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Discover the power of data science and machine learning with Python! Learn essential techniques, algorithms, and tools to analyze data, build predictive models, and unlock insights. Dive into hands-on projects, from data manipulation to advanced machine learning applications. Elevate your skills and unleash the potential of Python for data-driven decision-making.

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join 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? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. 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 And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 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: 00:04:00 •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: 00:06:00 •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

Properly employed and supported, TRiM Practitioners can make a significant contribution to staff welfare by offering structured peer support and TRiM assessments to colleagues. TRiM practitioners are trained to identify the risk factors for the development of post traumatic stress and to know when to signpost colleagues to professional support.

Level 2 HACCP RSPH Training Course

How to Select and Apply the Right Leadership Style for Every Situation

If you are new to studio photography and want to learn some of the latest lighting techniques used by professional studio photographers, then you are in the right place! This course will help you to develop a personal style and confidence with technique and skills. With this course, you will go through step by step lessons and gain a broad introduction to creative photography and explore the basic rules of composition and style of lighting. This comprehensive course covers everything that you should know from setting up a studio, know your camera, master the digital techniques, explore the background to different genres. You will also discover the core principles of composition and understand different studio concepts and patterns, colour and black and white photography, etc. Learning Outcomes: Master camera skills and exposure control to create compelling portraits. Gain a firm understanding of lighting techniques including studio lighting. Learn about project development and get creative ideas. Improve your knowledge of digital image manipulation and editing. Determine the fundamental laws of composition. Master the art of Portrait Photography, Visual Language Of Photography, and Studio Photography. Learn the classic studio lighting techniques used In-Studio Photography. Gain a brief history of photography Get led by field experts and delve deeper into portrait photography. Who is this Course for? Creative Photography - Photography Composition & Portrait Photography Masterclass is perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum A Brief History of Photography Is It Art 00:08:00 A Brief History Of Photography 00:06:00 The Great Debate 00:09:00 Activities 00:02:00 The Art Of Seeing Introduction 00:01:00 The Ordered Universe 00:08:00 Beauty Detector 00:04:00 Let There Be Light 00:07:00 The Photographer's Playground 00:11:00 Activities 00:01:00 Seeing The Light Introduction 00:01:00 Seeing The Light 00:05:00 Hard Light 00:09:00 Soft Light 00:09:00 Colour Temperature 00:03:00 Activities 00:01:00 Controlling The Light Introduction 00:01:00 Working The Scene 00:02:00 Moving Your Feet 00:08:00 Moving Your Subject 00:07:00 Move Your Light 00:07:00 Activities 00:01:00 Capturing The Light Introduction 00:01:00 Your Camera 00:18:00 The Three Levers 00:11:00 ISO 00:05:00 The Shutter 00:07:00 The Aperture 00:13:00 Activities 00:01:00 Processing The Light Introduction 00:01:00 The Digital Darkroom 00:10:00 Lightroom Edit 00:10:00 Snapseed Edit 00:07:00 Activities 00:01:00 The Core Principles Of Composition Introduction 00:01:00 The Language Of Composition 00:02:00 The Subject 00:08:00 The Environment 00:06:00 Leading The Eye 00:04:00 Evoking Emotion 00:05:00 Symmetry 00:06:00 Activities 00:01:00 The Basic Rules Of Composition Introduction 00:01:00 The Rule Of Thirds 00:09:00 Leading Lines 00:07:00 The Highest Point Of Contrast 00:13:00 Activities 00:01:00 Color Photography Introduction 00:01:00 Adventures In Color 00:06:00 Hue, Saturation, Luminosity 00:03:00 The Color Wheel 00:12:00 Working With Color 00:10:00 Simple Color Edit 00:09:00 Activities 00:01:00 Black And White Photography Introduction 00:01:00 Why Black And White 00:04:00 King Luminosity 00:04:00 A Zone System 00:05:00 Seeing In Black And White 00:06:00 A Simple Black And White Edit 00:07:00 