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This is a Machine Learning & Data Science Tutorial series for Beginners to Advance with Python Free reference books – Python Data Science Handbook: https://tanthiamhuat.files.wordpress.com/2018/04/pythondatasciencehandbook.pdf R For Data Science: https://r4ds.had.co.nz/index.html Rules For Machine Learning: http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf Deep Learning: https://www.deeplearningbook.org/
This Python tutorial for beginners show how to get started with Python quickly. Learn to code in 1 hour! Watch this tutorial get started! ๐Ÿ‘ Subscribe for more Python tutorials like this: https://goo.gl/6PYaGF ๐Ÿ”ฅ Want to learn more? Watch my complete Python course: https://youtu.be/_uQrJ0TkZlc ๐Ÿ“• Get my FREE Python cheat sheet: http://bit.ly/2Gp80s6 Courses: https://codewithmosh.com Twitter: https://twitter.com/moshhamedani Facebook: https://www.facebook.com/programmingwithmosh/ Blog: http://programmingwithmosh.com #Python, #MachineLearning, #WebDevelopment ๐Ÿ“” Python Exercises for Beginners: https://goo.gl/1XnQB1 โญ My Favorite Python Books – Python Crash Course: https://amzn.to/2GqMdjG – Automate the Boring Stuff with Python: https://amzn.to/2N71d6S – A Smarter Way to Learn Python: https://amzn.to/2UZa6lE – Machine Learning for Absolute Beginners: https://amzn.to/2Gs0koL – Hands-on Machine Learning with scikit-learn and TensorFlow: https://amzn.to/2IdUuJy TABLE OF CONTENT 0:00:00 Introduction 0:00:30 What You Can Do With Python 0:01:15 Your First Python Program 0:05:30 Variables 0:09:08 Receiving Input 0:10:48 Type Conversion 0:18:49 Strings 0:23:41 Arithmetic Operators 0:25:59 Operator Precedence 0:27:11 Comparison Operators 0:28:52 Logical Operators 0:31:06 If Statements 0:36:16 Exercise 0:41:42 While Loops 0:45:11 Lists 0:48:47 List Methods 0:52:16 For Loops 0:54:54 The range() Function 0:57:43 Tuples
๐Ÿ”ฅFree Machine Learning Course With Completion Certificate: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=MachineLearningFC01Mar22&utm_medium=DescriptionFirstFold&utm_source=youtube In this video on Machine Learning with Python full course, you will understand the basics of machine learning, essential applications of machine learning, machine learning concepts, and understand why mathematics, statistics, and linear algebra are crucial. We’ll also learn about regularization, dimensionality reduction, PCA. We will perform a prediction analysis on the recently held US Elections. Finally, you will study the Machine Learning roadmap for 2021? Machine Learning Basics Top 10 applications of machine learning Machine Learning Tutorial Part-1 Why Machine Learning What is Machine Learning Types of Machine Learning Supervised Learning Reinforcement Learning Supervised vs Unsupervised Learning Decision Trees Machine Learning Tutorial Part-2 K-Means Algorithm Mathematics for Machine Learning What is Data? Quantitative/Categorical Data Qualitative/Categorical Data Linear Algebra Calculus Statistics Demo on Statistics Probability Demo on Naive Bayes Linear Regression Analysis Logistic Regression Confusion Matrix Decision Tree in Machine Learning Random Forest K Nearest Neighbors Support Vector Machine Regularization in ML PCA US Election Prediction Machine Learning roadmap 2021 โœ…Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH โฉ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4 #MachineLearningCourse #MachineLearningFullCourse #MachineLearningWithPython #MachineLearningWithPythonFullCourse #MachineLearningTutorial #MachineLearningTutorialForBeginners #MachineLearning #MachineLearningTraining #Simplilearn Dataset Link -https://drive.google.com/drive/folders/15lSrc4176J9z9_3WZo_b91BaNfItc2s0 About Machine Learning Certification Course: Explore this Machine Learning certification course to understand cutting-edge concepts in machine learning, an exciting branch of Artificial Intelligence. This Machine Learning online training will provide you the skills needed to become a successful Machine Learning Engineer today. Machine Learning Course Overview: This Machine [More]
