This Report is yet to be approved by a Coordinator.
20 / 3 / 2025
Task -1 Linear and Logistic Regression - HelloWorld for AIML
Linear regression - It is a Machine Learning model used predict values for targets which are linearly dependent on the data. In this task, we were asked to predict the price of a home, based on multiple different variables using linear regression. Here's how I did it.
- First i loaded the file required
- Converted the file into dataframe
- Split the data into training and testing data
- Made prediction for the testing data using linear regression
- Calculated percentage error.
Logistic regression- This is a machine learning model used to classify the data and predict the category of the target variable. Here, there is no linear relationship between the features and target variable. Here, we were asked to train a model to distinguish between different species of the Iris flower based on sepal length, sepal width, petal length, and petal width. Here is how i did it:
i First i loaded the file required
ii Converted the file into dataframe
iii Split the data into training and testing data
iv Classified the data and made prediction through logistic regression.
v converted the string in y_test and y_pred to numerical values so as to find the accuracy of the model
