4929 Model courses in Nottingham delivered Online

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. 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. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. 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. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Course Introduction Introduction 00:03:00 Part 1: Forecasting Basics of Forecasting 00:05:00 Creating Linear Model with Trendlines 00:08:00 1.1 Getting Data Ready For Regression Model Gathering Business Knowledge 00:03:00 Data Exploration 00:03:00 The Data and the Data Dictionary 00:07:00 Univariate analysis and EDD 00:03:00 Discriptive Data Analytics in Excel 00:10:00 Outlier Treatment 00:04:00 Identifying and Treating Outliers in Excel 00:04:00 Missing Value Imputation 00:03:00 Identifying and Treating missing values in Excel 00:04:00 Variable Transformation in Excel 00:03:00 Dummy variable creation: Handling qualitative data 00:04:00 Dummy Variable Creation in Excel 00:07:00 Correlation Analysis 00:09:00 Creating Correlation Matrix in Excel 00:08:00 1.2 Forecasting Using Regression Model The Problem Statement 00:01:00 Basic Equations and Ordinary Least Squares (OLS) method 00:08:00 Assessing accuracy of predicted coefficients 00:14:00 Assessing Model Accuracy: RSE and R squared 00:07:00 Creating Simple Linear Regression model 00:02:00 Multiple Linear Regression 00:05:00 The F - statistic 00:08:00 Interpreting results of Categorical variables 00:05:00 Creating Multiple Linear Regression model 00:07:00 1.3 Handling Special Events Like Holiday Sales Forecasting in presence of special events 00:02:00 Excel: Running Linear Regression using Solver 00:08:00 Excel: Including the impact of Special Events 00:22:00 1.4 Identifying Seasonality & Trend for Forecasting Models to identify Trend & Seasonality 00:06:00 Excel: Additive model to identify Trend & Seasonality 00:09:00 Excel: Multiplicative model to identify Trend & Seasonality 00:06:00 Market Basket Analysis Market Basket and Lift - Introduction 00:08:00 Named Ranges - Excel 00:10:00 Indirect Function - Excel 00:05:00 2-way lift calculation in Excel 00:11:00 2-way lift calculation - Dynamic 00:07:00 2-way lift data table creation 00:07:00 3-way lift calculation 00:19:00 Store Layout optimization using Lift values 00:15:00 RFM (Recency, Frequency, Monetary) Analysis RFM (recency, frequency, monetary) Analysis 00:08:00 RFM Analysis in Excel- Part 1 00:16:00 RFM Analysis in Excel- Part 2 00:12:00 Part 2: Pricing Part 2: Pricing Steps of setting a Pricing policy 00:03:00 Different Pricing Objectives 00:07:00 2.1 Estimating Demand Estimating Demand 00:07:00 Forms of Demand Curve 00:02:00 Excel: Estimating Linear Demand Curve 00:08:00 Excel: Estimating Power Demand curve with Elasticity 00:05:00 Excel: Estimating Power Demand Curve with points 00:03:00 Subjective Demand curve 00:01:00 Excel: Estimating Subjective Demand Curve 00:02:00 2.3 Evaluating Pricing Strategies Price Bundling 00:07:00 Types of Bundling 00:08:00 The Bundling Problem 00:04:00 Excel: Solving Bundling problem Part 1 00:14:00 Excel: Solving Bundling problem Part 2 00:08:00 Non-Linear Pricing Strategies 00:03:00 Excel: Solving Bundling problem (Price Reversal) 00:08:00 3.1 Lifetime Customer Value Lifetime Customer Value - Key concepts 00:09:00 Lifetime Customer Value - Excel model 00:11:00 3.2 Variations And Sensitivity Analysis Sensitivity Analysis in Excel 00:07:00 Variations in finding customer value 00:07:00 Appendix 1: Excel Crash Course Basics 00:08:00 Worksheet Basics 00:16:00 Entering values and Formulas 00:07:00 Data Handling Basics - Cut, Copy and Paste 00:14:00 Saving and Printing - Basics 00:09:00 Basic Formula Operations 00:13:00 Mathematical Formulas 00:19:00 Textual Formulas 00:17:00 Logical Formulas 00:11:00 Date-Time Formulas 00:07:00 Lookup Formulas ( V Lookup, Hlookup, Index-Match ) 00:08:00 Data Tools 00:19:00 Formatting data and tables 00:18:00 Pivot Tables 00:08:00 Advance Excel- Solver, Data tables 00:15:00 Assessment Assessment - Retail Analytics In Microsoft Excel Diploma 00:10:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