RPA Training | Overview on RPA | What is RPA Learning: What is Robotic Process Automation (RPA) How does RPA work What to know about RPA RPA Tools – automation anywhere, blue prism, uipath Benefits of RPA What is Robotic Process Automation? Let’s start by understanding each of it’s term – Robotic – entity which mimic human action Process – sequence of steps Automation – task which happen automatically without human intervention The process to mimic human actions to perform a meaningful task having sequence of steps without any human intervention is called Robotic Process Automation Why Robotic Process Automation? While doing a task in a repetitive manner manually everyday, an employee faces several issues such as it is time consuming, higher cost, error prone and many more. There are several tasks in the tech industry which are being done by employees in a repetitive manner. And, they face a lot of issues while doing such task manually. What is the solution? Robotic Process Automation platform has provided the solution to such issues by developing a software robot capable of automating computer process Benefits of RPA? Reduces time – RPA reduces the time to complete a task since computers can work without taking any interval! Cost effective – RPA reduces the cost by reducing the time to complete a task. It reduces the head count as well More accurate results – If a human is doing any repetitive task, there are high chances of getting error. Where as, if a [More]
Learn the fundamental concepts and terminology of Deep Learning, a sub-branch of Machine Learning. This course is designed for absolute beginners with no experience in programming. You will learn the key ideas behind deep learning without any code. You’ll learn about Neural Networks, Machine Learning constructs like Supervised, Unsupervised and Reinforcement Learning, the various types of Neural Network architectures, and more. โœ๏ธ Course developed by Jason Dsouza. Check out his YouTube channel: http://youtube.com/jasmcaus โญ๏ธ Course Contents โญ๏ธ โŒจ๏ธ (0:00) Introduction โŒจ๏ธ (1:18) What is Deep Learning โŒจ๏ธ (5:25) Introduction to Neural Networks โŒจ๏ธ (6:12) How do Neural Networks LEARN? โŒจ๏ธ (12:06) Core terminologies used in Deep Learning โŒจ๏ธ (12:11) Activation Functions โŒจ๏ธ (22:36) Loss Functions โŒจ๏ธ (23:42) Optimizers โŒจ๏ธ (30:10) Parameters vs Hyperparameters โŒจ๏ธ (32:03) Epochs, Batches & Iterations โŒจ๏ธ (34:24) Conclusion to Terminologies โŒจ๏ธ (35:18) Introduction to Learning โŒจ๏ธ (35:34) Supervised Learning โŒจ๏ธ (40:21) Unsupervised Learning โŒจ๏ธ (43:38) Reinforcement Learning โŒจ๏ธ (46:25) Regularization โŒจ๏ธ (51:25) Introduction to Neural Network Architectures โŒจ๏ธ (51:37) Fully-Connected Feedforward Neural Nets โŒจ๏ธ (54:05) Recurrent Neural Nets โŒจ๏ธ (1:04:40) Convolutional Neural Nets โŒจ๏ธ (1:08:07) Introduction to the 5 Steps to EVERY Deep Learning Model โŒจ๏ธ (1:08:23) 1. Gathering Data โŒจ๏ธ (1:11:27) 2. Preprocessing the Data โŒจ๏ธ (1:19:05) 3. Training your Model โŒจ๏ธ (1:19:33) 4. Evaluating your Model โŒจ๏ธ (1:19:55) 5. Optimizing your Model’s Accuracy โŒจ๏ธ (1:25:15) Conclusion to the Course — Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news And subscribe for new videos on [More]
Machine Learning Engineer Roadmap: Step by step 6 months learning roadmap for machine learning engineer career. Most of the resources mentioned in this roadmap are free resources. Please follow below steps for learning requires skills for machine learning engineer: https://github.com/codebasics/roadmaps/blob/master/machine-learning-engineer-roadmap-2021/ml_engineer_roadmap_2021.md โญ๏ธ Timestamps โญ๏ธ 0:00 Why machine learning? 0:45 Computer Science Fundamentals 1:39 Programming skills 2:22 Data Structure and Algorithms 5:13 Databases 7:51 Numpy, Pandas, matplotlib 11:06 Math and Statistics for ML 12:36 Machine learning 16:19 Deep learning 18:41 Use ML Lifecycle tools Extra Tips ========== * Discord server: Making group and buddies * Participate in kaggle competitions and solve problems ๐ŸŒŽ My Website For Video Courses: https://codebasics.io/ Need help building software or data analytics and AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. ๐Ÿ”–Hashtags๐Ÿ”– #machinelearningroadmap #machinelearning #mlroadmap #mlengineer #roadmaptomachinelearning #completeroadmapformachinelearning #mlengineerroadmap ๐ŸŽฅ Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #๏ธโƒฃ Social Media #๏ธโƒฃ ๐Ÿ”— Discord: https://discord.gg/r42Kbuk ๐Ÿ“ธ Instagram: https://www.instagram.com/codebasicshub/ ๐Ÿ”Š Facebook: https://www.facebook.com/codebasicshub ๐Ÿ“ฑ Twitter: https://twitter.com/codebasicshub ๐Ÿ“ Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/ ๐Ÿ“ Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/ โ—โ— DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers’.
