20 Splits courses

Hello there, young movers and shakers! Welcome to our thrilling Kids Jazz Dance Class designed especially for children aged between 5 and 8. Jazz dance is all about finding your own groove, letting loose, and having a jolly good time! So, get ready to dive into a world where rhythm meets fun, and fun meets fancy footwork. In our Kids Jazz Dance Class, we learn more than just basic jazz steps. We embrace the magic of dance, letting it take us on an exhilarating journey of discovery! From the moment your little ones step into our vibrant dance studio, they'll be immersed in a bubbly, energetic environment that is as exciting as it is welcoming. The course is all about letting children explore movement, rhythm, and the wonderful world of jazz dance. We begin by introducing the youngsters to classic jazz steps that are as playful as they are graceful. Each week, they'll be learning new moves, from the lively "jazz square" to the enchanting "pivot step" and even the dazzling "kick ball change". But that's not all! Dance is not just about steps, it's about the whole body. So, we've incorporated exercises to develop balance and coordination, too. We'll be playing exciting dance games and doing engaging exercises that will help your child become nimble and agile, just like the best jazz dancers! And for the aspiring young dancers who dream of mastering the perfect splits, we have you covered! Our caring and experienced instructors will guide your children on a safe, step-by-step journey towards this classic dance move. We'll be stretching, strengthening, and preparing their little bodies, all while ensuring they're having a blast. At the end of each class, we gather in a circle and each child has the opportunity to showcase their new moves. This not only builds confidence, but also fosters a supportive, inclusive community. Our Kids Jazz Dance Class is more than just a dance lesson. It's a place where your children can express themselves, make new friends, and grow in confidence. Whether your child is a seasoned performer or stepping onto the dance floor for the first time, we welcome them with open arms to join our Kids Jazz Dance Class. So put on your dancing shoes, little ones! It's time to step, twirl, and leap into the delightful world of jazz dance. We can't wait to meet you and begin this exciting journey together! Remember, in the world of dance, it's all about having fun and embracing who you are. So, let's dance our way to joy in the Kids Jazz Dance Class!

Hello to our sparkling dancers and welcome to our Ballet Brilliance Level 1 Class, an engaging progression for our ballet enthusiasts aged between 5 and 8. Ready to leap into the next stage of your ballet journey, further enhancing your graceful moves? If your hearts are fluttering with excitement, we are overjoyed to accompany you on this magical adventure! Ballet is a delightful dance form that combines elegance, precision, and expressiveness. Our Ballet Level 1 class is here to guide you deeper into this exquisite world of dance. As you step into our welcoming ballet studio, you'll continue to cultivate your love for ballet and refine your dance skills. Our class goes beyond the basics, delving into the core elements of ballet. You'll polish your essential dance steps and explore new ones, from the twirling "pirouettes" to the leaping "jetés". Our attentive and qualified instructors will be right by your side, fostering a supportive and engaging learning environment. But Ballet Level 1 isn't just about dance steps. We'll place special emphasis on coordination, balance, and posture, key components in forming a strong ballet foundation. You'll also be working on stretching exercises and aiming to master the perfect splits. Your flexibility and muscle strength will grow in leaps and bounds, just like your ballet skills! We'll also introduce the exciting world of ballet jumps and turns. These dynamic movements not only add spectacle to your dance but also help develop agility and spatial awareness. Each jump and turn is a testament to your growth as a budding ballet dancer! Our Ballet Level 1 class is more than a ballet lesson; it's a holistic learning experience. You'll boost your self-esteem, learn valuable life skills, and form bonds with your fellow ballet dancers. Each plie and pirouette is a step towards self-confidence and resilience! The friendships you'll make in our class are truly special. Ballet is about harmony and teamwork, and our class is a testament to this ethos. You'll create shared memories that will last a lifetime, all while nurturing a shared love for ballet. So, tie up your ballet slippers and prepare to pirouette, plie, and pursue your ballet dreams in our Ballet Level 1 class. We can't wait to see you at the barre, ready to take on the next chapter of your ballet journey! Remember, ballet is about expressing grace, demonstrating precision, and most importantly, enjoying every twirl and leap. Let's plie, pirouette, and pursue our ballet dreams together in Ballet Level 1! See you in the studio!

