324 Forest courses in Cardiff delivered Online

🌿 Unlock the Ancient Wisdom of Shamanism! 🌿 🔮 Dive into the mystical realm of Shamanism with our exclusive two-hours and 30min recorded video session!  Whether you're a curious seeker or a seasoned explorer, this immersive experience offers a comprehensive journey into the fascinating world of Shamanism. 🌎 Discover the Origins: Explore the rich history and cultural significance of Shamanism, spanning across diverse civilizations and traditions. 🔍 Unveil the Main Characteristics: Delve deep into the core principles and practices that define Shamanic wisdom, including its connection to nature, spirits, and the unseen realms. 🛤️ Embark on 3 Shamanic Journeys: Learn the ancient art of journeying as you traverse the realms of consciousness, guided by Giada, experienced practitioner and teacher.  🌀 Experience Healing: Witness the transformative power of Shamanic healing techniques, tapping into the innate capacity for spiritual and physical well-being. 🌟 Initiation and Ritual to heal one of your problems: Immerse yourself in a sacred rite experiencing the profound impact of initiation and ritual in Shamanic tradition. 🔥 Don't miss this unique opportunity to explore Shamanism from the comfort of your own space! Whether you're seeking personal growth, spiritual insight, or simply curious about the mysteries of the Shamanic path, this recorded video session is your gateway to ancient wisdom. 🔗 Reserve your spot now and embark on a journey of self-discovery and empowerment! If you suffer from psychosis, please avoid the part of the shamanic journeys as it is not recommended as you would journey into a non ordinary reality.  Disclaimer  By booking any event or 1-1 session -online or any other venues – with us, you release Giada Gaslini, Invisible Caims/School of Shamanism, Art and Spirituality and any business partners working with for the event from any liability arising out of any personal injuries, emotional or physical release, death, expectations of results, theft in the venue or damages that may happen to people and objects while attending. We recommend that you consult your GP regarding the suitability of undertaking an exercise programme, if the class you are booking includes it like with yoga or similar, and following all the safety instructions required before beginning to exercise. When participating in an exercise, there is the possibility of sustaining a physical injury. If you engage in this exercise programme, you agree that you do so at your own risk, are voluntarily participating in these activities and assume all risk of injury to yourself. You acknowledge that coaching, shamanic healing and counselling are not to be used as a substitute for psychotherapy, psychoanalysis, mental health care, or other professional advice by legal, medical or other professionals. Our sessions are aimed at inner research, problem solving and personal growth, they do not replace the work of doctors and psychotherapists because they do not consider, treat or aim to solve pathologies and symptoms that are strictly medical. All contracts subject to and governed by the law according to my current insurance.  If the class happens in any venue and you are causing any damage to the property, you are taking responsibility of your actions. It is down to the individual to take personal responsibility when participating in physical activity and when entering a space that is used and shared by other parties. Invisible Caims does not take any responsibility about possible risks that may arise but can only advise and enforce guidelines and legal requirements as defined by the Scottish Government and local authorities.  Giada's Journey Creative explorer of the human well-being with twenty years’ experience running events, workshops and retreats. Co-author of a non-profit book with other 33 Italian women about their stories in different countries. She has been learning to heal herself supportinga Holistic connection between mind, body and spirit. She has been studying and practicing Buddhist teachings, meditation and the Five Tibetan Rites Yoga in Nepal, India and Italy. Approached the imaginal world and dreams with the psychologist Elio Occhipinti and a regressive hypnosis journey with the vision of the psychiatrist Brian Weiss.  Her studies and practice have helped her become: Shamanic Practitioner and Teacher with the two years formal training at Anam Cara and one year in Wales Shamanic and Integral Yoga Teacher, Ikigai Coach,Forest Therapy Guide qualified with Selene Calloni Williams at the Imaginal Academy and part of the Italian-Swiss Association for Counselling and Coaching, Aiscon.  Professional Esoteric Numerologist graduated at The Connaissance School of Numerology Corporate Mental Health Coach achieved with WeFocus Founder of Drink In Art exhibitions of local artists in private flats Founder of Invisible Caims creative and spiritual workshops, classes and therapies Founder of the Art and Spirituality Centre centre for creativity and well-being in Edinburgh

This offering is for an initial session exploring your enneagram map report , which is included. The test I use is from Aephoria, and it will give you your tritype (your strategies for thinking, feeling and doing) as well as your instinctual variant, which is helpful information about where you tend to focus your attention. Once you have your map, we will unpack the information together, and if you wish, go on to explore it over a series of sessions, using creative tools and practices to find its meaning and wisdom for you in your life.

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

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

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