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners. ๐Ÿ”— Course website with learning resources: https://antern.co/pages/ml001.html ๐Ÿ’ป Code: https://github.com/ayush714/ML001-Project-Sources-Code-and-Learning-Materials โœ๏ธ Course developed by Ayush Singh. Check out his channel: https://www.youtube.com/c/neweraa โญ๏ธ Course Contents โญ๏ธ โŒจ๏ธ (0:00:00) Course Introduction โŒจ๏ธ (0:04:34) Fundamentals of Machine Learning โŒจ๏ธ (0:25:22) Supervised Learning and Unsupervised Learning In Depth โŒจ๏ธ (0:35:39) Linear Regression โŒจ๏ธ (1:07:06) Logistic Regression โŒจ๏ธ (1:24:12) Project: House Price Predictor โŒจ๏ธ (1:45:16) Regularization โŒจ๏ธ (2:01:12) Support Vector Machines โŒจ๏ธ (2:29:55) Project: Stock Price Predictor โŒจ๏ธ (3:05:55) Principal Component Analysis โŒจ๏ธ (3:29:14) Learning Theory โŒจ๏ธ (3:47:38) Decision Trees โŒจ๏ธ (4:58:19) Ensemble Learning โŒจ๏ธ (5:53:28) Boosting, pt 1 โŒจ๏ธ (6:11:16) Boosting, pt 2 โŒจ๏ธ (6:44:10) Stacking Ensemble Learning โŒจ๏ธ (7:09:52) Unsupervised Learning, pt 1 โŒจ๏ธ (7:26:58) Unsupervised Learning, pt 2 โŒจ๏ธ (7:55:16) K-Means โŒจ๏ธ (8:20:21) Hierarchical Clustering โŒจ๏ธ (8:50:28) Project: Heart Failure Prediction โŒจ๏ธ (9:33:29) Project: Spam/Ham Detector ๐ŸŽ‰ Thanks to our Champion and Sponsor supporters: ๐Ÿ‘พ Wong Voon jinq ๐Ÿ‘พ hexploitation ๐Ÿ‘พ Katia Moran ๐Ÿ‘พ BlckPhantom ๐Ÿ‘พ Nick Raker ๐Ÿ‘พ Otis Morgan ๐Ÿ‘พ DeezMaster ๐Ÿ‘พ AppWrite — Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp
๐Ÿ”ฅ Data Science Master Program (Use Code “๐˜๐Ž๐”๐“๐”๐๐„๐Ÿ๐ŸŽ”): https://www.edureka.co/masters-program/data-scientist-certification This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms. Below are the topics covered in this Data Science for Beginners tutorial video: 00:00 Agenda 2:44 Introduction to Data Science 9:55 Data Analysis at Walmart 13:20 What is Data Science? 14:39 Who is a Data Scientist? 16:50 Data Science Skill Set 21:51 Data Science Job Roles 26:58 Data Life Cycle 30:25 Statistics & Probability 34:31 Categories of Data 34:50 Qualitative Data 36:09 Quantitative Data 39:11 What is Statistics? 41:32 Basic Terminologies in Statistics 42:50 Sampling Techniques 45:31 Random Sampling 46:20 Systematic Sampling 46:50 Stratified Sampling 47:54 Types of Statistics 50:38 Descriptive Statistics 55:52 Measures of Spread 55:56 Range 56:44 Inter Quartile Range 58:58 Variance 59:36 Standard Deviation 1:14:25 Confusion Matrix 1:19:16 Probability 1:24:14 What is Probability? 1:27:13 Types of Events 1:27:58 Probability Distribution 1:28:15 Probability Density Function 1:30:02 Normal Distribution 1:30:51 Standard Deviation & Curve 1:31:19 Central Limit Theorem 1:33:12 Types of Probablity 1:33:34 Marginal Probablity 1:34:06 Joint Probablity 1:34:58 Conditional Probablity 1:35:56 Use-Case 1:39:46 Bayes Theorem 1:45:44 Inferential Statistics 1:56:40 Hypothesis Testing 2:00:34 Basics of Machine Learning 2:01:41 Need for Machine Learning 2:07:03 What is Machine Learning? 2:09:21 Machine Learning Definitions 2:!1:48 Machine Learning Process 2:18:31 Supervised Learning Algorithm 2:19:54 What is Regression? 2:21:23 Linear vs Logistic Regression 2:33:51 Linear Regression 2:25:27 [More]
Looking for a career upgrade & a better salary? We can help, Choose from our no 1 ranked top programmes. 25k+ career transitions with 400 + top corporate companies. Exclusive for working professionals: https://glacad.me/3ysSqDM ๐Ÿ”ฅ Get the free certificate of completion for the Artificial Intelligence With Python Course, Register Now: https://glacad.me/3pRBkvC People skilled in Artificial Intelligence are paid around $150k per annum. Top companies such as Google, Facebook, Apple, and Microsoft invest heavily in the R&D of their Artificial Intelligence systems. Keeping the importance of artificial intelligence in mind, we have come up with this full course on Artificial Intelligence. Visit Great Learning Academy, for free access to full courses, projects, data sets, codebooks & live sessions: https://glacad.me/3k19Wrx ————————————————————————————————————————————————————- This session will be taken by Professor Mukesh Rao, who