2333 Courses

Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Gain the skills and credentials to kickstart a successful career in the technology industry and learn from the

Unlock the secrets of human interaction with the captivating course "Science of Body Language and Understanding People." Delve into the realm of non-verbal communication and the art of decoding subtle cues that can reveal the true thoughts and feelings of individuals. Embark on this journey of discovery and unravel the hidden messages that lie beneath every interaction. Learning Outcomes: Develop a solid understanding of the basics of body language and its significance in communication. Acquire the skills to interpret non-verbal cues and gestures accurately, enhancing your ability to understand people. Gain insights into the science of body language related to the head, hands, and various parts of the body. Explore the connection between body language and personality traits, enabling you to analyse individuals more effectively. Understand the implications of digital body language in the era of virtual communication and remote interactions. Learn techniques to use body language effectively, whether in professional or personal settings, to establish rapport and influence others positively. The course "Science of Body Language and Understanding People'' delves into the intricate world of non-verbal communication, offering a comprehensive exploration of the science behind body language. Through an engaging curriculum, you will unlock the secrets of interpreting subtle cues and gestures, gaining a deeper understanding of human behaviour and communication patterns. From the tilt of a head to the movements of hands and body, you will learn to decipher the hidden messages that lie within. By the end of the course, you will possess a solid foundation in the basics of body language and non-verbal communication. You will have the skills to accurately interpret various cues and gestures, enhancing your ability to understand people on a deeper level. With insights into the science of body language related to different body parts, you will gain a holistic perspective on human behaviour. Additionally, you will explore the fascinating realm of digital body language and learn practical techniques to use body language effectively in various contexts, whether it be for building connections, negotiating, or influencing others positively. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in human behaviour, psychology, and communication. Professionals in fields such as sales, marketing, leadership, and HR seek to enhance their understanding of people and improve interpersonal skills. Coaches, therapists, and counsellors aiming to deepen their insights into their clients' non-verbal communication. Job seekers looking to enhance their interview skills and make a positive impression through body language. Public speakers and presenters seek to exude confidence and connect with their audience effectively. Anyone fascinated by the intricacies of human interaction and eager to develop their ability to understand and connect with people. Career path Body Language Consultant: £30,000 - £50,000 per year Communication Specialist: £25,000 - £40,000 per year Human Resources Manager: £35,000 - £60,000 per year Sales Representative: £20,000 - £40,000 per year Leadership Coach: £30,000 - £60,000 per year Public Speaker: £25,000 - £50,000 per year

Overview This comprehensive course on Engine Lubricant System Training - Level 4 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Engine Lubricant System Training - Level 4 comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Engine Lubricant System Training - Level 4. It is available to all students, of all academic backgrounds. Requirements Our Engine Lubricant System Training - Level 4 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 5 sections • 9 lectures • 01:07:00 total length •Introduction: 00:01:00 •Contents: 00:10:00 •Oil Filters and Types: 00:09:00 •Lube Oil Coolers & Types: 00:09:00 •Basic Working of the Lubrication System: 00:07:00 •Properties and Additives: 00:14:00 •Designations of Lube Oils: 00:05:00 •Oil Analysis and Interpretation: 00:07:00 •Lubricating Circuit Problems: 00:05:00

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

HR Management: HR Management Training Online Learn to Ensure a positive work environment by nurturing and supporting employees with our HR Management: HR Management course. Are you prepared to advance in your HR profession with this HR Management course? Get information and abilities from the HR Management: HR Management course that will enable you to strategically implement HR initiatives. The organisation and its personnel will both be guided toward long-term success by our HR Management: HR Management course. Each HR management class breaks down in different HR management topics and offers comprehensive advice that will enhance your HR management skills. Throughout this HR Management: HR Management course, you'll discover what it actually means to work in human resources management. Also, you will learn fresh methods for addressing conflicts at work in our HR Management: HR Management course. Studying HR Management: HR Management may teach you about crucial HR topics including diversity and inclusion, payroll, and recruitment. You will learn how to think critically as a professional by taking this HR Management: HR Management course. You will learn all you require in this HR Management course to advance your profession. After finishing the HR Management: HR Management course, you will have the abilities and information necessary to advance into positions with greater influence over decision-making. HR Management: HR Management course Aimed at seasoned HR professionals, HR Management to make experts with specialised modules that will let you investigate particular HR fields with which you want to identify yourself. So, don't lose time, enrol now to enhance your expertise with our specialised HR Management: HR Management course. Main Course: HR Management Training Special Offers of this HR Management: HR Management Training Course This HR Management: HR Management Course includes a FREE PDF Certificate. Lifetime access to this HR Management: HR Management Course Instant access to this HR Management: HR Management Course Get FREE Tutor Support to this HR Management: HR Management Training Course HR Management: HR Management Training Strategic planning, staffing, recruitment and selection, performance management, training, and compensation are just a few of the organizational behavior and human resource (HR) topics covered in this HR Management: HR Management Course. With a focus on the most crucial subjects, our HR Management: HR Management Course guarantees that you will develop into an efficient HR Manager for your business and support the HR team appropriately. Who is this course for? HR Management: HR Management Training Those who want to advance in their existing HR Management: HR Management careers or who want to add new levels of expertise to the HR Management department should take this HR Management: HR Management course. Requirements HR Management: HR Management Training To enrol in this HR Management: HR Management Course, students must fulfil the following requirements. To join in our HR Management: HR Management Training Course, you must have a strong command of the English language. To successfully complete our HR Management: HR Management Training Course, you must be vivacious and self driven. To complete our HR Management: HR Management Training Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this HR Management: HR Management Training Course. Career path HR Management: HR Management Training You can open up a number of employment doors by completing this HR Management: HR Management Training Level 3, 5 & 7 course.