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Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00

Overview of Interior Design Dive into the vibrant world of interior design with the Interior Design Complete Training bundle. As the UK's interior design sector is set to be worth £25 billion by 2027, there's never been a better time to embark on this creative journey. This comprehensive bundle equips you with all you need, from understanding popular styles to mastering colour theory and space planning. By its conclusion, you'll be adept at styling spaces that charm and captivate, ready to tackle any design challenge. Embark on a fulfilling career in this booming industry today. Improving and moving forward is key to getting ahead personally. The Interior Design course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! Get a Quick Look at The Course Content: This Interior Design Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Interior Design. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Interior Design course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Interior Design is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Interior Design course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Interior Design Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Interior Design Course Module 1: Introduction to Interior Design 00:25:00 Module 2: Design Principles 00:23:00 Module 3: Project Overview 00:30:00 Module 4: Design Elements 00:22:00 Module 5: Design Elements Practical Components 00:32:00 Module 6: Room by Room Design 00:23:00 Module 7: Popular Interior Designs 00:22:00 Module 8: Sustainable Design 00:19:00 Module 9: Presenting Your Ideas 00:20:00 Module 10: Managing Interior Design Business 00:24:00 Assignment Assignment - Interior Design 00:00:00

Overview of Urban Farming and Gardening Join our Urban Farming and Gardening course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Urban Farming and Gardening course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Urban Farming and Gardening course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Urban Farming and Gardening Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Urban Farming and Gardening. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Urban Farming and Gardening course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Urban Farming and Gardening is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Urban Farming and Gardening course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Urban Farming and Gardening Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Module 1: Introduction to Urban Farming and Gardening 00:15:00 Module 2: Essential Gardening Tools and Equipment 00:15:00 Module 3: Planning and Budgeting for Urban Farming 00:14:00 Module 4: Soil Preparation and Planting Techniques 00:14:00 Module 5: Pest Management and Plant Health 00:15:00 Module 6: Sustainable Practices in Urban Farming 00:14:00 Module 7: Plant Care and Harvesting 00:14:00 Module 8: Design and Construction for Urban Gardens 00:00:00

Overview of AutoCAD Programming Using C#.NET Join our AutoCAD Programming Using C#.NET Level 7 course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The AutoCAD Programming Using C#.NET Level 7 course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The AutoCAD Programming Using C#.NET Level 7 course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! Get a Quick Look at The Course Content: This AutoCAD Programming Using C#.NET Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this AutoCAD Programming Using C#.NET Level 7. