The aim of the project is to analyze the Tesla stock price dataset by conducting thorough Exploratory Data Analysis and developing forecasting models to predict future stock trends.
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Updated
Dec 15, 2024 - Jupyter Notebook
The aim of the project is to analyze the Tesla stock price dataset by conducting thorough Exploratory Data Analysis and developing forecasting models to predict future stock trends.
Data Analysis and Visualization Of LifeExpectancy based on WHO data. Summarized the data for developed and developing countries. I used histograms and scatter plot to get clear visualization of factors like income, schooling, immunizations. Built a model using linear regression and performed residual diagnostics to check for correctness of the r…
Model the demand for shared bikes with the available independent variables in order to understand the demand dynamics of a new market.
To aid with the prototyping of AI and machine learning models to augment process operations at the Western Sugar Scotts Bluff manufacturing facility and to further investigate several predictive models for fault detection, optimizing sensor placement, and minimizing plant disruption.
In this project, an analytical approach on the large dataset is applied for advance prediction of average household electricity consumption located in different regions of United Kingdom. Several machine learning models are implemented and compared for the prediction analysis. This project also involves an estimation of the expected emission of …
Sales prediction involves forecasting the amount of a product that customers will purchase, taking into account various factors such as advertising expenditure, target audience segmentation, and advertising platform selection.
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