1936 Credit courses

Achieving Sales on the Telephone Certification If you have employees who work in telesales and want to enhance their knowledge or advance their career, the Achieving Sales on the Telephone Certification course is an excellent choice. This course is presented in a detailed and engaging manner, providing comprehensive information, practical tips, and useful tools. It is completely structured to allow learners to proceed at their own pace. After completing the course, your colleagues will have acquired the necessary skills to succeed in telesales and increase sales and customer satisfaction for your business.   What's Covered in the Course? Both the student and your business will profit by abilities in the accompanying zones: What telesales is, the thing that has the effect among fruitful and inadequate telesales and the individual credits and abilities that you need, to be compelling, when selling via telephone Direction on client needs and prerequisites, what their inspirations are, when settling on buying choices, and how to gain by this, to make deals progress The significance of relational abilities and how to utilize such abilities with clients, including making your very own correspondence style What neuro-phonetic writing computer programs is and how it can uphold the telesales calling The significance of having a strong information on the items and administrations that are being sold, when working in a telesales job Manners by which to construct a decent affinity with clients and tips on conquering client concerns and grumblings, to make trust and gain rehash business Tips on the best way to adequately bring a deal to a close and keep the client returning to your business. What are the Benefits of the Course? Here are a portion of the advantages that the colleague and your business can anticipate from taking this course: Obtaining of an extensive information about telesales and how to make progress in the field Obviously organized, simple to-follow online modules, which can be learned at the representative's own speed and close by their present part, with no time limits on finishing them A various decision test toward the finish of the course, which prompts accreditation with an industry-perceived certificate, which is ideal for the individuals who wish to advance their profession in telesales

Clinical Secretary Certification For somebody who appreciates working in a clinical climate, has great hierarchical and time the board abilities and a mindful and radiant demeanor, the Medical Secretarial Certification course will give the ideal blend of particular abilities. Liable for making patient arrangements, keeping up specialists' timetables and meeting and hello patients in the specialists' medical procedures, the clinical secretary is a fundamental connection in the pattern of patient consideration. What's Covered in the Course? This course gives the information and understanding that a clinical secretary needs, to give the proper degree of help. It incorporates: The day by day obligations of a clinical secretary: the work profile and the credits required; Step by step instructions to oversee arrangement appointments, why booking is significant and setting updates; The documenting frameworks utilized in clinical practices and setting up a successful recording framework; The significance of patient secrecy and patient protection; The reason, advantages and the executives of precise and complete clinical records; Clinical language and wording; Data innovation utilized in the clinical calling, essential PC use, electronic remedies and patient enrollments; Support and capacity of clinical records; Wellbeing and security in the work environment; Clinical supplies and stock administration; Relational abilities for a successful clinical secretary; Lawful and moral issues in clinical practice; (Clinical) coding, charging and significant parts of clinical organization; Profession data and possibilities. What are the Benefits of the Course? Particular clinical secretarial abilities that are work explicit; The clinical secretary endorsement is contemplated web based utilizing any gadget (PC, PC, tablet or cell phone) with admittance to the web, empowering the staff part to concentrate from anyplace, whenever and at their own speed - there are no timetables or cutoff times. When the understudy is fulfilled that they have dominated the course material, they will finish a various decision test and, after passing it, will actually want to promptly download and print out the course authentication. All declarations are certain by businesses who can visit the course site and type in the authentication number, in to affirm the understudy's status. Simple to-learn and oversee modules, containing extensive data; Admittance to online help during the course and lifetime admittance to modules, so they can be alluded to sometime in the not too distant future.

