Machine Learning Life Cycle - Text Classification Project in Python

In this tutorial we will explore how the machine learning life cycle and model building works via a text classification project.
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⏲️===TimeStamps===⏲️
0:01 Intro
01:30 ML Life Cycle
05:00 Setup
07:20 Data Collection
07:50 Data Preparation
12:50 Data Cleaning
16:50 Model Building
21:10 Base ML Model & Pipeline
24:10 ML Prediction
28:40 Fixing Imbalance Dataset
36:10 Rebuild ML Model
41:10 Model Evaluation
43:08 Model Interpretation with Lime
50:30 How to Save ML Models
55:00 Model Serving via API
1:05:00 Recap
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[@ed2simon]

Great video tutorial

[@JCharisTech]

Glad you liked it

[@cyberomtech]

He'llo my dear,can you please add time stamps plz😊

[@JCharisTech]

Sure there are some already in the description.
⏲️===TimeStamps===⏲️
0:01 Intro
01:30 ML Life Cycle
05:00 Setup
07:20 Data Collection
07:50 Data Preparation
12:50 Data Cleaning
16:50 Model Building
21:10 Base ML Model & Pipeline
24:10 ML Prediction
28:40 Fixing Imbalance Dataset
36:10 Rebuild ML Model
41:10 Model Evaluation
43:08 Model Interpretation with Lime
50:30 How to Save ML Models
55:00 Model Serving via API
1:05:00 Recap