Deep Learning with Python for Beginners | Learn Customer Churn Prediction via Keras Library

In this video lecture we will demonstrate a complete project on how you can train a deep learning model with the help of Keras library on Customer Churn Prediction dataset using the local environment. The project starts from the basics of loading the dataset from your current directory, importing it to the Jupyter Notebook, performing the exploratory data analysis for data cleaning/feature engineering. Then the project focus on splitting the dataset followed by training the model, deploying it and evaluating the customer churn prediction. The project also involves the evaluation of the model performance. Project code and datasets can be found in the link here: TIMELINE: 00:00:11 Churn Prediction Introduction 00:02:42 Importing Dataset 00:05:14 Data Cleaning 00:08:57 Exploratory Data Analysis 00:14:36 Data Preprocessing 00:20:31 Model Building and Evaluation with Conclusion To stay connected on course launch updates visit our website or connec