7926 Courses

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Do you want to prepare for your dream job but strive hard to find the right Data Scientist and Cybersecurity Engineer courses? Then, stop worrying, for our strategically modified Data Scientist and Cybersecurity Engineer bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our 33 course mega Data Scientist and Cybersecurity Engineer bundle that will exceed your expectations within your budget. The Data Scientist and Cybersecurity Engineer related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then StudyHub proposes a preparatory bundle. This comprehensive Data Scientist and Cybersecurity Engineer bundle will help you build a solid foundation to become a proficient worker in the sector. This Data Scientist and Cybersecurity Engineer Bundle consists of the following 30 CPD Accredited Premium courses - Course 01:Basic Data Analysis Course 02:Excel Data Analysis Course 03:2021 Python Programming From A-Z: Beginner To Expert Course 04:Python Data Science with Numpy, Pandas and Matplotlib Course 05:2021 Data Science & Machine Learning with R from A-Z Course 06:Mastering SQL Programming Course 07:Research Methods in Business Course 08:Cyber Security Incident Handling and Incident Response Course 09:Microsoft Azure 2017 Course 10:AZ-104: Microsoft Azure Administrator Course 11:Microsoft Azure Cloud Concepts Course 12:Advanced Excel Analytics Course 13:Statistics & Probability for Data Science & Machine Learning Course 14:Quick Data Science Approach from Scratch Course 15:R Programming for Data Science Course 16:Learn Python, JavaScript, and Microsoft SQL for Data science Course 17:Google Data Studio: Data Analytics Course 18:Introduction to Excel Data Tools and Data Management Course 19:Microsoft Access Tables and Queries Course 20:Microsoft Access Databases Forms and Reports Course 21:Excel Pivot Tables, Pivot Charts, Slicers, and Timelines Course 22:VLOOKUP: Master Excel Formula VLOOKUP in 60 minutes! Course 23:Excel: Top 50 Microsoft Excel Formulas in 50 Minutes! Course 24:GDPR Course 25:Data Center Training Essentials: General Introduction Course 26:Web Scraping and Mapping Dam Levels in Python and Leaflet Course 27:Microsoft Power BI - Master Power BI in 90 Minutes! Course 28:PowerBI Formulas Course 29:Business Intelligence and Data Mining Course 30:Financial Ratio Analysis for Business Decisions 3 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 01: Career Development Plan Fundamentals Course 02: CV Writing and Job Searching Course 03: Interview Skills: Ace the Interview Learning Outcomes of Data Scientist and Cybersecurity Engineer This tailor-made Data Scientist and Cybersecurity Engineer bundle will allow you to- Uncover your skills and aptitudes to break new ground in the related fields Deep dive into the fundamental knowledge Acquire some hard and soft skills in this area Gain some transferable skills to elevate your performance Maintain good report with your clients and staff Gain necessary office skills and be tech savvy utilising relevant software Keep records of your work and make a report Know the regulations around this area Reinforce your career with specific knowledge of this field Know your legal and ethical responsibility as a professional in the related field This Data Scientist and Cybersecurity Engineer Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Certification After studying the complete Data Scientist and Cybersecurity Engineer training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 330 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Data Scientist and Cybersecurity Engineer bundle! This bundle is also ideal for professionals looking for career advancement. Requirements To participate in this Data Scientist and Cybersecurity Engineer course, all you need is - A smart device A secure internet connection And a keen interest in Data Analysis and Cyber Security Career path Upon completing this essential Data Scientist and Cybersecurity Engineer Bundle, you will discover a new world of endless possibilities. These Data Scientist and Cybersecurity Engineer courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.