is the Director of Education Data Science at Great Learning. Professor Mukesh Rao has over 20 years of industry experience in Data Science, Market Research and Project Management and has conducted over 100 corporate trainings. ————————————————————————————————————————————————————- These are the topics covered in this Artificial Intelligence Tutorial: *Introduction – 00:00:00 *History Behind Deep Neural Networks – 00:02:02 *Relationship between Biological Neuron and Artificial Neuron – 00:08:05 *Working of Perceptron – 00:018:05 Demo on McCullohPitt and Rosenblat Neurons-00:55:34 *Architecture of Artificial Neural Network- 01:17:35 *Activation Functions – 02:20:11 *Demo on Wine Dataset using Keras Sequential Model – 03:35:00 *Back-propagation and Gradient Descent Algorithm -06:13:00 *Demo on MNIST Dataset – 6:44:55 ——————————————————————————————————– Visit Great Learning Academy, to get access to 80+ free courses with [More]
This video contains a stepwise implementation of python code for object detection based on the OpenCV library. The following are the list of contents you will find inside the video. 1) basic understanding of object detection and image classification 2) installation of necessary libraries 2) line by line implementation for object detection using OpenCV a) Single Image b) Video.mp4 c) Live Webcam List of labels to download https://github.com/pjreddie/darknet/blob/master/data/coco.names Configuration file https://gist.github.com/dkurt/54a8e8b51beb3bd3f770b79e56927bd7
In this spaCy tutorial, you will learn all about natural language processing and how to apply it to real-world problems using the Python spaCy library. ๐Ÿ’ป Course website with code: http://spacy.pythonhumanities.com/ โœ๏ธ Course developed by Dr. William Mattingly. Check out his channel: https://www.youtube.com/pythontutorialsfordigitalhumanities โญ๏ธ Course Contents โญ๏ธ โŒจ๏ธ (0:00:00) Course Introduction โŒจ๏ธ (0:03:56) Intro to NLP โŒจ๏ธ (0:11:53) How to Install spaCy โŒจ๏ธ (0:17:33) SpaCy Containers โŒจ๏ธ (0:21:36) Linguistic Annotations โŒจ๏ธ (0:45:03) Named Entity Recognition โŒจ๏ธ (0:50:08) Word Vectors โŒจ๏ธ (1:05:22) Pipelines โŒจ๏ธ (1:16:44) EntityRuler โŒจ๏ธ (1:35:44) Matcher โŒจ๏ธ (2:09:38) Custom Components โŒจ๏ธ (2:16:46) RegEx (Basics) โŒจ๏ธ (2:19:59) RegEx (Multi-Word Tokens) โŒจ๏ธ (2:38:23) Applied SpaCy Financial NER ๐ŸŽ‰ Thanks to our Champion and Sponsor supporters: ๐Ÿ‘พ Wong Voon jinq ๐Ÿ‘พ hexploitation ๐Ÿ‘พ Katia Moran ๐Ÿ‘พ BlckPhantom ๐Ÿ‘พ Nick Raker ๐Ÿ‘พ Otis Morgan ๐Ÿ‘พ DeezMaster ๐Ÿ‘พ AppWrite — Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp
** RPA Training: https://www.edureka.co/robotic-process-automation-certification-courses ** This session on What is Blue Prism will cover all the basics concepts related to the Blue Prism platform. Below are the topics covered in this RPA Blue Prism Tutorial video: 1:31 What is RPA? 2:51 RPA Tools 5:31 What is Blue Prism? 6:16 Features of Blue Prism 9:06 Blue Prism Components 12:36 Hands-On #edureka #edurekarpa #edurekablueprism #blueprism #whatisblueprism Join Edurekaโ€™s Meetup community and never miss any event โ€“ YouTube Live, Webinars, Workshops, etc. https://bit.ly/2EfTXS1 Subscribe to our Edureka YouTube channel to get video updates: https://goo.gl/6ohpTV Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka SlideShare: https://www.slideshare.net/EdurekaIN How does it work? 1. This is a 4 Week Instructor-led Online Course, 25 hours of assignment and 20 hours of project work 2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training, you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate! ————————————————————————————– About the Robotic Process Automation Course Edurekaโ€™s RPA training helps you to understand the concepts around Robotic Process Automation using the leading RPA tool named โ€˜UiPathโ€™. Robotic Process Automation is the automation of repetitive and rules-based human tasks working with the software applications at the presentation/UI level i.e. no software integrations are needed at middleware, server or database levels. In this course, you will learn about the