Machine Learning Full Course 2022 | Learn Machine Learning | Machine Learning Tutorial | Simplilear
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This complete Machine Learning full course video covers all the topics that you need to know to become a master in the field of Machine Learning. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will help you learn different Machine Learning algorithms in Python.
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Dataset Link - https://drive.google.com/drive/folders/15lSrc4176J9z9_3WZo_b91BaNfItc2s0
Below topics are explained in this Machine Learning course for beginners:
Table of contents
Basics of Machine Learning
Why Machine Learning
What is Machine Learning
Types of Machine Learning
Supervised Learning
Reinforcement Learning
Supervised VS Unsupervised
Linear Regression
Introduction to Machine Learning
Application of Linear Regression
Understanding Linear Regression
Regression Equation
Multiple Linear Regression
Logistic Regression
What is Logistic Regression
What is Linear Regression
Comparing Linear & Logistic Regression
What is K-Means Clustering
How does K-Means Clustering work
What is Decision Tree
How does Decision Tree work
Random Forest Tutorial
Why Random Forest
What is Random Forest
How does Decision Tree work-
K-Nearest Neighbors Algorithm Tutorial
Why KNN
What is KNN
How do we choose 'K'
When do we use KNN
Applications of Support Vector Machine
Why Support Vector Machine
What Support Vector Machine
Advantages of Support Vector Machine
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/3axFsY2
Watch more videos on Machine Learning: https://www.youtube.com/watch?v=7JhjINPwfYQ&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy
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➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
Learn more at: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=MachineLearningFCJan5&utm_medium=Description&utm_source=youtube
?? Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688"
Видео Machine Learning Full Course 2022 | Learn Machine Learning | Machine Learning Tutorial | Simplilear автора Применение нейронных сетей в транспорте
Видео Machine Learning Full Course 2022 | Learn Machine Learning | Machine Learning Tutorial | Simplilear автора Применение нейронных сетей в транспорте
completemachinelearningcourse learnmachinelearning machinelearingbasics machinelearning machinelearningalgorithms machinelearningcourse machinelearningengineer machinelearningengineersalary machinelearningengineerskills machinelearningforbeginners machinelearningtutorial machinelearningwithpython simplilearnmachinelearning
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30 декабря 2023 г. 5:02:50
09:33:36
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