Creating a Machine Learning Model with IBM Watson Studio and Jupyter
In this video, we'll walk through the basics of creating a machine learning model using IBM Watson Studio and Jupyter notebooks. We'll start by logging into IBM Cloud, then set up a Watson project and create a Jupyter notebook to upload and explore our data. We'll cover the steps for data wrangling and model training, finishing with a quick summary of the process.
Description
This video walks through the basics of creating ML models using IBM Watson Studio and Jupyter notebooks.
Quick Links
0:00 Introduction
0:16 Login to IBM Cloud
0:30 Create a Watson Project
1:13 Create Jupyter Notebook
1:45 Compute Kernel Creation
2:04 Upload Data
2:48 Read Dataframe
3:18 Data Wrangling
3:50 Model Training
4:13 Summary