Project I: Student Score Prediction using Linear Regression based on the Hours Studied.
Learning Objectives:
With an interest to discover how MatPlotLib Library works in Python, I ended up gaining the following learning outcomes:
- Importing Libraries
- Importing Dataset into the notebook.
- Preparing the Data first by understanding its shape, head and description.
- Training the Algorithm
- Making Predictions from a test data set
- Evaluating the Algorithm to see whether the model performed with low error rate using Mean Absolute Error(MSE)
This mini project is my driving factor into deeply learning how most commonly used algorithms work and where they can be applied.
Linear Regression Plot for Student Score vs Hours Studied
Code provided upon request.