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Plus Studyhub's signature Forever Access is given as always, meaning these Supervisor Advanced Diploma courses are yours for as long as you want them once you enrol in this course This Supervisor Advanced Diploma Bundle consists the following career oriented courses: Course 01: Supervisor Training Course 02: Project Management Course 03: Team Building Masterclass Course 04: Time Management Course 05: Conflict Resolution Course 06: Emotional Intelligence and Social Management Diploma Course 07: Diversity Training Course 08: Decision Making and Critical Thinking Online Course Course 09: Employee Engagement and Retention Strategies Course 10: Performance Management Course 11: Coaching and Mentoring Course 12: Change Management Course 13: Strategic Planning and Implementation Course 14: Corporate Social Responsibility Diploma Course 15: Delegation Skills Training Course 16: Stress Management Training Course 17: Negotiation Skills Course 18: Make Business Plans: Forecasting and Budgeting Course 19: Risk Management Course 20: Customer Relationship Management Course 21: Cross-Cultural Awareness Training Diploma Certificate Course 22: Human Resource Management Course 23: Presentation Skills Course 24: Workplace Health, Safety & Laws Course 25: Effective Communication Skills Diploma The Supervisor Advanced Diploma course has been prepared by focusing largely on Supervisor Advanced Diploma career readiness. It has been designed by our Supervisor Advanced Diploma specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners. The Supervisor Advanced Diploma Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Supervisor Advanced Diploma bundle course has been created with twenty-five premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Supervisor Advanced Diploma Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Supervisor Advanced Diploma Elementary modules, allowing our students to grasp each lesson quickly. The Supervisor Advanced Diploma course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. In this exclusive Supervisor Advanced Diploma bundle, you really hit the jackpot. Here's what you get: Step by step Supervisor Advanced Diploma lessons One to one assistance from Supervisor Advanced Diploma professionals if you need it Innovative exams to test your knowledge after the Supervisor Advanced Diploma course 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Supervisor Advanced Diploma courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Supervisor Advanced Diploma certificate and transcript on the next working day Easily learn the Supervisor Advanced Diploma skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Supervisor Advanced Diploma training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Supervisor Advanced Diploma Requirements To participate in this Supervisor Advanced Diploma course, all you need is - A smart device A secure internet connection And a keen interest in Supervisor Advanced Diploma Career path You will be able to kickstart your Supervisor Advanced Diploma career because this course includes various courses as a bonus. This Supervisor Advanced Diploma is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Supervisor Advanced Diploma career opportunities. Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free

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This The Complete Agile Scrum Fundamentals Course Bundle consists of the following 30 CPD Accredited Premium courses - Course 01: Agile Scrum Master Certification Course 02: Agile Project Management Diploma Course 03: Project Management - Planning, Executing, Maintaining and Controlling Course 04: Practical Project Management Course 05: Lean Six Sigma White Belt course Course 06: Six Sigma Green Belt Diploma Course 07: Lean Leadership, Culture and Management - Online Diploma Course 08: Diploma in Lean Process and Six Sigma at QLS Level 5 Course 09: Process Improvement Course 10: Six Sigma Black Belt - Advance Diploma Course 11: Process Mapping: Toolkit Course 12: Optimizing Workspaces: The 5S Lean Methodology in Action Course 13: Advanced Diploma in Quality Management and Strategic Training - ISO 9001 at QLS Level 7 Course 14: Team Management Course 15: Organizational Behaviour, HR and Leadership Course 16: RCA: Root Cause Analysis Course 17: Change Management Course 18: Lean Six Sigma White Belt course Course 19: Optimizing Workspaces: The 5S Lean Methodology in Action Course 20: CSR Policies & Supply Chain Management Course 21: Stakeholder Management Course 22: Fundamentals of Business Analysis Course 23: Organisation & People Management Course 24: Corporate Relationship Goals for Success Course 25: Strategic Business Management - Online Diploma Course Course 26: Business Strategy Planning Course 27: Enterprise Resource Planning (ERP) Course 28: Mastering the Art of Negotiation and Conflict Resolution Course 29: Financial Modelling for Decision Making and Business plan Course 30: Customer Relationship Management 10 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 01: Career Development Plan Fundamentals Course 02: CV Writing and Job Searching Course 03: Interview Skills: Ace the Interview Course 04: Video Job Interview for Job Seekers Course 05: Create a Professional LinkedIn Profile Course 06: Business English and Communication Skills Course 07: Successful Business Networking Skills Course Course 08: Double Your Assertiveness, Confidence & Communication Skills Course 09: Public Speaking: Presentations like a Boss Course 10: Emotional Intelligence: Become EQ Counsellor Learning Outcome This tailor-made The Complete Agile Scrum Fundamentals Course bundle will allow you to- Uncover your skills and aptitudes to break new ground in the related fields Deep dive into the fundamental knowledge Acquire some hard and soft skills in this area Gain some transferable skills to elevate your performance Maintain good report with your clients and staff Gain necessary office skills and be tech savvy utilising relevant software Keep records of your work and make a report Know the regulations around this area Reinforce your career with specific knowledge of this field Know your legal and ethical responsibility as a professional in the related field This The Complete Agile Scrum Fundamentals Course Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Certification After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 400 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Ambitious learners who want to strengthen their CV for their desired job should take advantage of the The Complete Agile Scrum Fundamentals Course bundle! This bundle is also ideal for professionals looking for career advancement also for those who wants to enrol furhter in - Certified Scrum Master Professional Scrum Master Professional Scrum Master II Requirements To participate in this course, all you need is - A smart device A secure internet connection And a keen interest in The Complete Agile Scrum Fundamentals Course Career path Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields. Certificates CPD Certified Digital Certificate Digital certificate - Included CPD Certified Printed Hard Copy Certificate Hard copy certificate - Included For Title Course

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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