Python Para Analise De Dados - 3a Edicao Pdf 〈Top 10 GENUINE〉

import pandas as pd import numpy as np import matplotlib.pyplot as plt

# Train a random forest regressor model = RandomForestRegressor() model.fit(X_train, y_train) Python Para Analise De Dados - 3a Edicao Pdf

# Calculate and display the correlation matrix corr = data.corr() plt.figure(figsize=(10,8)) sns.heatmap(corr, annot=True, cmap='coolwarm', square=True) plt.show() Ana's EDA revealed interesting patterns, such as a strong correlation between age and engagement frequency, and a preference for video content among younger users. These insights were crucial for informing the social media platform's content strategy. import pandas as pd import numpy as np import matplotlib

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. The dataset included user demographics, the type of

# Plot histograms for user demographics data.hist(bins=50, figsize=(20,15)) plt.show()

Ana had always been fascinated by the amount of data generated every day. As a data enthusiast, she understood the importance of extracting insights from this data to make informed decisions. Her journey into data analysis began when she decided to pursue a career in data science. With a strong foundation in statistics and a bit of programming knowledge, Ana was ready to dive into the world of data analysis.