This is a Machine Learning end-to-end project for predicting heart failures in human body.
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Updated
Jan 12, 2022 - Jupyter Notebook
This is a Machine Learning end-to-end project for predicting heart failures in human body.
This is a Time Series Analysis project where time series based data is used to extract patterns for predictions and other characteristics of the data. It uses a model for forecasting future values in a small time frame based on previous observations.
Supplementary materials for a research methods tutorial video.
Tableau software is becoming a powerful tool for data visualization then as all curious person who wants to build a great professional profile, I upgrade my ability with this software thank to the course offered by classrooms
A Python package to assist in the development of data driven scenes in Blender
Have Created visualization for the given data of activity assignment 4
In this project we will bill build models that can classify handwritten digits.
Online Payments Fraud Detection. The objective is to predict/detect the fraud transaction that happens through online payment transactions.
Machine Learning Algorithms and implementation on various datasets
A collection of TidyTuesday visualizations
🖥 Web application that visualizes real-time air quality metrics.
Dashboard that displays the Revit usage in real-time to improve efficiency
This project includes analysis to identify trends and give insights into factors which affect default rates on LendingClub loans between 2007 - 2011. Data visualisations were created as well as a predictive model to help identify who LendingClub should lend to in the future. Data cleaning, analysis and modelling were carried out in Python.
Project on data visualization performed on IMDB data set.
Analysis of my own football games using data and data visualisations from Power BI. Review performance, player form and stats for all players.
Thermal Sensor Data Processing for Estimation of Breath Rate
Review sentiment based on drug user reviews text/ dataset, using a supervised binary text classifier, which will classify user reviews as positive or negative
This repository presents a comprehensive collection of data, queries, and visualizations focusing on the COVID-19 pandemic. It's designed to provide a multi-faceted view of the pandemic's impact globally, encompassing various aspects such as infection rates, mortality, testing, and vaccination efforts.
This code takes the DataFrame from the user (it can be in the form of csv file or user can input the data by itself or can take a random data). Using the given data it plots graph (line, scatter, box, histogram, surface, bubble and bar).
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