RPA concepts and [More]
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๐Ÿ”ฅ Enroll for FREE Machine Learning Course & Get your Completion Certificate: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=MachineLearning&utm_medium=Description&utm_source=youtube This Machine Learning tutorial will help you understand why Machine Learning came into the picture, what is Machine Learning, and the types of Machine Learning., Machine Learning algorithms with a detailed explanation on linear regression, decision tree & support vector machine, and at the end you will also see a use case implementation where we classify whether a recipe is of a cupcake or muffin using SVM algorithm. Dataset Link – https://drive.google.com/drive/folders/1W7kaFk2vUkwEfvFwuLyJpMX5-ZH7uPyy Machine Learning Tutorial Part – 2: https://www.youtube.com/watch?v=_Wkx_447zBM Below topics are explained in this Machine Learning tutorial: 00:00 – 00:45 Why Machine Learning? 00:45 – 04:52 What is Machine Learning? 04:52 – 11:34 Types of Machine Learning 11:34 – 16:41 Machine Learning Algorithms 16:41 – 25:43 Linear Regression 25:43 – 34:00 Decision Trees 34:00 – 36:02 Support Vector Machine 36:02 – 01:02:40 Use case: Classify whether a recipe is of a cupcake or a muffin using SVM Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Download the Machine Learning Career Guide to explore and step into the exciting world of Machine Learning, and follow the path towards your dream career- https://bit.ly/2VTB8Nc You can also go through the Slides here: https://goo.gl/m5Txob Watch more videos on Machine Learning: https://www.youtube.com/watch?v=7JhjINPwfYQ&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy #MachineLearning #MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse #Simplilearn What is Machine Learning? Machine learning is a core sub-area of artificial intelligence; it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to [More]
** RPA Training: https://www.edureka.co/robotic-process-automation-training ** This session on RPA Blue Prism will cover all the basic concepts of the RPA Tool Blue Prism. Following are the topics covered in the video: What is Robotic process Automation? RPA Tools What is Blue Prism? Features of Blue Prism Blue Prism Components Benefits of Blue prism Case Study of Blue Prism Companies Using Blue Prism RPA Playlist: https://bit.ly/2B53HLe RPA Blog Series: https://bit.ly/2Ay1bzG Subscribe to our Edureka YouTube channel to get video updates: https://goo.gl/6ohpTV Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka How does it work? 1. This is a 4 Week Instructor-led Online Course, 25 hours of assignment and 20 hours of project work 2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training, you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate! ————————————————————————————– About the Robotic Process Automation Course Edurekaโ€™s RPA training helps you to understand the concepts around Robotic Process Automation using the leading RPA tool named โ€˜UiPathโ€™. Robotic Process Automation is the automation of repetitive and rules-based human tasks working with the software applications at the presentation/UI level i.e. no software integrations are needed at middleware, server or database levels. In this course, you will learn about the RPA concepts and will gain in-depth knowledge on UiPath tool using which you will be able [More]
Learn Artificial Intelligence from leading experts and attain a Dual Certificate in AI and Machine Learning from world-renowned universities. Take the step towards your professional growth by obtaining expertise in the real-world application of the latest technological tools of AI. Over 500+ Hiring Partners & 8000+ career transitions over varied domains. Know More: https://glacad.me/3qSjmt0 For data sets, code files and projects associated with course please enroll for free at: https://www.greatlearning.in/academy/learn-for-free/courses/machine-learning-with-python Machine learning is changing the world that we live in. Top companies such as Facebook, Google, Microsoft and Amazon are looking for machine learning