Uber Data Analysis to Predict Cab Fare | Python For Uber Data Analysis | Great Learning




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🔥 Get the course material and session PDF Here: https://bit.ly/GetPDF_DataAnalysis_Uber 🔥

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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Comment List

  • Great Learning
    December 22, 2020

    To access the slide deck being used in this session, click here
    https://bit.ly/GetPDF_DataAnalysis_Uber

  • Great Learning
    December 22, 2020

    If you could provide the link to the datasets?

  • Great Learning
    December 22, 2020

    How can we concatenate two different sized datasets. Isn't effect the data?

  • Great Learning
    December 22, 2020

    i dint see that you are converting any categorical data …how did u treat categorical data

  • Great Learning
    December 22, 2020

    CAN WE USE THIS CODE ON DIFFERENT DATASETS OR WITH DIFFERENT CSV AND EXCEL FILES

  • Great Learning
    December 22, 2020

    Nicely explained, pls update me next session.Appriceat if u can show more features of Google Colab as now switching from jupyter to it.Thnx

  • Great Learning
    December 22, 2020

    Shouldn't we be concatenating the 2 datasets according to some similar column like date? Simply concatenating the 2 datasets with different row counts would generate inaccurate set. Or does the weather dataset keep on repeating until it aligns with the total no. of rows from cab data? I'm confused :/

  • Great Learning
    December 22, 2020

    Nice insights… I need to learn python ma

  • Great Learning
    December 22, 2020

    You should consider xtrain and ytrain

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