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In this video on Machine Learning with R, you will understand machine learning, applications of machine learning, and learn R programming. In this machine learning full course, you will also understand machine learning algorithms, such as linear regression, logistic regression, decision tree, and random forest to name a few.
Dataset Link – https://drive.google.com/drive/folders/1DeoJO7NdoZ56jAM_6ruuWYiroVbpy9wK
The topics covered in this Machine Learning Tutorial video are:
00:00:00 Introduction
00:00:57 Machine Learning Basics
00:31:50 Machine Learning Applications
00:13:41 R programming
05:51:08 Linear Regression in R
06:20:14 Logistic Regression in R
06:38:20 Decision Tree in R
07:22:28 Random Forest in R
07:47:36 Support Vector Machine in R
08:24:41 Hierarchical Clustering in R
08:48:33 Time Series Analysis in R
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#MachineLearningWithR #MachineLearningFullCourse #MachineLearningTutorial #MachineLearning #SimplilearnMachineLearning #MachineLearningCourse
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 new data, these computer programs are enabled to learn, grow, change, and develop by themselves. So, put simply, the iterative aspect of machine learning is the ability to adapt to new data independently. This is possible as programs learn from previous computations and use “pattern recognition” to produce reliable results.
R is a widely popular programming language in the field of machine learning. R is an open-source programming language used for statistical computing. It is one of the most popular programming languages today. R was inspired by S+, which is similar to the S programming language. R has various data structures and operators. It can be integrated with other programming languages like C, C++, Java, and Python.
➡️ About Artificial Intelligence Engineer
This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.
✅ Key Features
– Add the IBM Advantage to your Learning
– 25 Industry-relevant Projects and Integrated labs
– Immersive Learning Experience
– Simplilearn’s JobAssist helps you get noticed by top hiring companies
✅ Tools Covered
– ChatGPT
– Flask
– Matplotlib
– django
– Python
– Numpy
– Pandas
– SciPy
– Keras
– OpenCV
– And Many More…
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🔥IITG – Professional Certificate Program in Generative AI and Machine Learning (India Only) – https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=6dEUTmoXz0w&utm_medium=Comments&utm_source=Youtube
Hi, this is a really good video! I have a question about the demo of hierarchical clustering: In the script, I cannot find where sales has been included in clustering dendrogram? How does the euclidean distance calculated? What does X-axis and Y-axis represent? Why at the first beginning, plot RoR-sales and plot Fuel_Cost-sales were run? I am looking forward to your answer.
Hi, I have another question regarding the inference drawn from time series analysis: For the subset filtered one month data, the expert divided it into several weeks and concluded that the consumption is higher on weekdays than weekends. How can we be sure that the first day of that month is Monday? What if it starts with let's say, Wednesday?
It was very helpful, kindly send me dataset to my mail srirammadhu999@gmail.com
I have stopped learning from youtube I don't know but I feel there is vry less information about resources from which you can self learn. this courses are quite straight forward and boring for a beginner person.
in short I mean instead of single video of full course I prefer the course to be divided in many of such videos – that is my way of doing it, otherwise I have given up a lot of times on this single full course videos.
Hope this might be useful for someone like me
Please provide the datasets used in this video..
Can I please get the data sets please ? My email is fishermatthieu@gmail.com
Can you please send me all the files to (pipingmasterexpert@gmail.com). Thanks a million!
Can you please send me all the files to (aptmap2020@gmail.com). Thanks a million!
Please send me dataset files on rajwindermaths@gmail.com
Wow! Amazing video. I have seen a lot of you tube videos, but this is short, clear and precise and very organized video.
Thank you amazing presentation.
Yes it is very helpful tutorial. I would be appreciated if I get the dataset which makes every more clear. How can I get the datasets?
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Please provide the data sets to mail id/ video description
At 6:37:34, you predict res<- for predicted test data, then override by predicting train data. You're supposed to predict the test data, not train.
Please let people know of that mistake, it could really be detrimental for a research.
I cannot access the auction data used for the early exampes – where do I get this? Thank you, enjoying the video.
where to find the dataset
how can we get the data and syntax that used in the tutorial
Please help me with the datasets used in Introduction to machine learning with R course in Simplilearn website. I'm stranded without the datasets.
Where can I get the datasets from you guys? Can you provide me your email so I Can request the data sets used in the video?
Great Video. Could you please share code used here as well?
This video is really amazing😊. Please, can I get all the datasets so I can practice while learning?
What is mtry in random forest function?
Can you provide the code/ syntax? Data is provided in the comment detail but codes are not. I commented about this but was deleted for some reason.