engineers and the average salary of a machine learning engineer is around 120k$ dollars. Visit Great Learning Academy, to get access to 80+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. https://glacad.me/3uBbddU Get the free Great Learning App for a seamless experience, enroll for free courses and watch them offline by downloading them. https://glacad.me/3cSKlNl This full course on Machine Learning with Python will be taught by Dr Abhinanda Sarkar. Dr Sarkar is the Academic Director at Great Learning for Data Science and Machine Learning Programs. He is ranked amongst the Top 3 Most Prominent Analytics & Data Science Academicians in India. He has taught applied mathematics at the Massachusetts Institute of Technology (MIT) as well as been visiting [More]
Learn how to use TensorFlow 2.0 in this full tutorial course for beginners. This course is designed for Python programmers looking to enhance their knowledge and skills in machine learning and artificial intelligence. Throughout the 8 modules in this course you will learn about fundamental concepts and methods in ML & AI like core learning algorithms, deep learning with neural networks, computer vision with convolutional neural networks, natural language processing with recurrent neural networks, and reinforcement learning. Each of these modules include in-depth explanations and a variety of different coding examples. After completing this course you will have a thorough knowledge of the core techniques in machine learning and AI and have the skills necessary to apply these techniques to your own data-sets and unique problems. โญ๏ธ Google Colaboratory Notebooks โญ๏ธ ๐Ÿ“• Module 2: Introduction to TensorFlow – https://colab.research.google.com/drive/1F_EWVKa8rbMXi3_fG0w7AtcscFq7Hi7B#forceEdit=true&sandboxMode=true ๐Ÿ“— Module 3: Core Learning Algorithms – https://colab.research.google.com/drive/15Cyy2H7nT40sGR7TBN5wBvgTd57mVKay#forceEdit=true&sandboxMode=true ๐Ÿ“˜ Module 4: Neural Networks with TensorFlow – https://colab.research.google.com/drive/1m2cg3D1x3j5vrFc-Cu0gMvc48gWyCOuG#forceEdit=true&sandboxMode=true ๐Ÿ“™ Module 5: Deep Computer Vision – https://colab.research.google.com/drive/1ZZXnCjFEOkp_KdNcNabd14yok0BAIuwS#forceEdit=true&sandboxMode=true ๐Ÿ“” Module 6: Natural Language Processing with RNNs – https://colab.research.google.com/drive/1ysEKrw_LE2jMndo1snrZUh5w87LQsCxk#forceEdit=true&sandboxMode=true ๐Ÿ“’ Module 7: Reinforcement Learning – https://colab.research.google.com/drive/1IlrlS3bB8t1Gd5Pogol4MIwUxlAjhWOQ#forceEdit=true&sandboxMode=true โญ๏ธ Course Contents โญ๏ธ โŒจ๏ธ (00:03:25) Module 1: Machine Learning Fundamentals โŒจ๏ธ (00:30:08) Module 2: Introduction to TensorFlow โŒจ๏ธ (01:00:00) Module 3: Core Learning Algorithms โŒจ๏ธ (02:45:39) Module 4: Neural Networks with TensorFlow โŒจ๏ธ (03:43:10) Module 5: Deep Computer Vision – Convolutional Neural Networks โŒจ๏ธ (04:40:44) Module 6: Natural Language Processing with RNNs โŒจ๏ธ (06:08:00) Module 7: Reinforcement Learning with Q-Learning โŒจ๏ธ (06:48:24) Module 8: Conclusion and Next Steps [More]
Virtual Assistant jobs are everywhere…we just have to be looking for them in the right places. You may have heard me say this before, but it’s as true today as it ever has been. I believe that Virtual Assistance is the easiest way to earn money and work from home online. I know, I know – there are so many options and decisions, it can make your head spin! There are so many Virtual Assistant jobs for beginners, and I want to tell you about 7 of my favorite virtual assistant jobs for beginners! Are you ready? RESOURCES MENTIONED: https://www.helpscout.com https://calendly.com https://acuityscheduling.com https://www.teamup.com https://calendar.google.com https://thevirtualsavvy.com/canva https://www.helpareporter.com https://thevirtualsavvy.com/bbo OTHER VIDEOS YOU MAY LIKE: Make Money From Home (As A Virtual Assistant) https://www.youtube.com/watch?v=GtofQr4bI7I&t=4s Virtual Assistant 101 (Make $ as a VA!) https://www.youtube.com/watch?v=FKEA1-GQkvg&t=1s Virtual Assistant Skills 2020 Mega List https://www.youtube.com/watch?v=6XkXuYA3i8Q&t=168s _____________________________________ SAY โ€œHIโ€ ON SOCIAL ๐Ÿ‘‹๐Ÿ‘‹ Facebook: https://www.facebook.com/TheVirtualSavvy Facebook Group for VAs: https://facebook.com/groups/vasavvies Instagram: https://instagram.com/thevirtualsavvy Pinterest: https://pinterest.com/thevirtualsavvy #virtualassistantjobs #workfromhome Virtual Assistant Jobs For Beginners (EASY!) https://youtu.be/wO3ngGHgbvY
