/uber_analysis

Primary LanguageJupyter Notebook

uber_analysis

Uber data-set for bookings done in a month in one city [https://drive.google.com/file/d/1Kv-htgutdstCIrzNqaj3ZlJrJ5MjZlfP/view?usp=sharing]

  1. Download excel data from the link

  2. Identify trends from the dataset

  3. Visualization or algorithm to prune the data of incorrect tuples [if they are there]

  4. Analyze if the data set can be used for supervised or unsupervised learning

  5. Model to predict number of bookings on a particular day and location

Uber_Analysis_Model.ipynb -- uses the data for exploratory data analysis and visualization of the dataset to identify and derive insights. Random forest and Decision Tree Regressors used for training

Uber_Prediction.ipynb -- predicts number of bookings given a particular date, latitude and longitude