Course Content
Introduction
Introduction
0/9
Course Introduction
04:18
Pre-requisite for the course
00:00
Course Objectives & Expected Outcomes
03:59
Future Jobs in Mechanical Engineering Industry
12:11
Sneak Peek into Project – 1
04:05
Sneak Peek into Project – 2
04:03
Sneak Peek into Project – 3
05:31
Sneak Peek into Project – 4
05:16
Sneak Peek into Project – 5
04:50
Cultivating Intelligence: Introduction to Altair RapidMiner
Cultivating Intelligence: Introduction to Altair RapidMiner
0/4
Rapid Set-Up: Installing the Turbocharged No-Code AI Tool
07:04
Interface Expedition: Navigating RapidMiner’s Realm
09:24
Rapid Dive: Launching Your Journey with RapidMiner
06:53
Data Influx: Importing Streams into RapidMiner
06:27
Effortless Data Refinement: No-Code Data Cleaning & Preprocessing
Effortless Data Refinement: No-Code Data Cleaning & Preprocessing
0/8
Data Management: Handling Missing Values
06:23
Data Normalization: Detecting and Managing Outliers
06:28
Filtering Techniques: Refining Data Selection
04:07
Dataset Integration: Merging Tables for Insight
03:49
Aggregation Methods: Blending Data for Analysis
03:49
Feature Engineering: Transforming Data Attributes
03:27
Discretization Strategies: Enhancing Data Representation
05:14
My First No-Code AI Project
05:32
Project-1: Predictive Fault Detection in Joint Human-Automated Systems Using AI / ML
Project-1: Predictive Fault Detection in Joint Human-Automated Systems Using AI / ML
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Project Prelude: Unravelling the Problem Statement
02:06
Setting the Context: Unveiling the Project Background
03:28
Data Discovery Journey: Exploring the Dataset
04:41
Hands-on Data Dive: Importing the Essentials
04:37
Hands-on EDA Essentials: Navigating the Data Landscape
06:38
Hands-on Tidy Up: Mastering Data Cleaning and Preparation
09:11
Hands-on Model Crafting: Forging Predictive Power
05:58
Hands-on Spotlight on Outcome: The Results and Performance Analysis
06:08
Project-2: Predicting Air Pressure System Failures in Scania Trucks for Enhanced Operational Safety and Efficiency
Project-2: Predicting Air Pressure System Failures in Scania Trucks for Enhanced Operational Safety and Efficiency
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Project Prelude: Unravelling the Problem Statement
01:55
Setting the Context: Unveiling the Project Background
03:07
Data Discovery Journey: Exploring the Dataset
05:01
Hands-on Data Dive: Importing the Essentials
04:16
Hands-on EDA Essentials: Navigating the Data Landscape
04:41
Hands-on Tidy Up: Mastering Data Cleaning and Preparation
04:27
Hands-on Model Crafting: Forging Predictive Power
04:13
Hands-on Spotlight on Outcome: The Results and Performance Analysis
04:22
Project-3: Predictive Modeling of Silica Content in Ore Concentrate to Enhance Quality and Efficiency in Mining Operations
Project-3: Predictive Modeling of Silica Content in Ore Concentrate to Enhance Quality and Efficiency in Mining Operations
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Project Prelude: Unravelling the Problem Statement
01:35
Setting the Context: Unveiling the Project Background
03:42
Data Discovery Journey: Exploring the Dataset
08:36
Hands-on Data Dive: Importing the Essentials
02:59
Hands-on EDA Essentials: Navigating the Data Landscape
03:29
Hands-on Tidy Up: Mastering Data Cleaning and Preparation
04:50
Hands-on Model Crafting: Forging Predictive Power
03:28
Hands-on Spotlight on Outcome: The Results and Performance Analysis
05:38
Project-4: Predictive Analysis of Gas Turbine Performance Decay for Optimized Naval Propulsion Efficiency
Project-4: Predictive Analysis of Gas Turbine Performance Decay for Optimized Naval Propulsion Efficiency
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Project Prelude: Unravelling the Problem Statement
02:08
Setting the Context: Unveiling the Project Background
07:35
Data Discovery Journey: Exploring the Dataset
05:25
Hands-on Data Dive: Importing the Essentials
03:18
Hands-on EDA Essentials: Navigating the Data Landscape
03:13
Hands-on Tidy Up: Mastering Data Cleaning and Preparation
02:47
Hands-on Model Crafting: Forging Predictive Power
05:47
Hands-on Spotlight on Outcome: The Results and Performance Analysis
04:18
Project-5: Automated Surface Defect Detection and Classification in Steel Plates Using Machine Learning
Project-5: Automated Surface Defect Detection and Classification in Steel Plates Using Machine Learning
0/8
Project Prelude: Unravelling the Problem Statement
02:28
Setting the Context: Unveiling the Project Background
08:19
Data Discovery Journey: Exploring the Dataset
09:12
Hands-on Data Dive: Importing the Essentials
03:17
Hands-on EDA Essentials: Navigating the Data Landscape
03:25
Hands-on Tidy Up: Mastering Data Cleaning and Preparation
05:31
Hands-on Model Crafting: Forging Predictive Power
03:58
Hands-on Spotlight on Outcome: The Results and Performance Analysis
04:51
AI in Mechanical Engineering: 5 Real-World No-Code AI Projects
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