Ayushi Das's Projects
I practice blog writing in this repository
This is a custom dashboard designed to analyze the sales report and identify certain important key aspects like : 1. Revenue Trend, 2. Profit Margin, 3.Important Customers. This simple beginner friendly dashboard has been built both on PowerBI and Tableau (two of the most popular BI tools for Data Analytics) along with MySQL.
This project was made to solve a real world problem. For content creators, those who post content on regular basis on platforms like Instagram/LinkedIn have to first spare some time to edit the posts. With the help of this project, such a person will only have to edit few templates for once and that's it. Then just with a click of a button one can download attractive and already edited posts and can easily post them.
Google Data Analytics Certification-Capstone Project on a dataset of Bike-sharing company to determine how does a bike-share navigate speedy success.
In this repository I will be documenting my entire journey of whatever I did during my learning phase in css. This is purely written by me for any future references and also to keep a track of important steps.
In this repository I will be decumenting my entire journey of whatever I did during my learning phase in Flask. This is purely written by me for any future references and also to keep a track of important steps.
In this repository I will be documenting my entire journey of whatever I did during my learning phase in html. This is purely written by me for any future references and also to keep a track of important steps.
In this repository I will be documenting my entire journey of whatever I did during my learning phase in JavaScript. This is purely written by me for any future references and also to keep a track of important steps
This repo contains all my leetcode solved problems
Predict 42 common diseases based on any 5 prominent symptoms among the 132 common symptoms given in the dataset. Get to know if you are affected with Malaria using your red blood cell image, among two classes: Infected and Uninfected. Classify the brain MRI reports into 4 classes: Glioma, Meningioma, Pituitary and No-Tumour. Later Segment the brain tumours. Classify the lungs X-Ray reports into 3 classes: Covid-19, Pneumonia and Normal.
Time series model to display the sale of a product and predict the future sale with respect to that product. Applying ARIMA Algorithm and SARIMAX Algorithm to the data.
Predictive model using Machine Learning. Performed Data Cleaning, Data visualization, Geographical analysis, WordCloud and Feature encoding. Algorithms like Random Forest, Decision Tree, NaΓ―ve Bayes, KNN, Logistic Regression used for the implementation of ensemble learning.