Python Para Analise De Dados - 3a Edicao Pdf Page

# Load the dataset data = pd.read_csv('social_media_engagement.csv') The dataset was massive, with millions of rows, and Ana needed to clean and preprocess it before analysis. She handled missing values, converted data types where necessary, and filtered out irrelevant data.

She began by importing the necessary libraries and loading the dataset into a Pandas DataFrame. Python Para Analise De Dados - 3a Edicao Pdf

# Train a random forest regressor model = RandomForestRegressor() model.fit(X_train, y_train) # Load the dataset data = pd

Ana's first project involved analyzing a dataset of user engagement on a popular social media platform. The dataset included user demographics, the type of content they engaged with, and the frequency of their engagement. Ana's goal was to identify patterns in user behavior that could help the platform improve its content recommendation algorithm. with millions of rows