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the AutoCAD Programming Using C#.NET Level 7 course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This AutoCAD Programming Using C#.NET Level 7 is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the AutoCAD Programming Using C#.NET Level 7 course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this AutoCAD Programming Using C#.NET Level 7 Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Unit 01: Course Outline and Introduction Module 01: Introduction 00:01:00 Module 02: Who is this course for? 00:01:00 Module 03: What Will I Learn from this Course? 00:01:00 Module 04: What is CSharp (C#)? 00:01:00 Module 05: What is AutoCAD .NET API? 00:01:00 Module 06: What are the advantages of programming in AutoCAD .NET API? 00:02:00 Unit 02: .Net Framework and Visual Studio 2017 Community Edition Module 01: Section Overview 00:01:00 Module 02:.NET Framework Architecture Overview 00:03:00 Module 03: .NET Framework Class Library, Common Type System, Common Language Runtime 00:03:00 Module 04: More about.NET Framework Common Language Runtime (CLR) 00:02:00 Module 05: Visual Studio 2017 Integrated Development Environment (IDE) 00:03:00 Module 06: Visual Studio 2017 IDE Demo 00:07:00 Unit 03: C# Fundamentals Module 01: Section Overview 00:03:00 Module 02: DataTypes and Variables - Value Types (signed/unsigned integers) 00:04:00 Module 03: DataTypes and Variables - Signed and Unsigned Integer Demo 00:06:00 Module 04: DataTypes and Variables - Floating Point and Decimal 00:02:00 Module 05: DataTypes and Variables - Floating Point and Decimal Demo 00:04:00 Module 06: DataTypes and Variables - Boolean 00:03:00 Module 07: DataTypes and Variables - Reference Types 00:03:00 Module 08: DataTypes and Variables - Class Type 00:03:00 Module 09: DataTypes and Variables - Class Type - Demo 00:11:00 Module 10: DataTypes and Variables - Interface Type 00:01:00 Module 11: DataTypes and Variables - Array Type 00:02:00 Module 12: DataTypes and Variables - Array Type - Demo (Single Dimension) 00:08:00 Module 13: DataTypes and Variables - Array Type - Demo (Multi Dimension) 00:10:00 Module 14: C# Operators Overview 00:02:00 Module 15: C# Assignment Operators 00:03:00 Module 16: C# Assignment Operators - Demo 00:06:00 Module 17: C# Unary Operators 00:02:00 Module 18: C# Unary Operators - Demo 00:02:00 Module 19: C# Primary Operators 00:03:00 Module 20: C# Primary Operators - Demo 00:07:00 Module 21: C# Equality Operators 00:01:00 Module 22: C# Equality Operators - Demo 00:02:00 Module 23: C# Additive Operators 00:02:00 Module 24: C# Additive Operators - Demo 00:01:00 Module 25: C# Multiplicative Operators 00:01:00 Module 26: C# Multiplicative Operators - Demo 00:01:00 Module 27: C# - Relational and Type Operators 00:04:00 Module 28: C# - Logical, Conditional and Null Operators 00:04:00 Module 29: C# - Logical, Conditional and Null Operators - Demo 00:07:00 Module 30: C# Keywords (Reserved Words) 00:04:00 Module 31: C# - Conditionals Overview 00:01:00 Module 32: C# Conditionals - If-Then-Else Statement 00:03:00 Module 33: C# Conditionals - If-Then-Else Statement - Demo 00:07:00 Module 34: C# Conditionals - Switch Statement 00:03:00 Module 35: C# Conditionals - Switch Statement - Demo 00:04:00 Module 36: C# - Loops Overview 00:04:00 Module 37: C# Loops - For Loop 00:02:00 Module 38: C# Loops - For Loop - Demo 00:02:00 Module 39: C# Loops - Foreach Loop 00:02:00 Module 40: C# Loops - Foreach Loop - Demo 00:05:00 Module 41: C# Loops - While Loop 00:02:00 Module 42: C# Loops - While Loop - Demo 00:02:00 Module 43: C# Loops - Do While Loop 00:02:00 Module 44: C# Loops - Do While Loop - Demo 00:03:00 Module 45: Modifiers Overview 00:04:00 Module 46: Debugging Overview 00:03:00 Module 47: Debugging - Demo 1 00:05:00 Module 48: Debugging - Demo 2 00:12:00 Module 49: Debugging - Demo 3 00:06:00 Module 50: Error and Exception Handling - Overview 00:02:00 Module 51: ExceptionHandling - Demo 1 00:07:00 Module 52: ExceptionHandling - Demo 2 00:07:00 Module 53: ExceptionHandling - Demo 3 00:13:00 Module 54: Introduction to Object Oriented Programming (OOP) 00:04:00 Module 55: OOP - Encapsulation - Demo (Part 1) 00:11:00 Module 56: OOP - Encapsulation - Demo (Part 2) 00:12:00 Module 57: OOP - Inheritance - Demo (Part 1) 00:07:00 Module 58: OOP - Inheritance - Demo (Part 2) 00:05:00 Module 59: OOP - Polymorphism - Demo (Part 1) 00:10:00 Module 60: OOP - Polymorphism - Demo (Part 2) 00:03:00 Unit 04: Exploring AutoCAD .NET API Module 01: AutoCAD .NET API - Overview 00:01:00 Module 02: AutoCAD .NET API Assemblies 00:02:00 Module 03: Using AutoCAD .NET API in C# - Hello AutoCAD Demo Part 1 00:12:00 Module 04: Using AutoCAD .NET API in C# - Hello AutoCAD Demo - Part 2 00:04:00 Module 05: AutoCAD .NET API Object Hierarchy 00:03:00 Module 06: AutoCAD .NET API - Application Object Overview 00:03:00 Module 07: AutoCAD .NET API - Document Object Overview 00:03:00 Module 08: AutoCAD .NET API - Database Object Overview 00:03:00 Unit 05: Creating AutoCAD Objects using AutoCAD .NET API Module 01: Creating AutoCAD Objects using AutoCAD .NET API - Overview 00:01:00 Module 02: Creating a Line Object - Lab (Part 1) 00:14:00 Module 03: Creating a Line Object - Lab (Part 2) 00:03:00 Module 04: Creating a MText Object - Lab 00:10:00 Module 05: Creating a Circle Object - Lab 00:07:00 Module 06: Creating an Arc Object - Lab 00:05:00 Module 07: Creating a LWPolyline Object - Lab 00:05:00 Unit 06: Manipulate AutoCAD Objects Module 01: Manipulate AutoCAD Objects - Overview 00:01:00 Module 02: Copy Object using C# - Theory 00:01:00 Module 03: Copy Object using C# - Lab (Part 1) 00:11:00 Module 04: Copy Object using C# - Lab (Part 2) 00:02:00 Module 05: Copy multiple objects using C# - Lab (Part 1) 00:09:00 Module 06: Copy multiple objects using C# - Lab (Part 2) 00:01:00 Module 07: Erase Object using C# - Lab (Part 1) 00:06:00 Module 08: Erase Object using C# - Lab (Part 2) 00:05:00 Module 09: Move Object using C# - Lab (Part 1) 00:06:00 Module 10: Move Object using C# - Lab (Part 2) 00:02:00 Module 11: Mirror Object using C# - Lab (Part 1) 00:10:00 Module 12: Mirror Object using C# - Lab (Part 2) 00:02:00 Module 13: Rotate Object using C# - Lab (Part 1) 00:07:00 Module 14: Rotate Object using C# - Lab (Part 2) 00:03:00 Module 15: Scale Object using C# - Lab 00:05:00 Module 16: Copy Object Exercise 00:02:00 Module 17: Copy Object Solution 00:06:00 Module 18: Erase Object Exercise 00:02:00 Module 19: Erase Object Solution 00:07:00 Module 20: Move Object Exercise 00:02:00 Module 21: Move Object Solution 00:06:00 Module 22: Mirror Object Exercise 00:02:00 Module 23: Mirror Object Solution 00:06:00 Module 24: Rotate Object Exercise 00:02:00 Module 25: Rotate Object Solution 00:06:00 Module 26: Scale Object Exercise 00:01:00 Module 27: Scale Object Solution 00:05:00 Unit 07: Exploring AutoCAD Dictionaries (Layers, LineTypes, TextStyles) Module 01: Exploring AutoCAD Dictionaries - Layers Overview 00:03:00 Module 02: Listing all the Layers in the drawing using C# 00:11:00 Module 03: Creating a Layer in AutoCAD using C# 00:09:00 Module 04: Updating a Layer in AutoCAD using C# 00:09:00 Module 05: Turning the Layer On/Off in AutoCAD using C# 00:05:00 Module 06: Thawing/Freezing Layer in AutoCAD using C# 00:04:00 Module 07: Deleting a Layer in AutoCAD using C# 00:03:00 Module 08: Locking/UnLocking a Layer in AutoCAD using C# 00:05:00 Module 09: Assigning a Layer to an AutoCAD object using C# 00:03:00 Module 10: Exploring AutoCAD Dictionaries - LineTypes Overview 00:01:00 Module 11: Listing all the LineTypes in the drawing using C# 00:07:00 Module 12: Loading a LineType in the drawing using C# 00:07:00 Module 13: Setting the Current LineType in AutoCAD using C# 00:03:00 Module 14: Deleting a LineType in AutoCAD using C# 00:03:00 Module 15: Setting a LineType to an object using C# 00:04:00 Module 16: Exploring AutoCAD Dictionaries - TextStyles Overview 00:01:00 Module 17: Listing all the TextStyles in the drawing using C# 00:08:00 Module 18: Updating current