KhyatiMahendru

Applications-Linear-Algebra

Linear Algebra is very close to my heart. In this project, I explored various applications of Linear Algebra in Data Science to encourage more people to develop an interest in this subject.

articlesPublished

A collection of all the articles written by me

Balancing-data-SMOTE

In this project, I have worked on the problem of Credit Card Fraud Detection. The data is highly imbalanced with the positive class (fraud) accounting merely for 0.172% of the data. In classification problem balancing your data is extremely important. Here I have described how accuracy should not be the only criteria to judge model performance.

Dimensionality-Reduction

This is an implementation of 3 dimensionality reduction techniques - PCA, SVD, and tSNE for visualization of high dimensional data in 2D and 3D.

EigenfacesWithSVD

Facial Recognition on 'Labelled Faces in the Wild Dataset' using the concept of Eigenfaces. I have used Singular Value Decomposition to obtain the eigenfaces used.

HappinessIndexAnalysis

Project for Econometrics (5th semester)

RWHOptimiser

RWH optimisation using advanced OR techniques. Project built during national finals of Smart India Hackathon 2019. Team Six Nearest Neighbors. For AM2, Goldman Sachs.

KhyatiMahendru/EigenfacesWithSVD

Facial Recognition on 'Labelled Faces in the Wild Dataset' using the concept of Eigenfaces. I have used Singular Value Decomposition to obtain the eigenfaces used.

KhyatiMahendru/Dimensionality-Reduction

This is an implementation of 3 dimensionality reduction techniques - PCA, SVD, and tSNE for visualization of high dimensional data in 2D and 3D.

KhyatiMahendru/HappinessIndexAnalysis

Project for Econometrics (5th semester)

KhyatiMahendru/LossFunctions

KhyatiMahendru/MusicGenreClassification

Project for Pattern Recognition in 6th semester

KhyatiMahendru/StockPricePrediction

Project for Artificial Intelligence in 6th semester

KhyatiMahendru/Applications-Linear-Algebra

Linear Algebra is very close to my heart. In this project, I explored various applications of Linear Algebra in Data Science to encourage more people to develop an interest in this subject.

KhyatiMahendru/articlesPublished

A collection of all the articles written by me

KhyatiMahendru/FireStation-Database_Management_System_Project

KhyatiMahendru/get_Art_Galleries_Places_API

This script was developed by me for my Data Analytics Internship at CSIR-CDRI from December 2017 to July 2018.

KhyatiMahendru/object-localization

Object localization in images using simple CNNs and Keras

KhyatiMahendru/PCA-on-MNIST

This notebook was developed for my internship at Analytics Vidhya as a part of the study material for their course on Applied Machine Learning in the Advanced Dimensionality Reduction module.

KhyatiMahendru/RWHOptimiser

RWH optimisation using advanced OR techniques. Project built during national finals of Smart India Hackathon 2019. Team Six Nearest Neighbors. For AM2, Goldman Sachs.

KhyatiMahendru/Balancing-data-SMOTE

In this project, I have worked on the problem of Credit Card Fraud Detection. The data is highly imbalanced with the positive class (fraud) accounting merely for 0.172% of the data. In classification problem balancing your data is extremely important. Here I have described how accuracy should not be the only criteria to judge model performance.

KhyatiMahendru/economics-project

This report was developed as project for course HU-202 Economics in our fourth semester.

KhyatiMahendru/ExperimentWithLibrosa

KhyatiMahendru/graduation

$ git remote <graduation> yearbook

KhyatiMahendru/Learning-Image-Segmentation

An image is a collection or set of different pixels. We group together the pixels that have similar attributes using image segmentation.

KhyatiMahendru/NamedEntityRecognition

NER using LSTMs with Keras, guided project on Coursera

KhyatiMahendru/ObjectDetection

KhyatiMahendru/Trade-Surveillance-Backend

KhyatiMahendru/UnityforXR