Unlock the secrets of AI and machine learning in this comprehensive step-by-step tutorial! In this video, we’ll guide you through building an artificial neural network (ANN) to predict customer churn using Python and TensorFlow. Whether you’re a beginner or looking to enhance your skills, this tutorial covers everything from installing libraries to making predictions.
Find the dataset used here: www.kaggle.com...
📚 What You’ll Learn:
1. Preprocessing and scaling data
2. Building and compiling the neural network model
3. Training and evaluating the model
4. Making predictions with real customer data
🔥 Why Watch This Video?
• Perfect for beginners and intermediate learners
• Detailed explanations of each line of code
• Visualize the training process and understand model performance
• Practical application with real-world data
🚀 Stay Ahead in AI and Machine Learning!
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