Building and analyzing linear regression model in R

4.6
21件の評価
提供:
Coursera Project Network
このガイド付きプロジェクトでは、次のことを行います。

Learn how to load and clean a real world dataset in R.

Learn how to build a linear regression model and various plots to analyze the model’s performance.

Learn how to predict future values using the model and calculate model error metrics.

Clock1.5 hours
Beginner初級
Cloudダウンロード不要
Video分割画面ビデオ
Comment Dots英語
Laptopデスクトップのみ

By the end of this project, you will learn how to build and analyse linear regression model in R, a free, open-source program that you can download. You will learn how to load and clean a real world dataset. Next, you will learn how to build a linear regression model and various plots to analyze the model’s performance. Lastly, you will learn how to predict future values using the model. By the end of this project, you will become confident in building a linear regression model on real world dataset and the know-how of assessing the model’s performance using R programming language. Linear regression models are useful in identifying critical relationships between predictors (or factors) and output variable. These relationships can impact a business in the future and can help business owners to make decisions. Note: 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.

あなたが開発するスキル

Linear RegressionMachine LearningR ProgrammingRstudio

ステップバイステップで学習します

ワークエリアを使用した分割画面で再生するビデオでは、講師がこれらの手順を説明します。

  1. Load a real world dataset and summarize it in R

  2. Clean your dataset

  3. Split your dataset into training and test set

  4. Build linear regression model and interpret model summary statistics

  5. Plot and analyze model residuals

  6. Predict future values and calculate model error metrics

ガイド付きプロジェクトの仕組み

ワークスペースは、ブラウザに完全にロードされたクラウドデスクトップですので、ダウンロードは不要です

分割画面のビデオで、講師が手順ごとにガイドします

よくある質問

よくある質問

さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。