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
5 views
6
2
7 years ago 01:35:03 167
10 - BigData. Deep learning
10 years ago 01:15:42 52
Deep Learning
5 years ago 01:45:57 20
Deep Learning with Torch
9 years ago 02:29:46 82
DEEP LEARNING - Дмитрий Коробченко
9 years ago 00:22:19 77
Deep Learning Demystified
9 years ago 02:00:48 160
Семинар Сообщества Deep Learning Moscow
9 years ago 01:49:18 484
Лекция Дмитрия Коробченко по Deep Learning
9 years ago 01:47:00 48
Machine learning for neuroscience: HMMs, reinforcement learning, and deep learning