Activities 00:01:00 Controlling The Frame Introduction 00:01:00 In The Frame 00:14:00 Isolating The Subject 00:08:00 Negative Space 00:05:00 Framing Your Subject 00:07:00 Abstract And Geometric Composition Introduction 00:01:00 Abstract Images 00:06:00 Seeing Like An Architect 00:06:00 Strong Visual Elements 00:09:00 Activities 00:01:00 Creative Portraiture Introduction 00:01:00 The In Between Moments 00:05:00 The Eyes 00:08:00 Body Language And Gesture 00:12:00 Activities 00:01:00 Finding Yourself As A Photographer Introduction To Finding Yourself As A Photographer 00:01:00 Creating An Image 00:07:00 Creating A Style 00:08:00 Creating A Series 00:02:00 Creating A Body Of Work 00:03:00 Sharing Your Work 00:06:00 Natural Light Portrait Photography Introduction To Natural Light Portrait Photography 00:01:00 Finding Your Light 00:03:00 Hard Light And Soft Light - A Recap Of The Basics 00:05:00 Outside Soft Light 00:09:00 Inside Soft Light 00:08:00 Outside Hard Light 00:14:00 Inside Hard Light 00:08:00 Finding Your Background - Simple Backgrounds 00:04:00 Finding Your Background - Complex Backgrounds 00:06:00 Posing Your Subject - A Refresher 00:04:00 Projects For Natural Light Photography 00:01:00 Building A Home Based Portrait Studio On A Budget Introduction To Home Based Photography Studio 00:01:00 Finding Your Studio Location 00:06:00 Camera Choices 00:05:00 Lens Choices 00:02:00 Equipment List 00:09:00 Additional Studio Equipment 00:05:00 Basic Studio Lighting Set Up 00:06:00 Finding Clients For Your Business 00:06:00 Recording Your Floor Plans 00:01:00 Dealing With The Public 00:03:00 Activities For Home Based Photography Studio 00:01:00 Classic Studio Portrait Photography Introduction To Classic Studio Portrait Photography 00:01:00 Open Loop Lighting 00:05:00 Closed Loop Lighting 00:05:00 Butterfly Lighting 00:06:00 Split Lighting 00:06:00 Short Lighting 00:04:00 Broad Lighting 00:03:00 Rembrandt Lighting 00:07:00 Studio Backdrops 00:03:00 Preparing The Subject 00:06:00 Choosing The Facial Angle 00:07:00 Posing The Body 00:05:00 Body Poses And Posture 00:03:00 Body Poses - The Light Pose For Males 00:04:00 Body Poses - The Shadow Pose For Females 00:04:00 Group Shots - Basic Core Principles 00:03:00 Couples Shots - Basic Core Principles 00:10:00 Black And White Portrait Tips - A Refresher 00:01:00 Lens Choices In The Studio 00:01:00 Classic Studio Course Activities 00:01:00 Modern Studio Portrait Photography Introduction to Modern Studio Portrait Photography 00:01:00 Studio Lighting Buying Tips 00:03:00 Strobe Modifers Explained 00:05:00 Standard One Light Techniques 00:09:00 Non Standard One Light Techniques 00:08:00 Two Light Techniques 00:07:00 Three Light Techniques 00:08:00 Four Light Techniques 00:08:00 Hollywood Lighting- Advanced Lighting 00:08:00 Modern Studio Photography Activities 00:01:00 Resources Resources - Creative Photography - Photography Composition & Portrait Photography Masterclass 00:00:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

This course introduces you to the paradigm and features of object-oriented programming using Java, an object-oriented language popular in the industry and IntelliJ. The course entails modeling objects and classes, object-oriented facilities like inheritance and polymorphism, native data structures, exception handling, file management, and streams.

This course is perfect for quality assurance professionals who want to step into automation testing with Cypress. You will learn Cypress from scratch and become a specialist in building a solid Cypress automation framework to test any real-world web application.

This course provides the delegate with the theoretical and practical skills to undertake non-licensed works with ACM's. Persons requiring this type of training would include trade operatives undertaking tasks with ACM's as defined in HSG210 and in accordance with CAR 2012 Reg 3(2). In addition to the Asbestos Awareness, those employees whose work will knowingly disturb ACMs, and which is defined as non-licensable work or NNLW, should receive additional task-specific information, instruction and training.

Statistics show that 1 in 5 women have been sexually assaulted but sadly we know the real number is much higher than that. From teaching thousands of women in self defence, we know that most women have experienced either an assault, an attack, stalking, unwanted attention or physical or emotional abuse from a partner. This is not acceptable. Taking the time to learn about self defence of the body and the mind will give you the knowledge and the power to avoid becoming part of these statistics.