• DATA SCIENCE FOR ENGINEERS II

DATA SCIENCE FOR ENGINEERS II

  • Trainers
  • Yao Agbley |
  • Francis Korsah |

This project is based we are building an artificial neural network model that can perform regression task, we are to get Customer’s data such as Customer name, Customer e-mail ,Country, Gender, Age, Annual Salary, Credit Card Debt, Networth, the model should predict Car Puchased Amount

Course Information

Artificial Neural Network - Car sales Prediction - Objectives

Participants at the end of the project should be able to:

  1. Download, Install and use Anaconda, Jupyter, TensorFlow, and Scikit-Learn

 

Participants should be able to do the following on Jupyter:

  1. Import Library

  2. Import Dataset

  3. Visualize Dataset

  4. Create testing and training dataset / Data cleaning

  5. Training the model

  6. Evaluate the model

Artificial Neural Network- Car Sales Prediction- Methodology

Instructor led hands on training with supervised labs / Projects /Online Sessions

Artificial Neural Network - Car Sales Predictions - Course Material

1. Introduction to linear algebra - by Gilbert Strang

2. Applied statistics and probability for engineers – by Douglas Montgomery

3. Mastering python for data science, Samir Madhavan

4. project dataset

Python for Data Science - Resources

Anaconda, Jupyter, TensorFlow, Scikit-learn

Coaches

Yao Agbley

Yao Agbley

Francis Korsah

Francis Korsah