Predict Sales Revenue with scikit-learn
5.893 já se inscreveram
5.893 já se inscreveram
In this 2-hour long project-based course, you will build and evaluate a simple linear regression model using Python. You will employ the scikit-learn module for calculating the linear regression, while using pandas for data management, and seaborn for plotting. You will be working with the very popular Advertising data set to predict sales revenue based on advertising spending through mediums such as TV, radio, and newspaper. By the end of this course, you will be able to: - Explain the core ideas of linear regression to technical and non-technical audiences - Build a simple linear regression model in Python with scikit-learn - Employ Exploratory Data Analysis (EDA) to small data sets with seaborn and pandas - Evaluate a simple linear regression model using appropriate metrics This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Jupyter and Python 3.7 with all the necessary libraries pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Data Visualization (DataViz)
Exploratory Data Analysis
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Em um vídeo de tela dividida, seu instrutor te orientará passo a passo
por AK2 de jul de 2020
If YOU are very beginner in ML. You can take this course. Otherwise check for another
por RM13 de abr de 2020
Very easy to understand and perform at the same time on #rhyme platform.
por GR7 de jul de 2020
After I did this guided project, I was able to build simple regression models by applying the skills I learnt.
por SS14 de mai de 2020
Simple and easy to guided project. Explain the theory and behind the scene concepts very well!