This tutorial will guide you through the essential steps of building a machine learning model using Python. First, you’ll collect and preprocess your data using libraries like Pandas and NumPy. Next, you’ll split the data into training and testing sets using train_test_split. After selecting an appropriate model, such as Linear Regression or Random Forest, you’ll train it on the train... https://www.codewithtls.com/blogs/introduction-to-machine-learning-in-python