OVERVIEW Prerequisites—DIAD training and Advanced Data Modeling and Shaping training or equivalent working experience This course has been designed specifically for experienced model developers and gives a more advanced treatment of DAX formulas than either DIAD or the PL-300 course. We recommend that attendees have prior experience working with Power BI Desktop to create data models. During this course you will review: Writing DAX formulas. Defining calculated tables and columns. Defining measures. Using DAX iterator functions. Modifying filter context. Using DAX time intelligence functions. After completing this training, the attendees should be able to work with Data Analysis Expressions (DAX), perform calculations and define common business calculations for use in reports, address performance and functionality concerns. COURSE BENEFITS: Understand Analytic queries in Power BI Create calculated tables, calculated columns and measures Use DAX functions and operators to build DAX formulas Use DAX iterator functions Create formulas that manipulate the filter context Use DAX time intelligence functions WHO IS THE COURSE FOR? Analysts with experience of Power BI wishing to develop more advanced formulas in DAX Power BI developers who wish to deepen their understanding of the process of calculating formulas so as to make development faster and more reliable LAB OUTLINE Lab 1 Setup Connect to data and understand the objectives of the future labs Lab 2 Write DAX Formulas For Power BI Create a measure Use variables in the measure definition Lab 3 Add Calculated Table And Columns Duplicate a table Create a hierarchy Create a date table Add calculated columns Lab 4 Add Measures To Power BI Desktop Models Add an implicit measure to a report Add an explicit measure Add a compound measure Add a quick measure Lab 5 Use DAX Iterator Functions In A Power BI Desktop Model Complex summarization Higher grain summarization Create ranking measure Lab 6 Modify DAX Filter Context In Power BI Desktop Models Apply Boolean expression filter Remove filters: use ALL Remove filters: use AllSelected Preserve filters: use KeepFilters HASONEVALUE ISINSCOPE Context transition Lab 7 Use DAX Time Intelligence Functions In Power BI Desktop Models TOTALYTD SAMEPERIODLASTYEAR Calculate new occurrences Snapshot calculations

Disciplined Agile Senior Scrum Master (DASSM): Virtual In-House Training Do you want to take Disciplined Agile® to a new level? Are you looking for tools to solve complex problems and enhance your organization's agility? Do you want to learn how to lead your team to excellence? Expand your knowledge and build practical skills around Disciplined Agile®, business agility, leadership, and team development. Disciplined Agile Senior Scrum Master is a nine-lesson, instructor-led course that shows you how to use the Disciplined Agile tool kit to solve a variety of advanced problems, work with allies within your organization, and optimize how teams work. You will gain knowledge in planning, reporting and metrics, and coordinating activities, as well as how to meet challenges in these areas. And you'll develop the skills you need to foster emotional intelligence, resolve conflicts, and lead high-performance teams at any stage of development. Filled with activities, supplemental reading, and more, this course will prepare you to take the Disciplined Agile Senior Scrum Master (DASSM) exam and, equally important, start using Disciplined Agile immediately within your leadership role. What You Will Learn After the completion of this course, you will be able to: Accelerate your ability to lead high-profile initiatives that are critical to enterprise success Take a deep dive into the Disciplined Agile® tool kit to develop a comprehensive understanding of the hundreds of practices and strategies it contains and the trade-offs of applying them Apply the Disciplined Agile tool kit in hands-on exercises to guide your team in choosing and evolving your best way of working (WoW) in real-life situations Use the tool kit to solve complex challenges commonly encountered in development and operational teams, the value stream, and at the enterprise level Learn how to design and implement metrics that measure your improvements in areas where your teams are struggling Understand how to nurture emotional intelligence Feel confident empowering others on your team(s) Learn how to lead your teams in any situation to improve value delivery for your customers Apply the Disciplined Agile tool kit to guide your team in choosing and evolving the best way of working (WoW) in the situation you face Be prepared to take the Disciplined Agile® Senior Scrum Master (DASSM) exam and earn a valuable, credible certification Roles and responsibilities of DASSM Tuckman Team Development Model Emotional intelligence and why it is essential to team performance Business agility Tactical scaling factors in more complex situations Disciplined DevOps layer 'Test-first' method as it relates to the quality of requirements Scope and purpose of the value stream layer Coordinate activities process goal and why it is important Value creation structure of teams DA™ tool kit to optimize the flow of work and solve challenges related to coordinating and collaborating across teams, or within a larger team of teams Thomas-Kilmann Conflict Resolution Planning Five levels of scope Metrics

