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Overview This course will provide you with the skills and knowledge required by Non-Accounts Managers to understand Finance and Accounting processes they face in their daily work schedule. The main objective of this course is to highlight accounting, understand the framework of accounting, and stages of accounts and also to elaborate rules and principles of accounting. With a lot of Case studies and open discussions with live examples, participants will gain detailed knowledge to understand their company from a financial perspective and also to help manage financial matters. At the end of the course, you will learn how to apply financial techniques, understand financial reports and annual reports, the relationship between accounting and finance thereby gaining knowledge of the use of debits and credits and last but not least to identify limitations of financial statements.  At the end of this training course, participants will: Be able to Record Transactions in the Accounting System Understand the Format and Contents of Financial Statements Use Accounting Information to Interpret and Evaluate a Business Make Efficient and Profitable Decisions, based on Cost Information Apply Budgetary Control Techniques to ensure that Targets are Achieved

Overview Having a detailed understanding of financial statements is critical to assessing financial risk, and the rate of change in financial statement standards makes this a continuing challenge for users. This course brings together the key elements of financial statement analysis to help participants develop their skills in this area and enable them to ask the right questions to really get under the skin and see the real risks facing businesses and investors in these challenging times. The reference reporting framework used will be IFS. 

Overview This five-day workshop provides a detailed review of significant IFRS requirements for the upstream oil and gas sector, including regulatory reporting and the diverse accounting practices that arise from the many commercial and contracting arrangements which are unique to it. It includes coverage of IFRSs, hands-on case studies, examples, exercises, and benefits from the interactive participation of the attendees. The program includes the latest pronouncements, and participants are brought up-to-date on all topics. In addition, participants are provided with information to assist them in researching accounting issues and monitoring future changes.

The Complete guide to the world of Journalism Do you want to report live events as they happen? If you are interested in writing and telling the recent events that are happening around the world, then Journalism might just be the path you want to follow. How to get started? By enrolling into this course. Journalists write and assemble together news stories that will interest their audience. By gathering together a number of different sources and ensuring that all the arguments are represented, they keep their audience abreast of events in their world. Getting your creative writing in full flow, journalism can encompass everything from hard-edged investigative reporting for national newspapers and television channels to more subdued article-writing for trade journals and the consumer press. If you are someone who is interested in journalism, then you have to learn the basics of journalism. In this course, you will learn about newspaper journalism and how women have contributed to the journalism industry. Course Highlights Accredited Journalism Course is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Accredited Journalism Course into 58 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 1 day, 18 hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Accredited Journalism Course Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Accredited Journalism Course is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Accredited Journalism Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Journalism Basics What Is A Journalist? 01:00:00 What Type Of Degree Do I Need? 00:30:00 How To Get Started Writing Before Graduation 01:00:00 The Rules Of Journalism 01:00:00 Building A Portfolio 00:30:00 What Is Style? 01:00:00 What Does A Copy Editor Do? 01:00:00 Additional Degrees To Consider 01:00:00 Online Journalism - The Way Of The Future 01:00:00 What To Expect On Your First Job 00:30:00 Newspaper Journalism What is news? FREE 01:00:00 What is a journalist? FREE 01:00:00 The shape of the news story 00:15:00 Writing the intro in simple steps 01:00:00 Writing the intro, the golden rules 00:30:00 Writing the news story in simple steps 01:00:00 Writing the news story - clear writing 00:30:00 Quotes 01:00:00 Attribution 00:30:00 Newspaper Reporting What Is A Newspaper Reporter? 01:00:00 What Education Do I Need? 00:30:00 How To Start Newspaper Writing 01:00:00 The Rules Of Newspaper Reporting 02:00:00 Compiling Clippings 01:00:00 Learning About Style 01:00:00 What Is A Copy Editor? 01:00:00 Additional Fields Of Study 01:00:00 Online Reporting - What You Need To Know 00:05:00 Your Path To Success As A Newspaper Reporter 01:00:00 TV Journalism News Gathering 00:30:00 Enterprising Stories 00:30:00 Watch your interviewee's body language. 00:15:00 Working with Sources 00:15:00 Covering Events 00:30:00 Computer-Assisted Reporting 00:30:00 Glossary of Broadcast News Teams 00:15:00 Law, Ethics And Responsibility 00:15:00 Operating Standards for News and Public Affairs 00:15:00 Lighting 00:15:00 Media What is the Media? FREE 00:15:00 What Makes News? 00:30:00 Plan your Approach 01:00:00 Adhere to Deadlines 00:30:00 The Interview 00:15:00 Social Media and Journalism Definition of Social Media 00:15:00 Communication flow within journalism 00:15:00 The impact of social media on journalism 00:30:00 Women in Journalism The Secret Significance of Journalism 01:00:00 Imperfections of the Existing Woman−Journalist 01:00:00 The Roads towards Journalism 01:00:00 The Aspirant 01:00:00 Style 01:00:00 The Outside Contributor 01:00:00 The Search for Copy 01:00:00 The Art of Corresponding with an Editor 00:30:00 Notes on the Leading Types of Papers 00:30:00 Woman's Sphere in Journalism 01:00:00 Conclusion 00:15:00 Mock Exam Mock Exam- Accredited Journalism Course 00:30:00 Final Exam Final Exam- Accredited Journalism Course 00:30:00

This Course at a Glance Gain knowledge about the key terminology used when handling medicines Understand the role and responsibilities of the people involved in safe handling of medicines Gain knowledge about medicine licensing and the key legislations that govern safe handling of medicines Recognise the various types of medicines including the medicines that can only treat symptoms Assess the levels of support the patient requires in terms of capabilities Identify the routes by which the medicine can be administered Understand how to control and use equipment to prevent the spread of infection Understand how to conduct proper label interpretation and record keeping Gain knowledge about the Seven Rights of administering medication Safe Handling of Medicines Course Overview This comprehensive Safe Handling of Medicines Course is designed to equip you with the principles of safe handling, administration and storage of medicines. It covers the key legislations that govern the safe handling of medicines and the roles and responsibilities of the people involved including the basic terminology used when handling medicines. This course will help you assess the importance of policies for record-keeping, label interpretation and the seven rights of medication administration. The NHS makes hundreds of millions of prescribing errors and mix-ups which contribute to as many as 22,300 deaths a year, according to a major report commissioned by the Government. In addition to that, medication errors in the home are estimated to occur at rates between 2%-33% according to Patient Safety Network, 2018. Therefore, obtaining knowledge about the safe handling of medicines is indeed very crucial because even the most harmless medicines can cause side effects if taken incorrectly or in combination with other medications. Upon successful completion of this course, you will be able to safely handle both harmless and hazardous medicines at home and reduce the likelihood of medication side effects. Who should take this course? This Safe Handling of Medicines Course is aimed at: Health and social care staff Care assistants Home caregivers Hospital staff Locum doctors and nurses Employees and employers of company that manufactures or handles medicine Whether you are a healthcare professional looking to gain extensive knowledge about safe medicine handling to ensure the safety of your patients or simply looking to implement such safety precautions at home, this course will set you up with the appropriate credentials to understand the importance of the safe handling of medicines and its impact on a person's health. Entry Requirements There are no academic entry requirements for this Safe Handling of Medicines Course Online course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This Safe Handling of Medicines Course assesses learners through multiple choice questions (MCQs). Upon successful completion of each module, learners must answer MCQs to step into the next module. Through the MCQs it is measured how much a learner could grasp from each section. In the assessment pass mark is 75%. Course Curriculum Module 1: Introduction to the course Module 2: Terminology explained Module 3: The roles of those involved, legislation and licensing Module 4: Groups of medicines Module 5: Levels of support and routes of Module 6: Infection Control and equipment for dispensing Module 7: Label interpretation, record keeping and The Seven Rights Recognised Accreditation CPD Certification Service 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. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35.   FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

This video course takes you through the basic and advanced concepts of penetration testing. From setting up your own virtual lab to developing brute force attacking tools using Python, you'll learn it all with the help of engaging activities.

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Register on the Forensic Anthropology : Skeletal Analysis 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 Forensic Anthropology : Skeletal Analysis 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 Forensic Anthropology : Skeletal Analysis 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 Forensic Anthropology : Skeletal Analysis, 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: Course outline Course outline 00:05:00 Section 02: The field of Anthropology What is Anthropology? 00:01:00 Introduction to Anthropology 01:00:00 Section 03: Forensic Anthropology Forensic Anthropology 00:01:00 Role of Forensic Anthropology 01:00:00 Section 04: Human Osteology Human Osteology 00:01:00 Supplemental bone identification video lecture 00:02:00 Section 05: Comparative Osteology Comparative Osteology 02:00:00 Supplemental comparative osteology video lecture 00:04:00 Section 06: Estimation of sex from skeletal remains Estimating sex from skeletal elements 00:05:00 Estimating sex from human remains PowerPoint 02:00:00 Section 07: Estimating age at death from skeletal remains Estimating age at death from skeletal remains 00:01:00 Estimate age at death PowerPoint 02:00:00 Supplemental age estimation video lecture 00:04:00 Supplemental age estimation video lecture number 2 00:02:00 Section 08: Estimating stature, BMI, and MNI Estimating Stature, BMI, and MNI 00:01:00 Estimating stature, BMI, and MNI PowerPoint 00:10:00 Section 09: Estimating ancestral affiliation Estimating ancestry 00:02:00 Estimating ancestry PowerPoint 01:00:00 Supplemental ancestry estimation video lecture 00:04:00 Section 10: Analyzing bones for trauma Analyzing trauma 00:01:00 How does trauma present on the skeleton; Projectile trauma 03:00:00 Sharp force trauma 00:20:00 Blunt force trauma 00:20:00 Supplemental trauma analysis video lecture 00:05:00 Section 11: Writing it up! Writing it up! How to produce a professional report 00:01:00 Writing it up PowerPoint presentation 00:15:00 Section 12: Ethical Considerations Ethical considerations 00:01:00 Physical anthropology code of ethics 00:20:00 Forensic anthropology code of ethics 00:05:00 Ethical code for human rights work 05:00:00 Section 13: Exercise Answers Sex estimation exercise key 00:10:00 Age estimation exercise key 00:05:00 Ancestry estimation exercise key 00:05:00 Bone identification exercise key 00:05:00 Trauma exercise key 00:10:00 Section 14: Textbooks Supplemental textbook recommendations video 00:02:00 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.

Overview This course will define the scope of work, project goal, project plan, project phase, sequencing and phase relationship Project Planning & Budgeting will provide participants with a demonstrated set of methods, processes, tools and techniques to cultivate a systematic and dynamic project plan to certify progressive monitoring control and reporting of the project cost.

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