BLUETOOTH TRAINING COURSE DESCRIPTION Bluetooth is used by many kids these days but is probably under-utilised in business environments. This hands on training course provides an overview of what Bluetooth is, how it works, what it can be used for and how to configure it on different devices. WHAT WILL YOU LEARN * Explain what Bluetooth is. * Describe the Bluetooth protocol stack. * Recognise the applications of Bluetooth. * Configure Bluetooth. BLUETOOTH TRAINING COURSE DETAILS * Who will benefit: Anyone who needs to know more about Bluetooth. * Prerequisites: None. * Duration 2 days BLUETOOTH TRAINING COURSE CONTENTS * Classic Bluetooth * Bluetooth overview Basics, standards, competing technologies. * Bluetooth radio RF bands, power losses, frequency hopping. * Bluetooth modulation PSK, DPSK, DPQSK. * Bluetooth data transfer FH, TDD, FDMA, ACL, SCO, Bluetooth packets. * Making connections Piconets, Scatternets, Pairing * The protocol stack Baseband, Link Manager, L2CAP, SDP, GAP, RFCOMM. * Profiles FTP, DUN, LAN, Synch, HDP, GOEP/OBEX etc. * Security Authentication, authorisation, encryption, risks. * Bluetooth Low Energy * Introduction Bluetooth Smart and Bluetooth Smart Ready. * BLE device types Design goals, terminology and core concepts. * BLE usage models Presence detection, data broadcasting connectionless models, gateways. * BLE architecture Controller, host, applications and stack splits. * BLE protocol stack Link layer, HCI, L2CAP. * BLE profiles GAP roles, models, procedures, security modes, data advertising. * BLE security Pairing, bonding, data signing * BLE applications Devices, services, profiles, peripherals

LOOKING FOR: ADULT FICTION, NON-FICTION Publisher / editor Scott Pack is now in his third decade working in the world of books. During that time he has been Head of Buying for Waterstones, worked for publishers big and small - including a lengthy spell at HarperCollins - and taught numerous workshops and classes on all aspects of writing. These days he splits his time between writing his own books, editing other people's, teaching the editors of tomorrow as part of the Oxford Brookes University MA in Publishing, and he is one of the question setters for BBC's Mastermind. His latest book, Tips From A Publisher, is out now.  As a publisher, Scott has published across most genres in fiction and a wide range of non-fiction and is happy to read any style of writing. He will assess your sample and provide feedback on any issues he identifies, the manuscript's commercial potential and what steps he would advise before you submit to agents or publishers. Scott is very direct with his feedback, so expect robust, but always constructive, comments! Scott would like you to submit your fiction as a covering letter, 1-2 page synopsis and the first 5,000 words of your manuscript in a single word document.  For non-fiction, he would like to see:- * 1-page synopsis – to give an overview of what the book will offer the reader and how it's different from other books out there on this topic *  A detailed proposed contents list, including proposed sub-section headings as well as chapter headings – to give a sense of the overall reader journey * 1000-1500 words of intro text - to showcase context, tone etc * 1000-1500 words from later in the book - to showcase the progression of the book (In addition to the paid sessions, Scott is kindly offering one free session for low income/underrepresented writers. Please email agent121@iaminprint.co.uk [agent121@iaminprint.co.uk] to apply, outlining your case for this option which is offered at the discretion of I Am In Print).  By booking you understand you need to conduct an internet connection test with I Am In Print prior to the event. You also agree to email your material in one document to reach I Am In Print by the stated submission deadline and note that I Am In Print take no responsibility for the advice received during your agent meeting. The submission deadline is: Monday 8th July 2024

