British Values The new ascent in psychological oppressor assaults and fanatic exercises has become a wellspring of developing worry in Britain. Significantly more disturbing is the danger of radicalisation of youth by Islamic fear monger gatherings. The Department for Education emphatically recommends ingraining British qualities from the early years as a methods for checking the dangers of radicalisation. What You Will Learn: The significance of British qualities and why they are an incredible asset to battle the danger of radicalisation How British qualities assist understudies with understanding the contrast among good and bad by rehearsing them in their day by day lives The advantages and objectives of presenting British qualities in schools and how SMSC (otherworldly, good, social and social turn of events) can help support understudy advancement How majority rules system and law and order permit a harmony among opportunity and responsibility How common regard, singular freedom and resistance have a significant influence in cultivating agreement How schools can advance these qualities in down to earth, powerful ways The Benefits of Taking This Course: This course can especially profit educators and school staff who collaborate with kids consistently. You will have the chance to impart British qualities in understudies directly since the beginning By seeing each worth, you can make inventive and reasonable exercises to advance these qualities You can permit understudies sufficient opportunity while at the same time directing their endeavors to make arrangements, carry out rules and consider current issues You can put together discussions, discourse composing and exposition challenges to rouse understudies to ponder significant issues Advancing British qualities at school causes you create future residents of the country who will act with decency and resistance The advancement of British qualities propels understudies to oppose radicalisation and programming. Ingraining British qualities assists understudies with forming into develop, composed grown-ups and permits them to decidedly add to life in present day Britain.
Online Data Analyst Course Introduction Information is all over the place, and it is turning into an inexorably significant piece of working life, paying little heed to industry or position. Figuring out this data and utilizing it to your advantage includes information investigation. Everybody from the CEO to individuals from the showcasing office rely upon this sort of examination, as it can give guidance to your organization, assisting you with bettering meet your business objectives. Information examination is a perplexing field, requiring a wide scope of information, including PC displaying and insights. Learning the essentials behind information examination is the best spot to begin, causing the field to appear to be less overpowering and assisting you with profiting by information investigation sooner. This course gives you an expansive prologue to the field of information examination, assisting you with incorporating it straightaway. We start the Online Data Analyst Course by giving meanings of key terms, guaranteeing that you comprehend them with regards to data assembling and preparing. Then, we examine the suggested information examination model, giving you bit by bit directions. Best practices are investigated straightaway, giving you general tips on the best way to deal with the best information. At last, we survey the utilization of programming, to help you in this interaction. What You will Learn The meanings of information and investigation inside a business setting The seven stages that are associated with the information assortment/examination measure The significance of employing an exceptionally talented and qualified group The best three hints for working with business information Instructions to successfully utilize Microsoft Excel for examination purposes Advantages of Taking this Online Data Analyst Course Realizing why information examination is essential to an organization's prosperity Realizing when to layout your objectives and measurements Seeing how much information you ought to get and from what sort of sources Discovering how to deal with crude information and what steps you need to take, to guarantee exactness Figuring out how to initiate the Analysis ToolPak contained in Microsoft Excel
The NLP Practitioner Training Course is your gateway to mastering the art of communication, helping you influence both yourself and others in a positive and effective way. Using Neuro-Linguistic Programming (NLP), you will learn techniques that enhance your understanding of human behaviour and thought processes. NLP is often used to build better relationships, manage stress, and boost confidence. Through this course, you’ll gain the tools to unlock the full potential of your mind, allowing you to navigate life's challenges with a more grounded and practical mindset. This training course delves deep into the principles of NLP, offering insights into how language, perception, and behaviour are interconnected. Whether you're looking to improve your professional interactions, personal relationships, or gain a deeper understanding of how your mind works, this course offers valuable skills to transform your approach to communication. Learn at your own pace and discover how to apply NLP techniques effectively to achieve greater clarity and results in your day-to-day life. It’s time to take control of your mental programming and sharpen your ability to influence, connect, and grow. