371 Forest courses

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

Breathe A day retreat at The Sunhouse: Relax, Let Go & Be at Peace this Autumn Sunday 24th November 10.30am-5pm Price £70 for the whole day A day of Qigong, Forest Bathing, Breathwork & Meditation (includes delicious vegetarian organic soup, seasonal snacks and herbal drinks) Join me for a day retreat in the beauty of the Sunhouse to embrace the season of Autumn and the METAL Element. A wonderful opportunity to take time out and align yourself with the natural flow of energy of the season. At this time of year we focus on our lungs, our breath and our strong and healthy immune system. Just as the leaves are falling from the trees, nature supports us to let go of that which we no longer need and to appreciate that which is of value in our lives. Breath is life, it is the energy or “Qi” that sustains life within every cell. When we breathe well our entire body receives the energy it needs. When we reconnect with our breath we become calm, aware and in control and we can begin to bring balance to our lives and access places of deep peace within. WHATS INCLUDED: – Qigong exercises to support our lungs and strengthen our Qi. Increasing our flow of energy & improving our immunity – Learn The Bird Form a beautiful Qigong form designed to help “transform grief into love” This form has a light, uplifting, energising quality leaving us bright eyed and full of joy. – Forest Bathing in the beautiful woodland taking time to pause and listen to the forest around us, absorbing the healing energy of the trees. – Guided Conscious Connected Breathwork Journey to open our lungs and increase awareness of our breath. Encouraging detoxification of your body, releasing stuck energy and beliefs and resetting your whole nervous system. Giving you the tools to transform and to let go of whatever may be holding you back from living the life you truly want to live. In the morning we will practice some simple qigong exercises, movements and meditations to access the deeper energies within us. Then its time to enter the woods together to connect with the living Earth. As we walk through the woods, we will take time to pause and play with our Qigong moving meditations, listening to the forest around us, waking up our the wild within us. After a delicious lunch, we will lie down and relax into the support of the ground to receive a deep healing Breathwork Session. We will use conscious connected breathing to encourage detoxification of your body, releasing stuck energy and beliefs and resetting your whole nervous system. Giving you the tools to transform and to let go of whatever may be holding you back from living the life you truly want to live. Come and join me and nourish yourself in the beauty of life. Relax, Let Go & Be at Peace this Autumn Price includes a delicious vegetarian soup, herbal teas and delicious seasonal treats If you are interested but have more questions please contact me. I would love to hear from you.  Contact me for more details  Tel: 07779151916 emma@bringingbalance.co.uk 

