Curriculum
- 3 Sections
- 30 Lessons
- Lifetime
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- Overview of Project12
- 1.0Introduction [with Video]3 Minutes
- 1.1Importance of Predictive Maintenance3 Minutes
- 1.2Project Scope and Objectives [with Video]3 Minutes
- 1.3Project Approach that you should follow5 Minutes
- 1.4Study Along2 Minutes
- 1.5Use of ChatGPT2 Minutes
- 1.6Project Code2 Minutes
- 1.7Setting up your Project Development Environment3 Minutes
- 1.8Setting up your Local (Laptop/Desktop) Environment6 Minutes
- 1.9EDA Quiz – Predictive Maintenance10 Minutes10 Questions
- 1.10Learning Resources [PDFs] – Logistic Regression & Random Forest
- 1.11Learning Resources [PDFs] – Support vector Machine (SVM)
- Exploratory Data Analysis (EDA) Phase7
- Machine Learning Model Building14
- 3.1Model Building – Study6 Minutes
- 3.2Pre-knowledge Requirements8 Minutes
- 3.3Model Building Steps5 Minutes
- 3.4Logistic Regression Concepts [Video]20 Minutes
- 3.5Random Forest Concepts [Video]20 Minutes
- 3.6Support Vector Machine Concepts [Video]20 Minutes
- 3.7Classification Errors and Metrics [Video]10 Minutes
- 3.8Experiment 1: Logistic Regression Model [with Video]10 Minutes
- 3.9Experiment 1: Logistic Regression Code [with Video]
- 3.10Experiment 2: Random Forest Model [with Video]10 Minutes
- 3.11Experiment 3: Support Vector Machine [with Video]10 Minutes
- 3.12Model Performance Comparisn
- 3.13Project Final Submission – Predictive Maintenance3 Days
- 3.14Code ZIP10 Minutes