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 1: Introduction to NLP Module 2: NLP Communication Model Module 3: NLP Coaching Model Module 4: NLP Presuppositions and Beliefs Module 5: NLP Techniques for Personal Change Module 6: NLP Strategies for Effective Communication Module 7: Advanced NLP Techniques Module 8: NLP Applications Module 9: NLP Practitioner Certification Learning Outcomes: Develop powerful communication strategies for personal and professional success. Master techniques for personal change and growth, enhancing life satisfaction. Apply advanced NLP strategies to enhance decision-making and problem-solving skills. Gain proficiency in coaching, unlocking the potential to guide others effectively. Acquire a deep understanding of NLP applications across various domains. Attain a recognised NLP Practitioner Certification, validating your expertise. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals seeking personal growth and effective communication skills. Professionals aiming to enhance their coaching and leadership abilities. Anyone interested in mastering NLP techniques for positive life changes. Team leaders looking to improve team dynamics and collaboration. Entrepreneurs wanting to refine their communication and negotiation skills. Psychologists or therapists seeking additional tools for client engagement. Career changers exploring new opportunities in personal development. Educators interested in applying NLP principles in teaching and training. Career path Life Coach Communication Consultant Human Resources Specialist Personal Development Trainer Sales and Marketing Strategist Education and Training Facilitator Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
Discover the essentials of personal fitness coaching with a course designed to elevate your understanding of exercise science, client management, and training strategies. This course offers a thorough exploration of client assessment, goal setting, and exercise programming, ensuring you can confidently guide individuals towards healthier lifestyles. With a focus on adapting workouts for diverse needs, including special populations, you’ll gain insights into tailored coaching methods that promote sustainable progress. Injury prevention and rehabilitation are also covered, equipping you with the knowledge to support safe and effective training journeys. Beyond training techniques, this course also delves into the business side of personal coaching, highlighting marketing strategies and leadership skills crucial for building a successful career. Whether you aim to enhance your existing fitness knowledge or begin a new professional path, this course provides the tools to confidently manage clients and run a thriving coaching practice. Perfectly suited for those seeking flexible, online study, it ensures you acquire valuable expertise without the constraints of in-person attendance. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: Introduction to Personal Training Module 02: Client Assessment and Goal Setting Module 03: Exercise Programming and Instruction Module 04: Special Populations and Additional Training Techniques Module 05: Injury Prevention and Rehabilitation Module 06: Advanced Training Techniques Module 07: Business and Marketing for Personal Trainers Module 08: Coaching and Leadership Skills Learning Outcomes: Assess client needs and set achievable fitness objectives. Design and implement effective exercise programs. Address the unique requirements of special populations. Prevent injuries and aid in rehabilitation. Explore advanced training strategies and techniques. Develop business acumen and leadership abilities. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Fitness enthusiasts seeking a career change. Aspiring personal fitness coaches. Health and wellness enthusiasts. Individuals interested in the fitness industry. Those looking to enhance their coaching skills. Anyone desiring a well-rounded fitness education. Career path Personal Fitness Coach Health and Wellness Consultant Group Exercise Instructor Corporate Wellness Program Coordinator Rehabilitation Specialist Fitness Entrepreneur Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
Overview This comprehensive course on Clinical Data Analysis with SAS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Clinical Data Analysis with SAS comes with accredited certification, 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 Clinical Data Analysis with SAS. It is available to all students, of all academic backgrounds. Requirements Our Clinical Data Analysis with SAS 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 5 sections • 30 lectures • 01:54:00 total length •Course Promo: 00:01:00 •1.1 Components of the Pharma Industry: 00:05:00 •1.2 Phases of Clinical Trials: 00:06:00 •1.3 Data and Reports in Clinical Trials: 00:04:00 •1.4 Types of Data: 00:05:00 •2.1 Clinical Study Protocol: 00:02:00 •2.2 Ethical Consent: 00:01:00 •2.3 Inclusion-Exclusion Criteria: 00:01:00 •2.4 Statistical Analysis Plan: SAP, Mockshell and CRF: 00:04:00 •3.1 General SAS Programming Steps: 00:02:00 •3.2 One Search Report: Demographics Table: 00:04:00 •3.3 Understanding the Demographics Table: 00:03:00 •3.4 Programming the Demographics Table: 00:05:00 •3.5 Importing Raw Demographic Data into the SAS: 00:04:00 •3.6 Deciding what Procedure to Use: 00:02:00 •3.7 Deriving the AGE variable: 00:10:00 •3.8 Obtaining Summary Statistics for AGE: 00:04:00 •3.9 Adding the 3rd Treatment Group using Explicit Output: 00:05:00 •3.10 Deriving the SEX variable: 00:03:00 •3.11 Obtaining Summary Statistics for SEX: 00:03:00 •3.12 Concatenating the COUNT and PERCENT Variables: 00:03:00 •3.13 Deriving the RACE Variable: 00:03:00 •3.14 Obtaining Summary Statistics for RACE: 00:03:00 •3.15 Stacking All the 3 Summary Statistics Together: 00:06:00 •3.16 Fixing the Precision Points: 00:04:00 •3.17 Transposing Data: 00:03:00 •3.18 Fixing the Order of Statistical Parameters: 00:05:00 •3.19 Building the Final Report: 00:02:00 •3.20 Putting the Final Touches to the Report: 00:11:00 •Resources - Clinical Data Analysis with SAS: 00:00:00