๐Ÿ”ตEdureka Python Programming Certification Course (Use Code “๐˜๐Ž๐”๐“๐”๐๐„๐Ÿ๐ŸŽ”): https://www.edureka.co/python-programming-certification-training This Edureka video on Python Full Course will help you learn the Python programming language and its core concepts with examples from scratch. Below are the topics covered in this Python tutorial video: 00:00 Introduction 01:55 What is Python? 03:40 Why is Python popular? 04:55 Features of Python 6:50 Where is Python used in the industry? 7:50 Learning Path 9:15 Career Opportunities 10:30 How Netflix use Python? 11:55 How does it use Python? 18:15 Python Developer Salary 18:50 Who is Python Developer? 19:20 Python Developer Job Trends 21:55 How to become a Python Developer? 23:05 Who is a Python developer? 33:50 Job Roles 41:40 Emerging Job Roles 44:30 Road Map 47:05 Python Installation 54:30 How to run a Python program? 58:35 Best IDE for Python 59:35 What is an IDE? 59:50 Features of an IDE 1:00:50 Best IDEs of Python 1:07:40 PyCharm Tutorial 1:07:42 Introduction to PyCharm 1:09:07 Features of PyCharm 1:28:02 Comments in Python 1:28:52 What are Comments? 1:29:47 When to use Python? 1:30:22 How to write comments in Python? 1:32:22 Types of Comments 1:35:57 Docstring Comments 1:39:02 Variables & Data Types 1:39:17 Variable definition & Declaration 1:41:22 Data Types 1:41:42 Numbers 1:43:12 String 1:46:02 List 1:48:12 Dictionary 1:50:12 Tuple 1:51:27 Set 1:53:52 Type Conversion 1:54:42 Python Collections 1:57:12 Specialised Collections Data Types 2:14:57 Arrays 2:15:32 What is an Array? 2:17:27 How to create Arrays in Python? 2:20:52 Accessing Array Elements 2:22:42 Basic Array Operations 2:24:27 Adding elements to an [More]
This half hour tutorial takes you step by step through the fundamental concepts you need to know to build a no code chatbot with Power Virtual Agents. Watch and pause and build your own bot side by side with this step-by-step instructional video. You will learn: – How to create a bot – What topics are and how to create them – How to use variables to store information from the user response for the bot to use later – What entity extraction is and how it enables the bot to have a natural conversation, including skipping questions – How to test your bot, and publish it to a demo website to share with others – How to use Power Automate to call an action – in this example we post information from a bot chat into Microsoft Teams – How to use the topic redirect feature
This video contains python implementation of Realtime Face Emotion Recognition 1) Brainstorming (background of facial emotion recognition) (i)Challenges in FER 2013 dataset 2) OpenCV for drawing rectangles and overlaying text data 3) Face emotion recognition using DeepFace library 4) Live Video demo using OpenCV + DeepFace for Webcam
This Artificial Intelligence tutorial video will help you understand what is Artificial Intelligence, types of Artificial Intelligence, ways of achieving Artificial Intelligence and applications of Artificial Intelligence. In the end, we will also implement a use case on TensorFlow in which we will predict whether a person has diabetes or not. Artificial Intelligence is a method of making a computer, a computer-controlled robot or a software think intelligently in a manner similar to the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. Artificial Intelligence is emerging as the next big thing in the technology field. Organizations are adopting AI and budgeting for certified professionals in the field, thus the demand for trained and certified professionals in AI is increasing. As this new field continues to grow, it will have an impact on everyday life and lead to considerable implications for many industries. Now, let us deep dive into the AI tutorial video and understand what is this Artificial Intelligence all about and how it can impact human life. ๐Ÿ”ฅFree Artificial Intelligence Course: https://www.simplilearn.com/learn-ai-basics-skillup?utm_campaign=AI&utm_medium=Description&utm_source=youtube The topics covered in this Artificial Intelligence Tutorial are as follows: 1. What is Artificial intelligence? 