Combat stress using yoga, meditation and diet

Windows Server 2019 - Level 2 Hands-on Training Online Course Overview Are you looking to begin your Microsoft Server 2019 career or want to develop more advanced skills in Microsoft Server 2019? Then this Windows Server 2019 - Level 2 Hands-on Training course will set you up with a solid foundation to become a confident Windows Server 2019 administrator and help you to develop your expertise in Microsoft Server 2019.This Windows Server 2019 - Level 2 Hands-on Training course is accredited by the CPD UK & IPHM. CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world.Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this Windows Server 2019 - Level 2 Hands-on Training course will set you up with a solid foundation to become a confident Windows Server 2019 administrator and develop more advanced skills. Gain the essential skills and knowledge you need to propel your career forward as a Windows Server 2019 administrator. The Windows Server 2019 - Level 2 Hands-on Training course will set you up with the appropriate skills and experience needed for the job and is ideal for both beginners and those currently working as a Windows Server 2019 administrator. This comprehensive Windows Server 2019 - Level 2 Hands-on Training course is the perfect way to kickstart your career in the field of Microsoft Server 2019. This Windows Server 2019 - Level 2 Hands-on Training course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. If you're interested in working as a Windows Server 2019 administrator or want to learn more skills on Microsoft Server 2019 but unsure of where to start, then this Windows Server 2019 - Level 2 Hands-on Training course will set you up with a solid foundation to become a confident Windows Server 2019 administrator and develop more advanced skills. As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This Windows Server 2019 - Level 2 Hands-on Training course is crafted by industry expert, to enable you to learn quickly and efficiently, and at your own pace and convenience. Who is this Windows Server 2019 - Level 2 Hands-on Training Online course for? This comprehensive Windows Server 2019 - Level 2 Hands-on Training course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of Microsoft Server 2019. Entry Requirement There are no academic entry requirements for this Windows Server 2019 - Level 2 Hands-on Training course, and it is open to students of all academic backgrounds. As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol. Assessment Method This Windows Server 2019 - Level 2 Hands-on Training course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Course Curriculum Building Your Virtual Lab Environment Video - Downloading ISO and OVA Files for VirtualBox Video and Lab - Create Virtual Install of Server 2019 Full GUI Video and Lab - Creating Virtual Install of Server 2019 Core Using VirtualBox Video and Lab - Creating Virtual Install of Windows 10 Pro Using VirtualBox Video Take a Snapshot of Your Configuration Building a Windows Server 2019 Domain Using PowerShell Video an Lab - Preparing Your Network for Active directory Step 1: Rename Your Server Using Powershell Step 2: Assign a Static IP address Using PowerShell Step 3: Install the Active Directory Domain Services Role Using Powershell Step 4: Promote Server 2019 as a Domain Controller Using PowerShell Step 5: Promote Server Core to a Domain Controller Step 6: Add a Windows 10 Client to the Domain Windows Deployment Services Video - Install WDS on a Windows Server Video - Deploy a Windows 10 Client Using WDS Operations Master Roles (FSMO) Video and Lab - Transfer FSMO roles using PowerShell Video and Lab - Seizing the FSMO Roles Using the NTDSUTIL Disaster Recovery Video and Lab - Mitigating the Loss of Your Forest Root Video- Resetting the Directory Services Recovery Mode Password Video- Resetting the Directory Services Recovery Mode Password Video - How to Backup and Restore the Windows Registry Video - Install and use Windows Server Backup Video and lab - Reset a lost administrator Password Monitoring Server 2019 Video and Lab - Monitoring Server Performance Video - Create a Heads-up Display Using BgInfo Video - Overview of the Event Viewer in Windows Server Server 2019 Advanced Administration Video - Rearm the 180-day Evaluation Period for Windows Server Video - Create a shared folder Using Windows Server Video - Disable the complex password policy in Windows Server Video and lab - Configuring NIC Teaming on Windows Servers Video and Lab - Network Load Balancing for Windows Servers Video - NDSUTIL - Resetting the Directory Services Recovery Mode Password IIS Video and Lab - Create a Website Using IIS on Server 2019 Video - How to turn on website authentication in IIS Windows Server Video - Improve Website Performance Using Dynamic Compression in IIS Video - Create a New Virtual directory in IIS Video - Change the Default Document Used in IIS Certificates Services Video and Lab - Create a Self-Signed Certificate in IIS Video and Lab - Configure Group Policy to Trust a Self-Signed Certificate Video and Lab - Create Self Signed Certificate and Bind in IIS Video and Lab - Install and configure Certificate Services

Graph Theory Basics is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Graph Theory Basics and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 10 hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Course Promo Graph Theory Promo 00:02:00 Module 01: Supplements Textbook Recommendations 00:02:00 Tools and Softwares 00:05:00 Sets 00:09:00 Number Sets 00:10:00 Parity 00:12:00 Terminologies 00:07:00 Module 02: Fundamentals Introduction 00:03:00 Graphs 00:11:00 Subgraphs 00:09:00 Degree 00:10:00 Sum of Degrees of Vertices Theorem 00:23:00 Adjacency and Incidence 00:09:00 Adjacency Matrix 00:16:00 Incidence Matrix 00:08:00 Isomorphism 00:08:00 Module 03: Paths Introduction 00:01:00 Walks, Trails, Paths, and Circuits 00:13:00 Examples 00:10:00 Eccentricity, Diameter, and Radius 00:07:00 Connectedness 00:20:00 Euler Trails and Circuits 00:18:00 Fleury's Algorithm 00:10:00 Hamiltonian Paths and Circuits 00:06:00 Ore's Theorem 00:14:00 Dirac's Theorem 00:06:00 The Shortest Path Problem 00:16:00 Module 04: Graph Types Introduction 00:01:00 Trivial, Null and Simple Graphs 00:10:00 Regular Graphs 00:10:00 Complete, Cycles and Cubic Graphs 00:10:00 Path, Wheel and Platonic Graphs 00:11:00 Bipartite Graphs 00:14:00 Module 05: Trees Introduction 00:01:00 Trees 00:14:00 Cayley's Theorem 00:03:00 Rooted Trees 00:10:00 Binary Trees 00:14:00 Binary Tree Traversals 00:18:00 Binary Expression Trees 00:09:00 Binary Search Trees 00:19:00 Spanning Trees 00:10:00 Forest 00:07:00 Module 06: Digraphs and Tournaments Introduction 00:01:00 Digraphs 00:12:00 Degree 00:09:00 Isomorphism 00:08:00 Adjacency Matrix 00:10:00 Incidence Matrix 00:05:00 Walks, Paths and Cycles 00:12:00 Connectedness 00:05:00 Tournaments 00:08:00 Module 07: Planar Graphs Introduction 00:01:00 Planar Graphs 00:10:00 Kuratowski's Theorem 00:14:00 Euler's Formula 00:10:00 Dual Graphs 00:11:00 Module 08: Graph Operations Introduction 00:01:00 Vertex and Edge Deletion & Addition 00:08:00 Cartesian Product 00:10:00 Graph Join and Transpose 00:04:00 Complement Graphs 00:05:00 Module 09: Graph Colourings Introduction 00:01:00 Vertex Colourings 00:05:00 Edge Colourings 00:09:00 Total Colourings 00:05:00