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Step 2: Initial One-On-One Counselling Session After enroling in the IT Support Training, connect with a career mentor in an initial session to tailor your learning path based on your career goals and skills. Step 3: Certification upon Course Completion After learning from the IT Support courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping We'll professionally enhance your CV and LinkedIn profile to effectively showcase your skills in IT Support for the IT/Web industry. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your IT Support career goals, including high-profile connections on LinkedIn. Step 6: Interview Preparation: Access our IT Support Training interview question database and practice with simulated interviews for feedback and improvement. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure IT Support job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8 Post-Interview Support: We'll provide a debriefing session to reflect on your performance and identify areas of improvement for future IT Support interviews if necessary. Step 9 Job Celebration and Ongoing Support: Once you've secured your dream job in ENTRY LEVEL IT Support Engineer, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This IT Support Job Ready Program is perfect for: Aspiring IT professionals eager to enter the tech industry. Career changers looking to transition into IT support. Recent graduates aiming to enhance their employability in IT. Self-taught tech enthusiasts seeking formal training and certification. Anyone needing structured guidance and support to secure an IT job. Requirements No experience is required. Just enrol & start learning. Career path After completing this IT Support Job Ready Program, you will be able to get different jobs such as: IT Support Technician: £20,000 - £40,000 Network Administrator: £25,000 - £50,000 Cybersecurity Analyst: £30,000 - £75,000 Cloud Computing Specialist: £35,000 - £80,000 Data Center Technician: £25,000 - £65,000 Systems Administrator: £30,000 - £70,000 IT Project Manager: £40,000 - £100,000 Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included
This course is about developing core skills that will stay with you for a lifetime. It is designed such that you can watch the material and follow along step-by-step. It focuses on the implementation of YOLOv4 to get you up and running. You'll be an object detecting ninja in no time and be able to graduate to more advanced content.
Do you want to learn software development but don't know where to start? Are you looking for a career change, but don't know how to get your foot in the door? If so, then our Software Development Training program is perfect for you! Our comprehensive Software Development Training offers more than just coding skills; we provide you with personalised mentoring, job opportunities, and unwavering support throughout your professional journey. At studyhub, we understand that becoming a successful software developer involves more than just learning programming languages. That's why our program goes beyond the basics and focuses on empowering you with the tools, knowledge, and confidence to excel in this ever-evolving field. We will help you until you find a job, so you won't have to worry about a thing. Just gain knowledge and learn skills, getting you a job is our duty. We are committed to helping you succeed in your career. 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You just have to learn and gain knowledge and skills. Finding a job is our task! We will remove most of your worries and help you focus on only developing your skills. So join our Software Development Training Program today, and let us be your trusted partner on your journey to success. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Software Development Training program is ideal for: Aspiring software developers seeking comprehensive training and mentorship. Career changers seeking to transition into the software development field. Recent graduates aiming to enhance their technical skills and improve their employability. Professionals in related fields who want to expand their knowledge and delve into software development. Individuals passionate about coding and eager to turn their hobby into a fulfilling profession. Requirements No experience required. Just enrol & start learning. Career path Upon completing our program, you'll be equipped to pursue various software development roles in the UK, such as software engineer, web developer, mobile app developer, database administrator, software tester, or software project manager. With the demand for skilled developers constantly on the rise, you'll have ample opportunities to thrive and grow in your chosen career path. Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included Student ID Card Digital certificate - Included
The course helps in getting knowledge on web development and creating a monolith app using Vue and Laravel, and then break it down to microservices. This course will help beginner-level web application developers to a great extent.
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