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Project - Forecast Bike Rentals

Project - Forecast Bike Rentals

0% completed
9 Concepts | 14 Questions | 15 Assessments | 1,881 Learners

Welcome to this project on the Forecasting Bike Rentals with DecisionTreeRegressor, LinearRegression, RandomForestRegressor using scikit-learn. In this project, you will use Python and scikit-learn to build models using the above-mentioned algorithms, and apply them to forecast the bike rentals.

Forecasting is a regression problem, which is a highly demanded skill in the real world. This exercise enables you to understand the basic workflow to solve a regression problem, which includes data preprocessing and data modeling steps. You will understand how Pandas and scikit-learn, in association with Python, could be used to solve a machine learning problem end-to-end project. In addition, the intermittent MCQs would help you concretize your understanding.

Skills you will develop:

  1. Pandas
  2. Regression
  3. Machine Learning
  4. Python Programming
  5. Data Preprocessing
  6. scikit-learn
  7. Matplotlib

Instructor:

Founder, CloudxLab.com