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This project revolves around in-depth analysis and visualization of Spotify data. The project encompasses various data preprocessing tasks to clean and prepare the dataset for meaningful insights. Utilizing visualization tools such as Matplotlib and Seaborn, the project presents compelling visual representations of Spotify's music data trends
Aerofit is a leading brand in the field of fitness equipment. Aerofit provides a product range including machines such as treadmills, exercise bikes, gym equipment, and fitness accessories to cater to the needs of all categories of people.
Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t
This analytics challenge is to mine a dataset that provides text of nearly one million pieces of news articles and social media posts and comments with keywords related to climate risk and sustainability. The theme is Sustainable and Green Finance in Hong Kong.
This project is to build a model that *predicts the human activities* such as __Walking, Walking_Upstairs, Walking_Downstairs, Sitting, Standing__ and __Laying__ as done in Smart-Watches.
Using this ML file can anyone develop any machine learning alogitham in regression. almost 99.99 percent all regression models has been used. We need to pick the best machine learning algoritham using this file. Cheers Manju.
Image Quality Indices implementation. This is my thesis project to opt for a Master in Applied Statistics and it was published in a scientific journal.