Activities Management Certification Level 2 Separated into 10 exhaustive and simple to-follow modules, this course covers all that a worker requires to know in regards to activities the board. Beginning with an overall prologue to tasks the board, every module gives the specialized and administrative information and abilities important, to advance in the calling. The course is intended for individuals previously filling in as a tasks supervisor, just as the individuals who have been recognized as having the capacity to work in this field. It is especially valuable for the individuals who include past experience inside tasks and wish to move into the board. Notwithstanding, the course doesn't need past information or involvement with the area. What's Covered in the Course? A prologue to activities the board, its motivation and key standards, just as an assessment of what effective tasks the executives resembles; The specialized abilities and individual credits that you need, to turn into a decent activities administrator and how to build up your profession in the field; A meaning of production network the board and explicit data identifying with the spaces of buying and stock administration; The jobs of item advancement, plan, dissemination and showcasing in production network the executives; Instructions to guarantee quality across the various periods of activities the executives - quality principles and managing legitimate guidelines; The equals between activities the executives and task the board and the utilization of new venture systems, like Six Sigma, lean creation and consistent improvement; Viable strategies for overseeing individuals - workers, workers for hire and providers - and your lawful duties towards these gatherings; The monetary part of activities the board - cost the executives and cost decrease all through the association, in addition to a functioning information on basic monetary archives, like financial plans, accounting reports and resource registers; The significance of maintainability and harmless to the ecosystem activities and how tasks the executives can uphold this territory; Instructions to draw up a strong corporate social obligation methodology for the association; Regular explanations behind questions and manners by which to keep away from and resolve struggle. What are the Benefits of the Course? The course gives information and abilities explicit to the tasks/creation climate; Colleagues can concentrate from home, on any gadget (PC, PC, tablet or advanced mobile phone) or anyplace with a web association; The capacity to learn at a speed that is agreeable for the student and the association - there is no time limit for this course, and students may finish the course, without it meddling with their work obligations.

Gathering Skills Certification The Receptionist assumes an essential part in making a positive initial feeling in any association. Great individual prepping and solid relational abilities are two credits, however this job normally consolidates various office capacities, requiring information, abilities and preparing. Performed ably, the job frequently prompts acknowledgment and advancement to places of more prominent duty. Involving 17 simple to-follow modules, the Reception Skills Certification course is intended to cover each part of being a secretary, including the assignments that an assistant should achieve, managing individuals, the business climate and the significance of prevalent verbal and composed relational abilities. What's Covered in the Course? The modules start by recognizing the various sorts of secretary and how their jobs vary. Colleagues will invest energy finding out about relational abilities, with specific accentuation on the craft of chatting on the phone and how to leave messages. Proficient and viable correspondence is a critical expertise for the assistant. The equipped assistant will figure out how to utilize a data set, as the extra room for the data that they need to monitor, just as how to make appointments and reservations (travel, inn, eatery, meeting, and so forth), which normally frames a vital piece of the work. Great hierarchical and authoritative abilities are significant viewpoints, just like the occasionally ignored lawful obligations of the job - from classification of data to wellbeing and security issues. The secretary will figure out how to run the banquet room in an expert way and how to assist their own profession with creating, from assistant to the more capable managerial positions. The course finishes with modules on collaboration - the secretary can't perform adequately, without the help of others - and the job of innovation, in giving them the instruments that they need, to manage their work. The colleague will learn: The critical jobs of a secretary; Step by step instructions to run the banquet room; Step by step instructions to successfully convey; Step by step instructions to manage organization; Step by step instructions to be a cooperative person; Step by step instructions to utilize innovation for their potential benefit; Step by step instructions to deal with data sets; Step by step instructions to make appointments and reservations; Authoritative abilities. What are the Benefits of the Course? An equipped and expert forefront presence; Simple to-follow modules, beginning to end; The capacity to work through the modules at the student's own speed and in the solace of their home; An industry-perceived testament, with full online help during the course.