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Duration 4 Days 24 CPD hours This course is intended for This course is appropriate for developers and administrators who intend to use HBase. Overview Skills learned on the course include:The use cases and usage occasions for HBase, Hadoop, and RDBMSUsing the HBase shell to directly manipulate HBase tablesDesigning optimal HBase schemas for efficient data storage and recoveryHow to connect to HBase using the Java API, configure the HBase cluster, and administer an HBase clusterBest practices for identifying and resolving performance bottlenecks Cloudera University?s four-day training course for Apache HBase enables participants to store and access massive quantities of multi-structured data and perform hundreds of thousands of operations per second. INTRODUCTION TO HADOOP & HBASE * What Is Big Data? * Introducing Hadoop * Hadoop Components * What Is HBase? * Why Use HBase? * Strengths of HBase * HBase in Production * Weaknesses of HBase HBASE TABLES * HBase Concepts * HBase Table Fundamentals * Thinking About Table Design THE HBASE SHELL * Creating Tables with the HBase Shell * Working with Tables * Working with Table Data HBASE ARCHITECTURE FUNDAMENTALS * HBase Regions * HBase Cluster Architecture * HBase and HDFS Data Locality HBASE SCHEMA DESIGN * General Design Considerations * Application-Centric Design * Designing HBase Row Keys * Other HBase Table Features BASIC DATA ACCESS WITH THE HBASE API * Options to Access HBase Data * Creating and Deleting HBase Tables * Retrieving Data with Get * Retrieving Data with Scan * Inserting and Updating Data * Deleting Data MORE ADVANCED HBASE API FEATURES * Filtering Scans * Best Practices * HBase Coprocessors HBASE ON THE CLUSTER * How HBase Uses HDFS * Compactions and Splits HBASE READS & WRITES * How HBase Writes Data * How HBase Reads Data * Block Caches for Reading HBASE PERFORMANCE TUNING * Column Family Considerations * Schema Design Considerations * Configuring for Caching * Dealing with Time Series and Sequential Data * Pre-Splitting Regions HBASE ADMINISTRATION AND CLUSTER MANAGEMENT * HBase Daemons * ZooKeeper Considerations * HBase High Availability * Using the HBase Balancer * Fixing Tables with hbck * HBase Security HBASE REPLICATION & BACKUP * HBase Replication * HBase Backup * MapReduce and HBase Clusters USING HIVE & IMPALA WITH HBASE * Using Hive and Impala with HBase APPENDIX A: ACCESSING DATA WITH PYTHON AND THRIFT * Thrift Usage * Working with Tables * Getting and Putting Data * Scanning Data * Deleting Data * Counters * Filters APPENDIX B: OPENTSDB

Learn to create captivating AI-generated art using DALL-E, Midjourney, and other AI art software. This course covers the fundamentals of AI art creation and provides hands-on training on how to generate stunning visuals. Develop your creativity and artistic skills in a fun and engaging way.

Description Yoga and Detox Diet Transformation course is designed for any aspiring individual who wants to gain a great body