Embark on a transformative Python web development journey with this course and dive deep into creating a dynamic book rental system from scratch. Master Django's import-export capabilities, design elegant UI with Tailwind CSS, implement advanced features, and more. Elevate your skills and build real-world applications effortlessly!

Overcoming Anxiety with NLP is a three hour online workshop with Accredited Trainer of NLP and Clinical Hypnotherapist Paul McGowran of proactivenlp.com. During the workshop Paul will take delegates through understanding how to resolve their own anxiety using NLP thinking and techniques. You can live a life without anxiety, sign up now.

Certified Business Relationship Manager (CBRM®): Virtual In-House Training The CBRM® Practitioner Qualification is intended for the intermediate-to-advanced Business Relationship Manager, as it focuses on advancing to the role of Strategic Business Relationship Manager. As such, the primary focus is on strategic business relationship management, leveraged to optimize business value to the enterprise. The purpose of the Practitioner qualification is to confirm whether the candidate has achieved sufficient understanding and competence to perform the role of Strategic Business Relationship Manager. To pursue the CBRM® certification, a candidate must be a certified Business Relationship Management Professional (BRMP®). What You Will Learn The successful candidate will demonstrate deep understanding and ability to perform the Strategic BRM role. Specifically, the candidate will: Effectively communicate the purpose and objectives of the Strategic BRM role and how to optimally position that role for maximum effectiveness within the enterprise Understand how to use their personal power and influence to build business relationships and foster a culture that excels at business value results Apply the Strategic Relationship Management processes and techniques to build and sustain trust relationships spanning Business Partner and Provider networks Be able to assess Business Demand Maturity and Business Relationship Maturity and how these might evolve over time Be able to assess Provider Capability Maturity and BRM Competencies and identify key areas needing improvement Be able to apply cross-organization communication techniques to clearly articulate real Provider / business value delivered to the organization Be able to influence executive leaders in their use of Provider Capabilities and Assets based upon potential business value and convergence with business strategy Promote and catalyze business innovation in the Provider's sphere of influence Be able to use the Business Value Management process, techniques, and metrics to define, realize, and optimize the value of Provider capabilities and assets Apply Business Partner Experience Management so as to foster a positive Business Partner perception of Provider capabilities as an essential element of building and sustaining trust relationships Shape strategic agendas for optimum business value, with due consideration of external compliance requirements and potential risks to the business Understand the implications of Lean / Agile methods for the BRM role and capability Influence the development and deployment of available Provider capabilities based upon business need and potential to enable or create business value. Apply Business Capability Management to determine and acquire enabling capabilities pursuant to strategic outcomes Apply Business Capability Management to determine and acquire enabling capabilities pursuant to strategic outcomes Contribute to Business Transition Management in order to foster organizational understanding, support, adoption, and business value results of investments in new business capabilities Course Introduction Explain the House of BRM, recalling the BRM Core Disciplines, competencies required for the BRM role, and necessary conditions for protecting the integrity of the role Recall the key BRM concepts, processes, and techniques Understand the Business Relationship Maturity Model and the Five Relationship Maturity Levels Understanding Business Relationship Maturity and Value The Strategic BRM Role and Capability BRM Impact on Business Value Introduction to the ACME Leisurewear Case Scenario that is used through the course Assessing BRM Context Clarifying Issues Conducting a Business Demand Maturity Assessment Conducting a Business Relationship Maturity Assessment Conducting a Provider Capability Maturity Assessment Shaping the Business Partner's experience with the Provider The BRM role in Service Management Developing Strategic Relationships How to assess Strategic Relationships and plan for their improvement How to achieve business impact through influence and persuasion How to plan and execute BRM formal communications Organizational considerations for BRM deployment How to determine appropriate BRM performance measurement Optimizing Business Value Formulating and Clarifying Business Strategy Catalyzing Business Innovation Business Capability Management Value Management Planning Portfolio Management Business Transition Planning Business Value Optimization Summary and CBRM Exam Preparation Course Summary CBRM Syllabus Review Format and structure of the CBRM® Practitioner Exam Exam hints and tips Sample Exam