TextStyle Font in AutoCAD using C# 00:10:00 Module 19: Setting the Current TextStyle in AutoCAD using C# 00:08:00 Module 20: Setting a TextStyle to an object using C# 00:04:00 Unit 08: User Input Functions Module 01: User Input Functions Overview 00:01:00 Module 02: Using GetString Method - Lab (Part 1) 00:13:00 Module 03: Using GetString Method - Lab (Part 2) 00:10:00 Module 04: Using GetPoint Method - Lab 00:12:00 Module 05: Using GetDistance Method - Lab 00:04:00 Module 06: Using GetKeyWords Method - Lab (Part 1) 00:12:00 Module 07: Using GetKeyWords Method - Lab (Part 2) 00:02:00 Unit 09: Selection Sets and Filters Module 01: Selection Sets and Filters - Overview 00:02:00 Module 02: Using SelectAll Method - Lab (Part 1) 00:11:00 Module 03: Using SelectAll Method - Lab (Part 2) 00:02:00 Module 04: Using SelectOnScreen Method - Lab (Part 1) 00:06:00 Module 05: Using SelectOnScreen Method - Lab (Part 2) 00:01:00 Module 06: Using SelectWindow Method - Lab 00:08:00 Module 07: Using SelectCrossingWindow Method - Lab 00:08:00 Module 08: Using SelectFence Method - Lab 00:08:00 Module 09: Using PickFirstSelection Method - Lab 00:11:00 Module 10: Using SelectionSet Filters - Overview 00:01:00 Module 11: Using SelectionSet Filters - Selecting Lines 00:09:00 Module 12: Using SelectionSet Filters - Selecting MTexts Lab 00:07:00 Module 13: Using SelectionSet Filters - Selecting Polylines Lab 00:03:00 Module 14: Using SelectionSet Filters - Selecting Blocks (FrenchDoors) Lab 00:07:00 Module 15: Using SelectionSet Filters - Selecting Blocks (BiFoldDoors) Lab 00:04:00 Module 16: Using SelectionSet Filters - Selecting objects in a Layer (Walls) Lab 00:07:00 Module 17: Using SelectionSet Filters - Selecting all objects in a Layer (Stairs) Lab 00:05:00 Module 18: Using SelectionSets and Filters - Exercises 00:02:00 Unit 10: Developing Title Block Project - Hands On! Module 01: TitleBlock Project - Overview 00:05:00 Module 02: Creating Project and TBlock Class - Lab 00:14:00 Module 03: Creating Classes for each Paper Sizes - Lab 00:07:00 Module 04: Creating TitleBlock Class - Lab 00:14:00 Module 05: Handling User Selected Paper Size - Lab 00:05:00 Module 06: Creating the TitleBlock Border Lines - Lab 00:06:00 Module 07: Creating the Horizontal Partition Lines - Lab (Part 1) 00:11:00 Module 08: Creating the Horizontal Partition Lines - Lab (Part 2) 00:05:00 Module 09: Creating Vertical Partition Lines - Lab 00:11:00 Module 10: Project Check on the Partition Lines - Lab 00:07:00 Module 11: Creating the TitleBlock Labels - Lab (Part 1) 00:10:00 Module 12: Creating the TitleBlock Labels - Lab (Part 2) 00:09:00 Module 13: Creating the TitleBlock Labels - Lab (Part 3) 00:11:00 Module 14: Project Check on the Labels 00:07:00 Module 15: Creating Drawing Information Texts 00:08:00 Module 16: Debugging the TitleBlock Project - Lab 00:10:00 Module 17: Completing and Running the TitleBlock Plugin 00:05:00 Module 18: Audit Drawing Project - Overview 00:02:00 Module 19: Audit Drawing Project - Demo 00:07:00 Module 20: Creating the AuditDrawing Project 00:11:00 Module 21: Creating the AuditDrawing DisplayOnScreen Method 00:14:00 Module 22: Creating the AuditDrawing Write to TXT File Method 00:08:00 Module 23: Creating the AuditDrawing Write to CSV File Method 00:06:00 Module 24: Creating the AuditDrawing Write to HTML File Method 00:14:00 Module 25: AuditDrawing Plugin Demo 00:04:00 Module 26: Creating the AuditBlock Method 00:05:00 Module 27: Creating the AuditBlock GatherBlocksAndCount Method 00:16:00 Module 28: Creating the AuditBlock DisplayOnScreen Method 00:06:00 Module 29: Creating the AuditBlock WriteToTXTFile Method 00:05:00 Module 30: Creating the AuditBlock WriteToCSVFile Method 00:05:00 Module 31: Creating the AuditBlock WriteToHTMLFile Method 00:07:00 Module 32: AuditBlock Completed Component - Demo 00:12:00 Unit 11: Conclusion Module 01: Conclusion 00:01:00