Overview of ChatGPT for Marketing and Productivity with AI Tools Visualise a world where artificial intelligence drives your marketing initiatives and AI tools revolutionise your business productivity. That's no longer just a fantasy; it's a reality you can be part of with our ChatGPT for Marketing and Productivity with AI Tools course. This industry has witnessed an explosion of opportunities, where those equipped with the knowledge to harness the power of artificial intelligence in marketing and productivity are at a significant advantage. Join us and become well-versed in using ChatGPT, one of the most sophisticated AI tools available. Learn how to seamlessly integrate Artificial Intelligence (AI) into your marketing strategies and enhance your productivity using AI tools. With this course, you are following the trend and becoming a trendsetter in the Artificial Intelligence (AI) marketing and productivity landscape. Join us and leap into the future with ChatGPT. This ChatGPT for Marketing and Productivity with AI Tools Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this ChatGPT for Marketing and Productivity with AI Tools. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the ChatGPT for Marketing and Productivity with AI Tools course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This ChatGPT for Marketing and Productivity with AI Tools is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the ChatGPT for Marketing and Productivity with AI Tools course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this ChatGPT for Marketing and Productivity with AI Tools Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Section 01: The AI Marketing Playbook Unit 01: Start an Account with ChatGPT 00:02:00 Unit 02: What the Company OpenAI Say About Itself 00:02:00 Unit 03: What OpenAI Say About The Limitations of the Chatbot 00:02:00 Unit 04: Chatbot Prompt Examples Given By Open AI 00:02:00 Unit 05: Will Chat GPT Be a Paid Application 00:01:00 Unit 06: Chat GPT Idea Generation 00:02:00 Unit 07: Chat GPT - Idea Qualification and Accuracy 00:03:00 Unit 08: ChatGPT - Accuracy and Citations 00:02:00 Unit 09: Chat GPT - Creating HTML Instances 00:01:00 Unit 10: Chat GPT - How to Solve Specific Business Problems 00:02:00 Unit 11: Chat GPT - Statistical Verification of Information 00:01:00 Unit 12: Chat GPT - Rewrite Content for Different Contexts 00:02:00 Unit 13: ChatGPT - Content Checked With AI 00:02:00 Unit 14: ChatGPT - Simplifying Information 00:01:00 Unit 15: ChatGPT - How to Ask the Chatbot about Context 00:01:00 Unit 16: ChatGPT - How to Cross-Post Queries 00:01:00 Unit 17: ChatGPT - How to Narrow Down the Context of Your Query 00:02:00 Unit 18: ChatGPT - How to Solve a Business Process 00:02:00 Unit 19: ChatGPT - Developing a Methodology From Experts 00:01:00 Unit 20: The Future of ChatGPT 00:01:00 Section 02: How to Use ChatGPT and AI for Marketing Unit 01: Autonous AI Agents 00:01:00 Unit 02: Connecting to Open AI 00:01:00 Unit 03: Getting an OpenAI Key 00:01:00 Unit 04: Agent GPT - Autonomous AI 00:02:00 Unit 05: GoalGPT - Autonomous Agents 00:01:00 Unit 06: Cognosis - Autonomous AI 00:02:00 Unit 07: Aomni - Autonomous Agent 00:01:00 Unit 08: Durable - Build a Website with AI 00:01:00 Unit 09: Eightify Summaries 00:02:00 Unit 10: Genei - Do Higher Quality Research with AI 00:01:00 Unit 11: Ellicit - Do Higher Quality Research with AI 00:01:00 Unit 12: Inciteful - Do Higher Quality Research with AI 00:02:00 Unit 13: SciteAI Determine the Credibility of Your Research 00:01:00 Unit 14: Eleven Labs - Voice Cloning 00:02:00 Unit 15: AgentGPT - Wrap Up and Return 00:01:00 Unit 16: Cognosys - Wrap Up and Return 00:01:00 Unit 17: Aomni - Wrap Up and Return 00:01:00 Unit 18: Goal GPT - Wrap Up and Return 00:01:00 Unit 19: Uploading Research Reports to Summarization Applications 00:01:00 Unit 20: Perspective on The Future of AI 00:01:00 Section 03: Productivity with AI Tools Unit 01: Meta Search Sites 00:02:00 Unit 02: SMMRY for Summarzing 00:01:00 Unit 03: ChatGPT Plugins Waitlist 00:01:00 Unit 04: Using Microsoft Bing Search 00:02:00 Unit 04: Using Microsoft Bing Search 00:02:00 Unit 06: Microsoft Word Speech To Text 00:01:00 Unit 07: Transcribe Audio in Microsoft Word 00:02:00 Unit 08: Speechify 00:02:00 Unit 09: Exact Image Creation 00:01:00 Unit 10: AI Design Tools 00:02:00 Unit 11: Learn How to Prompt 00:01:00 Unit 12: Content Improvement 00:01:00 Unit 13: Idea Generation 00:01:00 Unit 14: Audio Enhancement with Adobe 00:02:00 Unit 15: Clean up Audio With Cleaanvoice 00:01:00 Unit 16: Notion-AI 00:01:00 Unit 17: Pictory 00:01:00 Unit 18: Lex 00:01:00 Unit 19: ChatPDF 00:01:00 Unit 20: Conclusion and the Future of Generatie AI - Searchie 00:01:00

