How would I start to code Business Ai myself?

How would I start to code Business Ai myself?

Here is an example of using Python for a sales optimization use case:

import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestRegressor
from sklearn.metrics import mean_squared_error

Load sales data into a pandas DataFrame

sales_data = pd.read_csv(“sales_data.csv”)

Split the data into training and testing sets

train_data, test_data, y_train, y_test = train_test_split(sales_data.drop(‘sales’, axis=1), sales_data[‘sales’], test_size=0.2, random_state=42)

Train a random forest regressor

model = RandomForestRegressor(n_estimators=100, random_state=42), y_train)

Use the model to predict sales for the test data

predictions = model.predict(test_data)

Evaluate the accuracy of the model

print(“Mean Squared Error:”, mean_squared_error(y_test, predictions))

Use the model to predict sales for new data

new_data = pd.read_csv(“new_sales_data.csv”)
new_predictions = model.predict(new_data)

Use the model to make feature importances

importances = model.feature_importances_

Sort the feature importances in descending order

sorted_importances = np.argsort(importances)[::-1]

Print the top 5 most important features

print(“Top 5 Most Important Features:”)
for i, index in enumerate(sorted_importances[:5]):
print(f”{i + 1}. {train_data.columns[index]}: {importances[index]}”)

This code example includes training a random forest regressor, evaluating the model using mean squared error, making predictions for new data, and finding feature importances.

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