Level 3 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

The Art of Delegation and High-Impact Feedback: Virtual In-House Training Whether you are a project manager, an executive, or simply someone involved in leading or helping others, a critical part of your work must involve delegating and giving feedback. These two skills, however, are not as simple as they seem. How do you know what to Partcipant? What kinds of feedback should you give? Knowing this and practicing this are two different things. Ultimately, delegating and giving feedback are skills that must be done mindfully, strategically, and meaningfully. They must be done in ways that not only positively impact performance, but also inspire growth, engagement, and motivation. When done poorly, they can create significant problems. But when done well, they can generate value for everyone and benefit future endeavors. In this course, you will learn to think more deeply about the importance of delegating and discover how to give better feedback. You will have opportunities to apply best practices and methodologies that you can use in the real world, ultimately paying off for you and for others. What you Will Learn At the end of this program, you will be able to: Explain why common excuses for NOT delegating are short-sighted Identify what needs delegating by using a proven methodology Utilize best practices in real world scenarios, delegating in a way that benefits you and the individual to whom you Partcipant Summarize key lessons learned in brain science which enhance the feedback-giving process Recognize the critical connection between feedback and performance Apply a proven model to deliver feedback that inspires growth, engagement, and motivation Getting Started What is delegation? What makes delegation hard? What do I Partcipant and why? How to Partcipant effectively Feedback Exploring the feedback process Why feedback is hard to give...and receive Why giving feedback effectively is important Feedback models

The Art of Delegation and High-Impact Feedback: In-House Training Whether you are a project manager, an executive, or simply someone involved in leading or helping others, a critical part of your work must involve delegating and giving feedback. These two skills, however, are not as simple as they seem. How do you know what to Partcipant? What kinds of feedback should you give? Knowing this and practicing this are two different things. Ultimately, delegating and giving feedback are skills that must be done mindfully, strategically, and meaningfully. They must be done in ways that not only positively impact performance, but also inspire growth, engagement, and motivation. When done poorly, they can create significant problems. But when done well, they can generate value for everyone and benefit future endeavors. In this course, you will learn to think more deeply about the importance of delegating and discover how to give better feedback. You will have opportunities to apply best practices and methodologies that you can use in the real world, ultimately paying off for you and for others. What you Will Learn At the end of this program, you will be able to: Explain why common excuses for NOT delegating are short-sighted Identify what needs delegating by using a proven methodology Utilize best practices in real world scenarios, delegating in a way that benefits you and the individual to whom you Partcipant Summarize key lessons learned in brain science which enhance the feedback-giving process Recognize the critical connection between feedback and performance Apply a proven model to deliver feedback that inspires growth, engagement, and motivation Getting Started What is delegation? What makes delegation hard? What do I Partcipant and why? How to Partcipant effectively Feedback Exploring the feedback process Why feedback is hard to give...and receive Why giving feedback effectively is important Feedback models

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! 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? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00