Mastering Critical Conversations (On-Demand) We will explore various obstacles to delivering 'challenging' messages effectively, including those that come from the external environment as well as those we encounter internally. After gaining insight into the brain science behind the biology of conflict and emotion, we will then examine a 5-step framework for delivering difficult messages. Paired and small group activities comprise a large portion of this interactive course, which culminates in a role play. What you will Learn At the end of this program, you will be able to: Recognize how a perceived threat by the brain translates into a physiological response of fight, flight, or freeze Utilize various techniques to mitigate an 'amygdala hijack' state Leverage a 5-step model to deliver 'challenging' news effectively Managing Difficult Conversations Obstacles to managing difficult conversations Understanding human nature Brain Science and the Biology of Emotion The unique challenge of social and emotional learning The limbic system and the amygdala hijack Self-regulation strategy for the amygdala hijack Delivering Challenging Messages Managing difficult conversations 5 steps for delivering a challenging message Verbal active listening techniques Preparing to deliver a challenging message (scenarios) Conversations Involving Emotion and Conflict Two types of conflict Spectrum of responses to conflict Psychological type preferences and conflict Critical conversation role play Creating an action plan
Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Psychology & Treatment of Addiction Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Psychology & Treatment of Addiction Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Psychology & Treatment of Addiction Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Psychology & Treatment of Addiction Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Psychology & Treatment of Addiction? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Psychology & Treatment of Addiction there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Psychology & Treatment of Addiction course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Psychology & Treatment of Addiction does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Psychology & Treatment of Addiction was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Psychology & Treatment of Addiction is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum About Introduction: About instructor & the course 00:02:00 Theories of Addiction The Moral Model 00:06:00 The Psychological Model 00:09:00 The Psychological Model 00:09:00 The Socio-Cultural Model 00:05:00 Addiction Treatments Pharmacotherapy 00:03:00 The Minnesota Model 00:04:00 Counselling and Therapy 00:07:00 Harm Reduction Model 00:05:00 Treatments in Practice 00:05:00 Addiction in Society Drug policies, Legislation and Decriminalisation 00:09:00 Community change, Outreach, Harm Reduction or Abstinence 00:06:00 Alcohol and Drug education 00:06:00 Alcohol- and drug related issues in the workplace 00:05:00 Addiction in Families Codependency, Children of alcoholic families, parenting styles, family factors 00:08:00 Relapse for families, 'letting go', dependent attitudes and dependent behaviours 00:05:00 Al-Anon 00:05:00 The Intervention Approach 00:05:00 Working with Addiction Why be a 'helper' 00:03:00 'Helper' qualities and attitudes 00:04:00 Counselling / 'helping' skills 00:04:00
Overview This comprehensive course on NLP Practitioner will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This NLP Practitioner comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this NLP Practitioner. It is available to all students, of all academic backgrounds. Requirements Our NLP Practitioner is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 4 sections • 23 lectures • 01:08:00 total length •Introduction to NLP: 00:03:00 •How Does NLP Work: 00:03:00 •Logical Levels of Change: 00:08:00 •Core Concepts of Neuro-Linguistic Programming: 00:03:00 •Understanding Mental Maps, Confirmation Bias, and Cognitive Dissonance: 00:05:00 •Neuro-Linguistic Programming Planning: 00:03:00 •Taking Charge of Your Life: 00:02:00 •Communication.: 00:02:00 •Building Rapport: 00:03:00 •States and Anchors: 00:03:00 •Influence and Persuasion: 00:02:00 •Hypnotising the Audience: 00:03:00 •Stories and Metaphors: 00:03:00 •Affirmations.: 00:02:00 •Reframing: 00:02:00 •Meta Programs: 00:03:00 •Time and Timeline Therapy: 00:02:00 •Fast Phobia Cure: 00:03:00 •GROW Model: 00:03:00 •FUEL Model: 00:03:00 •CLEAR Model: 00:04:00 •OSCAR Model: 00:03:00 •Assignment - NLP Practitioner: 00:00:00
