Uber Data Analysis to Predict Cab Fare | Python For Uber Data Analysis | Great Learning
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Great Learning brings you this live session on ' UBER data analysis using data science'. In this session, you will be working on an end-to-end case study to understand the different stages in the Data Science life cycle. This will deal with 'data manipulation' with pandas, Numpy, and 'data visualization' with Matplotlib and Seaborn libraries with the UBER dataset. After Data manipulation and Data visualization, an ML model will be built on the UBER dataset to get predictions for the price. You will also learn about the basics of the sci-kit-learn library to implement the machine learning algorithm.
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