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Hitain kakkar's Projects

hk_covid19_data-analysis icon hk_covid19_data-analysis

This project helps us calculate and visualize the relationship between the spread of Corona virus in a country and how happy people are living in that country by merging two different datasets . The two datasets used includes First, Covid-19 dataset published by Jonh Hopkins university which cantains datasets related to cumulative number of confirmed cases countries per day and second, a dataset related to world happiness report, an annual publication by the United Nations.

hk_diabetes_predictor icon hk_diabetes_predictor

The is a Microsoft Azure Web App project that helps the user to identify whether someone is suffering from diabetes by simply inputting certain values like BMI, Glucose level, Blood pressure etc. with the help of kaggle database.

hk_memory_game icon hk_memory_game

This is a match game made using python's gaming module pygame. The program runs a memory game that allows you to turn over cards by clicking the mouse. Each grey box represents the image of an animal hidden by default. If there is a match, the two cards will disappear, leaving a blank white space and giving a message "MATCHED". If not, they will flip back over.

hk_us-aviation-industry-analysis icon hk_us-aviation-industry-analysis

This project helps us visualize report the insights and keys results of customer reviews about various domestic airlines information about variuos customer views and sentiments (positive, negative or neutral) avialable widely on social media platforms such as twitter. It uses an excel sheet in fromat of csv files which has a report of tweets from US metioned about the various airlines. It uses various libraries such as visualization library like pyplot to create data visualization, Streamlit’s open-source app framework to web apps and other libararies such as pandas to analyse and manupilate data. It has an interactive dashboard to with key results (negative, positive or neutral)to look for relavent data acc to reqiurement and select visualizations i.e bar plot, pie chart that appeal most to the user. Also the dashboard helps the user to locate from which part of country user tweeted from. It also has the option to see the word cloud of sentiments of people.

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