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

🌟 Unlock Your Professional Potential with the Professional Intuition Mastery Program! 🌟 Are you ready to elevate your career and achieve unparalleled success by tapping into the incredible power of intuition? Introducing the Professional Intuition Mastery Program - the game-changing online course designed to unleash your intuitive abilities and revolutionize the way you navigate your professional journey.   🔮 Why Intuition Matters in Your Career: In today's fast-paced and competitive world, professionals who harness the power of intuition gain a significant edge. Imagine making decisions with clarity, anticipating trends before they happen, and forging connections that propel your career to new heights. The Professional Intuition Mastery Program is your key to unlocking these extraordinary capabilities.   🚀 What You'll Gain: ✨ Intuition Unleashed: Develop and fine-tune your innate intuitive abilities to make better decisions, solve complex problems, and seize opportunities effortlessly. ✨ Strategic Decision-Making: Learn to integrate intuition into your decision-making process, allowing you to navigate challenges with confidence and precision. ✨ Enhanced Creativity: Tap into your creative reservoir by aligning with your intuitive insights, fostering innovation and out-of-the-box thinking in your professional endeavors. ✨ Effective Communication: Master the art of reading subtle cues and non-verbal communication, establishing stronger connections with colleagues, clients, and stakeholders. ✨ Career Acceleration: Propel your career forward by leveraging intuitive intelligence to anticipate industry shifts, identify emerging trends, and position yourself as a leader in your field. 🎓 Course Highlights: 🌐 Flexible Learning: Access the course from anywhere, at any time, and on any device. Fit your learning into your busy schedule without compromising on quality. 🤝 Community Support: Connect with like-minded professionals in our exclusive community. Share insights, collaborate on projects, and grow together on your intuitive journey. 📚 Comprehensive Curriculum: Our expert-led modules cover everything from the fundamentals of intuition to advanced techniques tailored for the professional sphere. 🌈 Holistic Approach: We believe in nurturing the whole professional. This course combines practical exercises, real-world case studies, and expert guidance to ensure a well-rounded mastery of intuition.   ⏰ Don't Miss Your Chance! The Professional Intuition Mastery Program is your gateway to a more intuitive, successful, and fulfilling professional life. Seize this opportunity to gain a competitive advantage in your career.   👉 Enroll Now and Harness the Power of Professional Intuition! 👈 (Disclaimer: Results may vary. Success in the program depends on individual commitment and effort.) Course Curriculum Foundations of Psychic Clairvoyance Psychic Intro 00:00 Introduction to Clairvoyance 00:00 The Four Clairsenses 00:00 Tests for Clairsenses 00:00 Preparing for Psychic Clairsenses Psychic Blocks or Filters 00:00 Meditation to remove psychogenic blocks or filters 00:00 Psychic Mindfulness 00:00 Meditation for Aura, Chakra and Kundalini Cleansing and Energizing 00:00 Exercises to Develop Psychic Clairsenses Mindfulness for Clairsenses 00:00 Re-creation Exercises for Clairsenses 00:00 Non-Line-of-Perception Exercises for Clairsenses 00:00 Postcognition Exercises for Clairsenses 00:00 Precognition Exercises for Clairsenses 00:00 Safety Measures in Psychic Clairsenses Grounding 00:00 Centering 00:00 Psychic Shielding 00:00 Connecting, Disconnecting, Locking, and Unlocking Chakras 00:00 Angelic Shielding 00:00 Ethical Issues and Professionalism in Psychic Practice 00:00 Advanced Uses of Psychic Power Spiritual Healing, Energy Healing, and Reiki 00:00 Consciousness and Intuition Development 00:00 Nature Connection through Forest Bathing 00:00 Nonverbal Communication and Telepathy for - Plant, Human, and Animal Communication 00:00 Mentalism, Mind Reading, and Lie Detection 00:00 Attraction and Likability 00:00 Hypnosis, Self-Hypnosis, Hypnotherapy, and Past Life Regression 00:00 Lucid Dreaming 00:00 Aura Reading 00:00 Communication with Archangels and Orbs for Angelic Therapy 00:00 Mediumship, Shamanism, Shamanic Healing, Witchcraft, Soul Retrieval, Hoodoo _ Conjure 00:00 Astral Projection 00:00 Akashic Records 00:00 Tarot Card Reading, Angel Card Reading, and Oracle Card Reading 00:00 Dowsing 00:00 Tantra 00:00 Activating Individual Chakras Psychic Meditation Root Chakra 00:00 Psychic Meditation Sacral Chakra 00:00 Psychic Meditation Solar Plexus Chakra UPDATED 00:00 Psychic Meditation Heart Chakra UPDATED 00:00 Psychic Meditation Throat Chakra 00:00 Psychic Meditation Third Eye Chakra 00:00 Psychic Meditation Crown Chakra 00:00