2. Types of Artificial intelligence 3. Ways of achieving artificial intelligence 4. Applications of Artificial intelligence 5. Use case – Predicting if a person has diabetes or not To learn more about Artificial Intelligence, subscribe to our YouTube channel: youtube.com/c/SimplilearnOfficial Download the Artificial Intelligence Career Guide and take a sneak [More]
This python AI project will teach you how to make a virtual assistant like iron man Jarvis in Python. โ–บSource Code: https://codewithharry.com/videos/python-tutorials-for-absolute-beginners-120 โŒšTimeStamps: 00:00 โ€“ Introduction 01:30 โ€“ Python Course Information 02:35 โ€“ Jarvis AI Basic Details 05:45 โ€“ Jarvis AI Demo 09:36 โ€“ Downloading VS Code & Python IDLE 10:08 โ€“ Starting VS Code (Coding begins here!) 10:54 โ€“ Defining Speak Function – This Function will program your Jarvis to speak something. 15:25 โ€“ Defining Wishme Function – This Function will make your Jarvis wish you according to system time. 18:27 โ€“ Defining Take command Function – This Function will allow your Jarvis to take microphone input from the user and returns a string output. 27:30 โ€“ Coding logic of Jarvis 28:04 โ€“ Defining Task 1: To search something on Wikipedia 31:24 โ€“ Defining Task 2: To open YouTube site in browser 32:34 โ€“ Defining Task 3 : To open Google site in browser 33:37 โ€“ Defining Task 4 : To play music 36:58 โ€“ Defining Task 5 : To know current time 38:45 โ€“ Defining Task 6 : To open VS Code Program 41:05 โ€“ Defining Task 7 : To send E-mail 44:03 โ€“ Declaring Send email function – It will define all crucial things like to whom you wanna send an email and its content. 50:52 โ€“ Free Python Course Details 51:26 โ€“ Recapitulate 56:13 โ€“ Is it an AI? 58:30 โ€“ The END This Python personal assistant tutorial will properly teach you how to create J.A.R.V.I.S [More]
๐Ÿ”ฅIntellipaat RPA course: https://intellipaat.com/rpa-training/ In this RPA tutorial for beginners video you will learn what is Robotic Process Automation (RPA), and the various tools which can be used to implement the RPA technology. RPA training is in much demand these days so we have come up with this video where we will show you how to create RPA programs using the UiPath Tool. So this RPA UiPath tutorials video is your one stop video for the basic rpa concepts required to get started with this technology. #RPATutorialForBeginners #UiPathTutorials #RPATraining ๐Ÿ“Œ Do subscribe to Intellipaat channel & get regular updates on videos: http://bit.ly/Intellipaat ๐Ÿ”— Watch RPA video tutorials here: https://www.youtube.com/watch?v=txi-Ah-LRv8&list=PLVHgQku8Z9354mv4GbH-dn7FW1LBaKS5h ๐Ÿ“• Read complete RPA tutorial here: https://intellipaat.com/tutorial/rpa-tutorial/ โญ Get RPA cheat sheet here: https://intellipaat.com/tutorial/rpa-tutorial/rpa-cheat-sheet/ ๐Ÿ“• Read insightful blog on what is RPA: https://intellipaat.com/blog/what-is-rpa/ ๐Ÿ“ฐInterested to learn RPA still more? Please check similar RPA certification blog here: https://intellipaat.com/blog/robotic-process-automation-certification/ ๐Ÿ“Following topics are covered in this RPA tutorial for beginners video: Why RPA – 0:44 What is RPA – 4:01 Automation v/s RPA – 5:36 RPA Tools – 11:04 Introduction to UiPath – 14:23 Hands-on (Our first RPA Program) – 18:13 Working of Orchestrator – 27:47 How to create an object – 59:41 Logging in application – 1:49:36 If youโ€™ve enjoyed this video on What is Robotic Process Automation video, Like us and Subscribe to our channel for more similar informative RPA course tutorials. Got any questions about RPA training? Ask us in the comment section below. —————————- Intellipaat Edge 1. 24*7 Life time [More]