Highlights of the Course Course Type: Online Learning Duration: 3 Hours 21 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about addiction counselling and psychology Understand the core competencies and principles of addiction counselling and psychology Explore the various areas of addiction counselling and psychology Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert addiction counsellor Alcohol and Drug Addictions Psychology Diploma Course Master the skills you need to propel your career forward in addiction counselling and psychology. This course will equip you with the essential knowledge and skillset that will make you a confident addiction counsellor and take your career to the next level. This comprehensive alcohol and drug addictions psychology course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this alcohol and drug addictions psychology course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective addiction counselling and psychology practice and equip you with the essential skills, confidence and competence to assist you in the addiction counselling and psychology industry. You'll gain a solid understanding of the core competencies required to drive a successful career in addiction counselling and psychology. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for addiction counsellor or for people who are aspiring to specialise in addiction counselling and psychology. Enrol in this alcohol and drug addictions psychology course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive alcohol and drug addictions psychology course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this addiction counselling and psychology can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This alcohol and drug addictions psychology course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This alcohol and drug addictions psychology course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This alcohol and drug addictions psychology course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Theories of Addiction Promo Video 00:01:00 The Moral Model 00:05:00 The Psychological Model 00:06:00 The Medical/Disease Model 00:09:00 The Socio-Cultural Model 00:05:00 Addiction Treatments Pharmacotherapy 00:03:00 The Minnesota Model 00:04:00 Counselling And Therapy 00:07:00 Harm Reduction Model 00:04:00 Treatments In Practice 00:05:00 Addiction in Society Drug Policies, Legislation And Decriminalisation 00:08:00 Community Change, Outreach, Harm Reduction Or Abstinence 00:06:00 Alcohol And Drug Education 00:05:00 Addiction in Families Co-Dependency, Children Of Alcoholic Families, Parenting Styles And Family Factors 00:08:00 Relapse For Families, 'Letting Go', Dependent Attitudes And Dependent Behaviours 00:04:00 Al-Anon 00:04:00 The Intervention Approach 00:04:00 Working with Addiction Why Be A Helper 00:03:00 Helper Qualities And Attitudes 00:03:00 The Art Of Accepting 00:03:00 Counselling/Helping Skills 00:04:00 Assessment Assessment - Alcohol and Drug Addictions Psychology Diploma 00:10:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00
Register on the Foundations of Business Strategy Consulting today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Foundations of Business Strategy Consulting is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Foundations of Business Strategy Consulting Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Foundations of Business Strategy Consulting, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Welcome to this Mini MBA Business Strategy Consulting Course! Welcome to this Mini MBA Business Strategy Consulting Course 00:03:00 Mini MBA Business Strategy - Executive Summary - What you will learn 00:10:00 Section 02: What is MBA Level Business Strategy? What is Business Strategy? 00:05:00 Business Vision and the Mission Statement 00:04:00 The Strategy Hierarchy within a Firm 00:06:00 Section 03: Designing Your Business Strategy Introduction to Business Strategy Design 00:02:00 Business Model Design with the Business Model Canvas 00:13:00 Business Model Canvas Template 00:01:00 Lafley & Martin's Five Step Strategy Model 00:05:00 Hambrick & Frederickson's Strategy Diamond 00:06:00 Section 04: Business Strategy Over Time: Life Cycle Models Understanding Life Cycles 00:02:00 The Industry Life Cycle 00:07:00 The Business Life Cycle 00:06:00 The Product Life Cycle 00:05:00 The Corporate Funding Life Cycle 00:04:00 Section 05: External Strategic Environment of the Firm: PEST and PESTEL Analysis External Analysis Using Broad Factors 00:02:00 PEST Analysis 00:08:00 PESTEL Analysis 00:05:00 PESTEL Analysis Template 00:01:00 CASE STUDY EXERCISE: PESTEL Analysis of Starbucks 00:02:00 CASE STUDY SOLUTION: PESTEL Analysis of Starbucks 00:07:00 CASE STUDY EXERCISE: PESTEL Analysis of the Global Aviation Industry 00:07:00 CASE STUDY SOLUTION: PESTEL Analysis of the Global Aviation Industry 00:02:00 Section 06: Strategic Options arising Internal and External Analysis: SWOT, TOWS and SOAR Strategic Options from Internal and External Analysis 00:16:00 SWOT Analysis 00:05:00 Conducting A SWOT Analysis 00:04:00 SWOT Analysis Template 00:02:00 TOWS Matrix Analysis 00:05:00 TOWS Analysis Template 00:14:00 SOAR 00:04:00 SOAR Analysis Template 00:01:00 CASE STUDY EXERCISE: SWOT Analysis - Amazon 00:02:00 CASE STUDY SOLUTION: SWOT ANALYSIS - Amazon 00:09:00 Section 07: Michael Porter - Industry Analysis, Generic Strategies and Competitive Advantage Michael Porter and Business Strategy Analysis 00:02:00 Industry Analysis and Introducing Michael Porter 00:10:00 Competitive Forces Model - Porter's Five Forces 00:12:00 Full List of Porter's Five Forces Factors 00:02:00 Michael Porter's Five Forces Template 00:01:00 CASE STUDY EXERCISE PORTERS FIVE FORCES Global Aviation Industry 00:02:00 CASE STUDY SOLUTION: Porter's Five Forces - Global Airline Industry 00:15:00 Generic Strategies and Industry Forces 00:10:00 Michael Porter's Value Chain Analysis 00:07:00 Value Chain Analysis Template 00:02:00 Section 08: Strategic Prioritisation: Boston Consulting Group (BCG) Growth Share Matrix Boston Consulting Group (BCG) Matrix 00:07:00 BCG Matrix and the Life Cycle 00:03:00 BCG Matrix Advantages and Disadvantages 00:03:00 Adapting the BCG Matrix 00:05:00 Boston Consulting Group (BCG) Matrix Template 00:03:00 CASE STUDY EXERCISE: BCG Matrix - Facebook 00:02:00 CASE STUDY SOLUTION: BCG Matrix - Facebook 00:04:00 CASE STUDY EXERCISE: BCG Matrix - Apple 00:02:00 CASE STUDY SOLUTION: BCG Matrix - Apple 00:04:00 CASE STUDY EXERCISE: BCG Matrix - Unilever 00:02:00 CASE STUDY SOLUTION: BCG Matrix - Unilever 00:05:00 Section 09: MBA Strategy: Building Sustainable Competitive Advantage Competitive Advantage - Deriving Strategy from Inside the Firm 00:03:00 Core Competency 00:05:00 VRIO - Resources to Competitive Advantage 00:06:00 CASE STUDY EXERCISE: Core Competency - Apple 00:02:00 CASE STUDY SOLUTION: Core Competency - Apple 00:05:00 Defining the Unique Selling Proposition 00:05:00 ADL Matrix - Understanding Your Competitive Position 00:07:00 ADL Matrix Template 00:02:00 Section 10: Strategy MBA: Growth Strategy Options Ansoff Product Market Matrix - How to Grow Your Business 00:05:00 Organic vs Inorganic Growth 00:02:00 Internal and External Growth Strategies Expanded 00:11:00 CASE STUDY EXERCISE: Amazon's Growth Strategy 00:02:00 CASE STUDY SOLUTION - Amazon's Growth Strategy 00:06:00 Section 11: Strategic Responses to Mature and Declining Markets Blue Ocean Strategy 00:05:00 Blue Ocean Case Study - Apple 00:05:00 Comparing Red Ocean and Blue Ocean Strategies 00:04:00 How to Survive in an Over Fished Ocean 00:05:00 Section 12: How to Create a Comparative Competitive Analysis on a Page How to Create a Comparative Competitive Analysis on a Page 00:04:00 Section 13: Connecting MBA Strategy and Finance with Financial Modelling Making the Connection between Strategy and Finance 00:04:00 What is an Integrated Financial Model? 00:06:00 Key Drivers of an Integrated Financial Model 00:08:00 Model Structure 00:03:00 Detailed Model Schedules 00:07:00 Chart of Accounts 00:02:00 Financial Statement Inputs and Outputs 00:03:00 10 Steps to Building an Integrated Financial Model 00:05:00 Section 14: Strategy MBA Implementation: Understanding the Strategic Planning Process Summary of the Strategic Analysis Process 00:03:00 Understanding the Strategic Planning Process 00:06:00 Four Step Strategic Management Process 00:03:00 Strategy Formulation in Six Steps 00:07:00 Mintzberg's Five Configurations 00:05:00 Section 15: Summary and Wrap Up Course Summary and Wrap Up 00:05:00 Additional Resource Additional Materials 00:00:00 Assignment Assignment - Foundations of Business Strategy Consulting 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.
A step-by-step guide that walks you through the fundamentals of Python programming followed using Python libraries to create random forest from scratch. A comprehensive course designed for both beginners with some programming experience or even those who know nothing about ML and random forest!
This beginner to the intermediate-level course on .NET MAUI mobile application development enables you to advance your Visual Studio coding skills and implement interfaces using XAML. Learn to develop and publish Minimal API with .NET Core using event driven development while understanding logic and syntax when working on the .NET environment.
Welcome to a hands-on SQL course. In this course, you will learn the fundamentals of SQL databases and the relational model. We will cover core concepts such as inserting data into SQL databases, extracting data from SQL databases, aggregations, subqueries, joins, unions, and window functions. This course will help you write complex queries to perform tasks as required in technical interviews or on the job.
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The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. 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 00:08:00 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 Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 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 00:07:00 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 - Python Machine Learning & Data Science Fundamentals 00:00:00