This is a project for RajasthanHackathon 4.0
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Updated
Mar 20, 2018 - Java
This is a project for RajasthanHackathon 4.0
Medical Data Analyzer project for FreeCodeCamp Data Analyst with Python course.
Hotellings T^2 Statistics Q sample problem
Cluster analysis using distance measure in R
Google Play Store ( 2010 To 2018 ) Data Analysis & Visualization Using Jupyter Notebook
Auto ARIMA Model
An ensemble of 3 models - AdaBoost, XgBoost and Random Forests to classify machine failures.
Greetings! This repository showcases the continuous assessment for CCT College Dublin's "Machine Learning for Business" course, specifically focusing on the application of machine learning models to time series data. In this project, we applied a total of 8 time series models to gain comprehensive insights into the dataset.
These are my projects about the freecodecamp course "Data Analysis with Python"
The dataset that we will be wrangling (and analysing and visualising) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog.
Statistics, Data science diff. concept Visualization thro' programming and libraries.
This contains analysis of the UK housing dataset from the year 1999 to 2019.
"Superstore Power BI Dashboard" project is dedicated to unraveling the secrets hidden within the Superstore's data treasure trove, offering insights that will guide the organization towards targeted growth, enhanced profitability, and superior decision-making.
Analysis the raw data to capture through a survey for the most frequent food items consumed during covid
Designing a new marketing strategy to convert casual riders into annual members for marketing team at Cyclistic.
The project aims to provide a comprehensive understanding of the dataset related to heart disease and build predictive models to classify whether a patient is likely to have heart disease based on various attributes.
Utilizing Qlik's analytical powers, the project's goal is to find patterns, trends, and correlations in the airline operations data to help airlines, airports, and other relevant stakeholders make decisions.
Health Center is an AI-driven platform where users input their symptoms to receive personalized medical advice, including diet plans, medicine recommendations, things to avoid, and exercise tips. Built with Python, Flask, and machine learning.
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