Deep Learning with ANN in Python: Build & Optimize

By the end of this course, learners will be able to configure a Python environment, preprocess and encode data, build Artificial Neural Network (ANN) architectures, generate predictions, and address imbalanced datasets using resampling techniques. Participants will gain hands-on experience with TensorFlow, Keras, and Anaconda while mastering practical skills in data preparation, model construction, and performance optimization. This course benefits students, data enthusiasts, and professionals

• Configure Python environments and preprocess structured data.
• Build, train, and optimize ANN models with TensorFlow & Keras.
• Handle imbalanced datasets and apply ANN to churn prediction.