Get involved in a learning adventure, mastering R from foundational basics to advanced techniques. This course is a gateway to the realm of data science. Explore statistical machine learning models and intricacies of deep learning and create interactive Shiny apps. Unleash the power of R and elevate your proficiency in data-driven decision-making.

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 Overview Course Overview Video 00:03:00 Building Your Virtual Lab Enviorment Video - Downloading ISO and OVA Fles for VirtualBox 00:08:00 Video and Lab - Create Virtual Install of Server 2016 Full GUI Using VirtualBox 00:12:00 Video and Lab - Creating a Virtual Install of Server 2016 Core Using VirtualBox 00:11:00 Video and Lab - Creating a Virtual Install Of Windows 10 Pro Using Virtualbox 00:16:00 Video - Taking A Snapshot Of Your Current Configuration 00:04:00 Building a Microsoft Server 2016 Domain Video and Lab - Preparing Your Network For Active Directory 00:08:00 Video and Lab - Prepare Server 2016 for Promotion to a Domain Controller 00:10:00 Video and Lab - Promote Server 2016 to a Domain Controller 00:09:00 Video and Lab - Join Server 2016 Core to Windows 2016 Domain 00:08:00 Video and Lab - Promote Server Core to a Domain Controller 00:14:00 Video and Lab - Join a Windows 10 Workstation to a Microsoft Domain 00:15:00 Windows Deployement Service (WDS) Video - Install WDS on a Windows Server 00:16:00 Video - Deploy a Windows 10 Client Using WDS 00:09:00 Operations Master Roles (FSMO) Video and Lab -Transferring FSMO Roles in Active Directory 00:10:00 Video And Lab - Transfer FSMO Roles Using PowerShell 00:07:00 Video and Lab - Seizing the FSMO Roles Using the NTDSUTIL 00:17:00 Disaster Recovery Video and Lab - Mitigating the Loss of Your Forest Root 00:16:00 Video - NDSUTIL - Resetting the Directory Services Recovery Mode Password 00:03:00 Video - How to Backup and Restore the Windows Registry 00:05:00 Video - Install And Use Windows Server Backup 00:03:00 Video And Lab - Reset a Lost Administrator Password 00:13:00 Monitoring Server 2016 Video and Lab - Monitoring Server Performance 00:13:00 Video - Create a Heads-Up Display Using BgInfo 00:08:00 Video - Overview of the Event Viewer in Windows Server 00:13:00 Server 2016 Advanced Administration Video - Rearm the 180-day Evaluation Period for Windows Server 00:03:00 00:03:00 Video - Enable Remote Desktop Using PowerShell 00:06:00 Video - Upgrade Server 2016 Standard to Server 2016 DataCenter 00:03:00 Video - Disable The Complex Password Policy in Windows Server 00:03:00 Video - Manually Enabling Remote Management 00:05:00 00:02:00 Video - Working with Task View in Server 2016 00:03:00 Video - Create a shared folder Using Windows Server 00:04:00 00:00 Video - Windows Server 2016 Windows Updates Settings 00:04:00 IIS Video - Installing IIS Using PowerShell 00:02:00 Video and Lab - Create a New Website Using Windows Server 00:19:00 Video - How to turn on website authentication in IIS Windows Server 00:05:00 Video - Create a New Virtual Directory In IIS 00:05:00 Video - Change the Default Document Used in IIS 00:04:00 Video - Improve Website Performance Using Dynamic Compression in IIS 00:04:00 Video - Create a New Host Record in DNS For ISS Website 00:04:00 Certificates Services Video and Lab - Create a Self-Signed Certificate in IIS 00:12:00 Video and Lab - Configure Group Policy to Trust a Self-Signed Certificate 00:08:00 Video and Lab - Create Self Signed Certificate and Bind in IIS 00:05:00 Video and Lab - Install and configure Certificate Services 00:09:00 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

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm