disha2sinha

Calculator-Using-Javascript

My first Javascript project...A responsive website with facilities of both scientific and standard calculators.

CropYield-prediction

Predicting Crop Production(College Project)

Customer-Churn-Analysis

Implementation of Decision Tree Classifier and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of bank to identify the cause and conditions of the churn.

Data-Structures-and-Algorithms

CPP codes for some popular algorithms

Employee-Salary-Prediction

A project to Predict salary of employees using Linear Regression & display the results in GUI using Tkinter Module of Python

Movie-Recommendation-System

A recommendation model which finds popular movies according to votes and ratings given to each movie, recommends movies to the user according to the user's previous interactions using K-means Clustering and cosine similarity and also suggests movies to the user based on the likes of similar other users in the dataset using Pearson similarity index.

Object-Oriented-Programming-in-Java

This repository can act as a guide if you are trying to learn Java

Reducing-Imbalanced-dataset-by-Under-sampling-approach-Consensus-Clustering

Under-sampling based consensus clustering is applied on the three best clustering algorithms found after applying several Clustering Algorithms like K-means, K-modes, K-prototypes , K-means++ and fuzzy K-means on the majority class data of the IMBALANCED colon dataset to produce a BALANCED dataset.

Sentimental-Analysis-Movie-Reviews

This model performs feature-extraction on the given dataset on the basis of polarity, wordclouds and by removing non-essential words, next it builds a vectorizer which turns the list of words into an array of numbers and then it classifies the reviews into negative or positive based on the keywords of the review.

UndErNsembled

In this project, we reduced an imbalanced dataset to a balanced dataset using Under-sampling approach by applying Consensus Clustering using 'Simple Majority Voting' consensus function and further saw the increase in the accuracy of disease prediction by running multiple classifiers with bagging and boosting technique.

disha2sinha/Object-Oriented-Programming-in-Java

This repository can act as a guide if you are trying to learn Java

disha2sinha/Data-Structures-and-Algorithms

CPP codes for some popular algorithms

disha2sinha/Employee-Salary-Prediction

A project to Predict salary of employees using Linear Regression & display the results in GUI using Tkinter Module of Python

disha2sinha/Calculator-Using-Javascript

My first Javascript project...A responsive website with facilities of both scientific and standard calculators.

disha2sinha/CropYield-prediction

Predicting Crop Production(College Project)

disha2sinha/Customer-Churn-Analysis

Implementation of Decision Tree Classifier and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of bank to identify the cause and conditions of the churn.

disha2sinha/Movie-Recommendation-System

A recommendation model which finds popular movies according to votes and ratings given to each movie, recommends movies to the user according to the user's previous interactions using K-means Clustering and cosine similarity and also suggests movies to the user based on the likes of similar other users in the dataset using Pearson similarity index.

disha2sinha/Numerical-Methods

Codes for diffferent Numerical methods

disha2sinha/Reducing-Imbalanced-dataset-by-Under-sampling-approach-Consensus-Clustering

Under-sampling based consensus clustering is applied on the three best clustering algorithms found after applying several Clustering Algorithms like K-means, K-modes, K-prototypes , K-means++ and fuzzy K-means on the majority class data of the IMBALANCED colon dataset to produce a BALANCED dataset.

disha2sinha/Sentimental-Analysis-Movie-Reviews

This model performs feature-extraction on the given dataset on the basis of polarity, wordclouds and by removing non-essential words, next it builds a vectorizer which turns the list of words into an array of numbers and then it classifies the reviews into negative or positive based on the keywords of the review.

disha2sinha/UndErNsembled

In this project, we reduced an imbalanced dataset to a balanced dataset using Under-sampling approach by applying Consensus Clustering using 'Simple Majority Voting' consensus function and further saw the increase in the accuracy of disease prediction by running multiple classifiers with bagging and boosting technique.

disha2sinha/Algo_Ds_Notes

It is a repository that is a collection of algorithms and data structures with implementation in various languages.

disha2sinha/disha2sinha.github.io

My responsive Portfolio

disha2sinha/Machine-Learning-Algorithms-From-Scratch-

Some Basic Machine Learning Algorithms

disha2sinha/MACHINE-LEARNING-DRAIVEX

First contribution

disha2sinha/Machine-Learning-Journey-In-python

disha2sinha/Musical-Keyboard

A web application to play music using letters from the keyboard of your PC. Enter letters of your choice and ENJOY;)

disha2sinha/Python-scripts-collection

This is a collection of short Python scripts to solve and automate tasks and simplify any work.

disha2sinha/Resizable-Pagination-in-MERN

Uploaded the Netflix_titles.csv dataset in MongoDB and fetched the data from the server-side to the client side. The dataset has 7767 rows which is huge for a single page. So implemented the concept of resizable pagination in react. The rows can also be selected and deselected using checkbox.

disha2sinha/SIP-Calculator

A react.js webapp to calculate SIP returns

disha2sinha/Tic-Tac-Toe

A computer game to play tic-tac-toe with your fellow colleague/friend any time.