바틀비의 타자기

1. Define the Problem: Understand the problem you want to solve with machine learning. Define clear goals and objectives for the project. 2. Data Collection: Gather relevant data that will be used to train and test the model. Data can come from various sources such as databases, APIs, files, etc. 3. Data Cleaning and Preprocessing Data cleaning and preprocessing are crucial steps in the machine ..

결과물 import importlib.metadata def update_requirements_txt(file_path): # Open file_path and read each lines with open(file_path, 'r') as file: lines = file.readlines() #List to store the results results = [] # Flag tio check if all packages are installed. If not False. all_installed = True for line in lines: if '==' in line: package_name = line.split('==')[0] else: package_name = line.strip() try..