Uber Data Analysis to Predict Cab Fare | Python For Uber Data Analysis | Great Learning
🔥 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.
Visit Great Learning Academy, to get access to 80+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity, and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. https://glacad.me/3duVMLE
Get the free Great Learning App for a seamless experience, enroll for free courses, and watch them offline by downloading them. https://glacad.me/3cSKlNl
About Great Learning:
– Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more.
– For more interesting tutorials, don’t forget to subscribe to our channel: https://bit.ly/2s92TDX
– Learn More at https://www.greatlearning.in/
For more updates on courses and tips follow us on:
– Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube
#UberDataAnalysis #PythonForDataAnalysis #GreatLearning