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abhikumar22

abhikumar22.github.io

algorithms-and-data_structures

Ds & Algorithm implemented in c language along with its space and time complexity

amazon-fine-food-reviews-analysis

Applied classification techniques on amazon food reviews dataset available in kaggle. Firstly analyzed the data, cleaned it by performing preprocessing techniques and then applied algorithms like KNN, Naïve Bayes, Logistic Regression, SVM, Random Forest, GBDT, Stochastic gradient descent Regressor, K-Means to classify whether the review is positive or negative so that in future without knowing the actual class the reviews can be classified into one of the classes.

autocomplete-task

blog

here i will post some of the stuff related to technologies

blog-platform

blogg

challenge-frontend-solution

Manage Rules Editor is a Rules Editor UI which allows Credit officer to manage(add, edit, delete) rules in the system. During order placement, these rules will be executed by the backend service against the order details to decide if this order should be reviewed

chat-app-react

Live chat application built in reactjs

chat_app_backend_django

backend service depolyed in heroku for managing user chat messages and api's

corona-live-data

ReactJs app which tracks the live corona virus status over the world. It shows the overall cases over the world as well as in table view countrywise.

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid19app

Corona Dashboard using Angular

dashboard-boiler-plate

dashboard-task

data-visualization

Here using various data visualisation techniques likes TSNE and PCA we will try to visualise various kinds of dataset which is one of the most important part of building a machine learning model

datingapp

efficient-problem-solutions

This repository contains problem solutions of various problems which is implemented using Data-Structures and Algorithms, which is optimized in time as well as space as per the problem statement

exploratary-data-analysis-on-habermans_cancer-survival-dataset

Here, we are doing to perform exploratory data analysis on haberman survival dataset by applying various techniques like univariate analysis, bivariate analysis etc

exploratory-data-analysis-on-iris-dataset

EDA on IRIS dataset, to classify whether a given flower belong to which type. Here the features of flower is taken into consideration after that bivariate, univariate analysis is done on the dataset to find from which feature we are able to classify the type of class.

feedbackanalysis

django app for analysing the feedback whether it is positive or negative. It is trained using Logistic regression ML algorithm

file-explorer

flutter_time_picker_spinner

A Flutter widget to set time with spinner instead of material time picker

formsubmit

frontend-interview-handbook

All things frontend

frontend-interview-preps

Everything required to crack frontend interview

important-data-science-funtions

Basic important Data Science custom functions which will be useful while building a ML model

insurance-advisor1

interview-prep