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Complete iOS 14, Swift 5 and Machine Learning with CoreML

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Complete iOS 14, Swift 5 and Machine Learning with CoreML Build An Amazing iOS 11 app Using CoreML New What you'll learn Description The Ultimate iOS 14, Swift 5 Masterclass This course is designed like an in-person coding bootcamp to give you the most amount of content and help with the least amount of cost. This course will be devoted to Swift 4 Language Basics Topics. I'll be guiding you all throughout the basic language topics such as intro to the UI elements add all the apps and games that we're going to be building together. Thank you for signing up for the course!


Chatbot & Messenger Marketing Course

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Learn how to build and use your very own chatbot using Flow Xo and Manychat on Facebook, the #1 platform for marketing messenger. First things first, thank you for taking the time to stop by and check out my Chatbot & Messenger Marketing Course. I am a Full Stack Web Developer running a successful IT company that has grown and progressed to be at the center stage of information and technology. With more than 5 years of digital marketing experience, I provide effective computing strategies and solutions to private and government organizations. I am also using my skills to generate a 6 figure income by doing freelancing on many platforms such as Fiverr, Upwork & Social Media LinkedIn.


Data Science: Natural Language Processing (NLP) in Python

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Created by Lazy Programmer Inc. English [Auto-generated], Indonesian [Auto-generated], 5 more Created by Lazy Programmer Inc. In this course you will build MULTIPLE practical systems using natural language processing, or NLP - the branch of machine learning and data science that deals with text and speech. This course is not part of my deep learning series, so it doesn't contain any hard math - just straight up coding in Python. All the materials for this course are FREE. After a brief discussion about what NLP is and what it can do, we will begin building very useful stuff.


Python for Data Science and Machine Learning Bootcamp

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Preview This Course - GET COUPON CODE Description Are you ready to start your path to becoming a Data Scientist! This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms! Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems! This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!


Advanced AI: Deep Reinforcement Learning in Python

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This course is all about the application of deep learning and neural networks to reinforcement learning. If you've taken my first reinforcement learning class, then you know that reinforcement learning is on the bleeding edge of what we can do with AI. Specifically, the combination of deep learning with reinforcement learning has led to AlphaGo beating a world champion in the strategy game Go, it has led to self-driving cars, and it has led to machines that can play video games at a superhuman level. Reinforcement learning has been around since the 70s but none of this has been possible until now. The world is changing at a very fast pace.


Machine Learning & Linear Regression

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This course is targeted for Beginner Python Developers who want to kickstart their journey in Machine Learning. In this course, we are going to use a linear regression model from scikit-learn library in Python to predict the total no. of positive cases for COVID19 in a particular state in India. After completing this course, you'll be able to:


2021 Complete Computer Vision Bootcamp, Zero-Hero in Python

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This Course is will teach you Computer Vision and Image Processing Techniques From Basic to Advance Level. This Course Provide all high quality content to learn and become Industry level Expert. We worked Really hard to explain the concepts of Computer Vision and Image Processing and the necessary mathematics behind each concept. You will get a Clear Idea about how computer understand and work with images and video Data. We will Start with a Short Python course where you will learn to code in python and will have clear understanding of python syntax and some advance concepts like python generators along with Object Oriented Programming.


Complete Linear Regression Analysis in Python

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In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.


Machine Learning Practical: 6 Real-World Applications

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Online Courses Udemy - Machine Learning Practical: 6 Real-World Applications, Machine Learning - Get Your Hands Dirty by Solving Real Industry Challenges with Python 4.3 (1,215 ratings), Created by Kirill Eremenko, Hadelin de Ponteves, Dr. Ryan Ahmed, Ph.D., MBA, SuperDataScience Team, Rony Sulca, English [Auto-generated] Preview this Udemy course -. GET COUPON CODE Description So you know the theory of Machine Learning and know how to create your first algorithms. There are tons of courses out there about the underlying theory of Machine Learning which don't go any deeper – into the applications. This course is not one of them. Are you ready to apply all of the theory and knowledge to real life Machine Learning challenges?


Deep Learning: Advanced NLP and RNNs

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It's hard to believe it's been been over a year since I released my first course on Deep Learning with NLP (natural language processing). A lot of cool stuff has happened since then, and I've been deep in the trenches learning, researching, and accumulating the best and most useful ideas to bring them back to you. So what is this course all about, and how have things changed since then? In previous courses, you learned about some of the fundamental building blocks of Deep NLP. We looked at RNNs (recurrent neural networks), CNNs (convolutional neural networks), and word embedding algorithms such as word2vec and GloVe.