DESCRIPTION Learn Yoga and start Detox diet for making a healthy, fit and shaped body with the Yoga and Detox Diet Transformation Diploma course. The course can be split into two parts - one section deals with the techniques of various types of Yoga pose while other contains information about Detox diet. The course material includes audio, video and ebooks that make your learning easy. At first, you will master various types of meditation techniques covering Samadhi meditation, Guided meditation, Yoga Nidra meditation, Soul Healing Guided meditation, and more. Then the course trains you how to perform Grounded Yoga, strengthen week legs, Vinyasa Yoga, etc. You must hear the famous song by Shakira- Hips Don't Lie. In the course, you will also learn the amazing Shakira Yoga. The rest of the part trains you about Detox diet including the knowledge about anti-ageing raw foods diet, and more. It is hoped that with the help of both yoga and detox diet, you can gain a great body. ASSESSMENT: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. CERTIFICATION: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. WHO IS THIS COURSE FOR? Yoga and Detox Diet Transformation Diploma is certified by CPD Qualifications Standards and CiQ. This makes it 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. REQUIREMENTS Our Yoga and Detox Diet Transformation Diploma is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. CAREER PATH After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Introduction and Course-Wide Materials Introduction to the Course and Hello From Dashama FREE 00:05:00 Meditations Chakra Balancing Guided Meditation 00:09:00 Day 1 Salute the Sun! Rise & Shine with Yoga 00:05:00 Grounding Yoga 00:55:00 Day 2 How to Stengthen Weak Legs 00:07:00 Day 3 Meditation For Beginners 00:06:00 Beginners Vinyasa Sun Salute B 00:06:00 Day 4 Yoga for Hips & Lower Back- ALL Levels 00:06:00 Beginners Shoulders Mat Vinyasa 00:03:00 Day 5 Fire Practice - Vigorous Vinyasa 01:22:00 Day 6 Miracle Manifestation Yoga Life in Balance 00:05:00 Day 7 Intermediate Surya Namaskar Variation 00:10:00 Day 8 Yoga for Hips & Inner Thighs 00:09:00 Day 9 Balance Yoga Sequence- Level 23 00:05:00 Day 10 Shakira Yoga! Hips Don't Lie. All levels 00:06:00 Day 11 Wild Thing Yoga Sequence 00:04:00 Day 12 6 Pack Yoga Abs part 1 00:04:00 Day 13 Back Bend Bridge Leg Sequence 00:08:00 Day 14 6 Pack Yoga Abs Part 2 00:03:00 Day 15 Sixth Chakra Practice Eyes Closed Yoga 01:11:00 Day 16 Bali Booty Yoga Practice 01:09:00 Day 17 HANDSTAND Press Up- Yoga 00:05:00 Day 18 Face Massage and Yoga 00:09:00 Day 19 Standing Shoulders and Hamstrings Sequence 00:05:00 Day 20 All Levels Prayer Twist Vinyasa 00:04:00 Anti-Aging Raw Food Snack- Weight Loss Diet with Dashama 00:05:00 Day 21 Advanced Core Power Sequence- Vinyasa Yoga Level 23 00:07:00 Day 22 Hips & Heart Sequence- Vinyasa Yoga 23 00:05:00 Day 23 Advanced Standing Balance Bow Airplane Half Lotus 00:09:00 Yoga for Knee Injury 00:11:00 Day 24 Yoga for a Shoulder Injury 00:27:00 Day 25 Bed Yoga Stomach Massage 00:08:00 Day 26 Beginners Balance Yoga Sequence 00:05:00 Day 27 Bed Yoga Morning Energizer 00:08:00 Day 28 Yoga for Lower Back Pain 00:15:00 Day 29 Bliss Breath Pranayama 00:06:00 Day 30 Bed Yoga Wide Leg Forward Bend 00:03:00 Next Steps Lower Back Strength and Stretch 00:06:00 Seated Forward Bends For tight hamstrings and lower back 00:08:00 Warrior Standing Power Sequence 00:06:00 Full Practice 80 minutes - All Levels 01:22:00 Dive Bomber Push Ups aka Swoop Through Push Ups 00:02:00 Yoga to Advance Your SPLITS 00:04:00 Full Wheel Drop Backs - Advanced Practice 00:03:00 Rise and Shine with Yoga Sun Salutations 00:05:00 Resource Resources - Yoga and Detox Diet Transformation Diploma 00:00:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. LEARNING OUTCOMES: * Understand the fundamental concepts and types of machine learning, data science, and Python programming. * Learn to prepare the system and environment for data analysis and machine learning tasks. * Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. * Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. * Explore feature selection methods and evaluation metrics for classification and regression algorithms. * Compare and select the best machine learning model using pipelines and ensembles. * Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? 1. Unlimited access to the course for forever 2. Digital Certificate, Transcript, student ID all included in the price 3. Absolutely no hidden fees 4. Directly receive CPD accredited qualifications after course completion 5. Receive one to one assistance on every weekday from professionals 6. Immediately receive the PDF certificate after passing 7. Receive the original copies of your certificate and transcript on the next working day 8. Easily learn the skills and knowledge from the comfort of your home CERTIFICATION After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. WHO IS THIS COURSE FOR? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for * Students * Recent graduates * Job Seekers * Anyone interested in this topic * People already working in the relevant fields and want to polish their knowledge and skill. PREREQUISITES This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. CAREER PATH As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. COURSE CURRICULUM Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00