Overview of Addiction and Mental Health - Dual Diagnosis Join our Addiction and Mental Health - Dual Diagnosis course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Addiction and Mental Health - Dual Diagnosis course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Addiction and Mental Health - Dual Diagnosis course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Addiction and Mental Health - Dual Diagnosis Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Addiction and Mental Health - Dual Diagnosis. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Addiction and Mental Health - Dual Diagnosis course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Addiction and Mental Health - Dual Diagnosis is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Addiction and Mental Health - Dual Diagnosis course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Addiction and Mental Health - Dual Diagnosis Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Promotional Video Promotional 5 minute video 00:06:00 SAMHI Dual Diagnosis Intro video SAMHI Dual Diagnosis Intro video and downloadable worksheet PowerPoint slides 00:04:00 Module 1 - Drugs and Effects Module 1 - Drugs and Effects: VIDEO PART 1 (content part 1 - 4) 00:16:00 Module 1 - Drugs and Effects: VIDEO PART 2 (content part 5 - 6) 00:19:00 Module 1 - Drugs and Effects: VIDEO PART 3 (content part 7 - 8) 00:20:00 Module 1 - Drugs and Effects: VIDEO PART 4 (content part 9) 00:15:00 Module 1 - Drugs and Effects: VIDEO PART 5 (content part 10) 00:10:00 Module 1 - Drugs and Effects: VIDEO PART 6 (content 10 - 12) 00:18:00 Module 1 - Drugs and Effects: VIDEO PART 7 (content part 13) 00:13:00 Module 1 - Drugs and Effects: VIDEO PART 8 (content part 14) 00:20:00 Module 1 - Drugs and Effects: VIDEO PART 9 (content part 14) 00:20:00 Module 1 - Drugs and Effects: VIDEO PART 10 (content part 15 - 18) 00:19:00 Module 2 - Addictions & Mental Health Module 2 Addictions & Mental Health: VIDEO PART 1 content part 1 - 2 00:16:00 Module 2 Addictions & Mental Health: VIDEO PART 2 content part 3 - 5 00:18:00 Module 2 Addictions & Mental Health: VIDEO PART 3 content part 6 - 7 00:13:00 Module 2 Addictions & Mental Health: VIDEO PART 4 content part 00:17:00 Module 2 Addictions & Mental Health: VIDEO PART 5 content part 00:18:00 Module 2 Addictions & Mental Health: VIDEO PART 6 content part 00:20:00 Module 2 Addictions & Mental Health: VIDEO PART 7 content part 00:14:00 Module 2 Addictions & Mental Health: VIDEO PART 8 content part 00:12:00 Module 2 Addictions & Mental Health: VIDEO PART 9 content part 00:20:00 Module 2 Addictions & Mental Health: VIDEO PART 10 content part 00:13:00 Module 3 - Harm Minimisation & Optimal Health Module 3 Harm Minimisation & Optimal Health VIDEO PART 1 content part 00:23:00 Module 3 Harm Minimisation & Optimal Health VIDEO PART 2 content part 00:17:00 Module 3 Harm Minimisation & Optimal Health VIDEO PART 3 content part 00:09:00 Module 3 Harm Minimisation & Optimal Health VIDEO PART 4 content part 00:18:00 Module 3 Harm Minimisation & Optimal Health VIDEO PART 5 content part 00:17:00 Module 3 Harm Minimisation & Optimal Health VIDEO PART 1 content part 6 00:11:00 Module 3 Harm Minimisation & Optimal Health VIDEO PART 7 content part 7 00:12:00 Module 4 - Brain Works - Neurophysiology Module 4 Brain Works - Neurophysiology 00:17:00 Module 4 Brain Works - Neurophysiology VIDEO PART 1 content part 00:10:00 Module 4 Brain Works - Neurophysiology VIDEO PART 2 content part 00:17:00 Module 4 Brain Works - Neurophysiology VIDEO PART 3 content part 00:19:00 Module 4 Brain Works - Neurophysiology VIDEO PART 4 content part 00:16:00 Module 4 Brain Works - Neurophysiology VIDEO PART 5 content part 00:11:00 Module 5 - Trauma Model & Keys to Treatment Module 5 Trauma Model & Keys to Treatment VIDEO PART 1 content part 1 - 2a - 2f 00:20:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 2 content part 2g 00:15:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 3 content part 2h - 2i 00:15:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 4 content part 3 00:13:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 5 content part 4 00:12:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 6 content part 5 - 7 00:18:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 7 content part 8 00:17:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 7 content partVIDEO PART 8 00:16:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 9 content part 11 00:16:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 10 content part 12 00:19:00 Module 6 - Brief & Early Intervention and Tripod of Support Module 6 Brief & Early Intervention and Tripod of Support VIDEO 1 content part 1 00:18:00 Module 6 Brief & Early Intervention and Tripod of Support VIDEO 2 content part 2 00:20:00 Resources - Addiction & Mental Health (Dual Diagnosis) Integrative 12hrs Resources - Addiction & Mental Health (Dual Diagnosis) Integrative 12hrs 00:00:00

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

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