning techniques (KNN,SVM and xgboost) on wisconsin dataset of breast cancer, the accuracy and other metrics of the techniques are pit against each other.

project-on-hr-analytics

This project makes use of various ensemble learning techniques for example bagging, boosting ,gradient boosting machine and extreme gradient boosting machine on an HR dataset attached herewith. The measures of performance for each technique is calculated.

python

All Algorithms implemented in Python

python-for-finance

python-stock-market-analysis

The project analyzes the stocks of three major car companies , compares them , plots graphs and calculates returns & cumulative returns on them.

python_programes

The repository contains some of the Python Programs

react-website-v1

reactjs_tips_tricks

This repository caters to discussing about various tips and tricks which could be applied on any react project. Discussions revolve around essential react concepts and their practical applications

sentiment-analysis-

The project 'Sentiment Analysis of top colleges in India using Twitter Data', extracts tweets from the twitter , preprocesses them , assigns sentiment scores and then using different ML techniques , their accuracies are compared.

stock-trends-prediction-using-rnn

RNN is used here to predict the trends using historical stock data obtained through yahoo finance