#66 on Reddit
Machine Learning A-Z: Hands-On Python & R In Data Science
Udemy
27 recommenders · 34 threads · recommended in 6 years, 2017–2023 · score 30.6
A hands-on Udemy course teaching practical machine learning in both Python and R, covering regression, classification, clustering, and other common algorithms with template code. Instructors named in comments are Kirill Eremenko and Hadelin de Ponteves (SuperDataScience).
Commenters call it a practical, straightforward starting point that is well taught and comes with reusable Python and R templates.
Machine Learning & AIbeginnerpaidvideo lectures#machine learning#python#r#regression#classification#eremenko
Recommendations by year
20172023
Go take Machine Learning A-Z on Udemy by Kirill Eremenko and Hamelin de Ponteves. They’ll give you a really great intro to Python, pandas, stats, and a great into to data science. It’s the best class I have ever taken and I have been in tech for over 20 years.
Look at Machine Learning A-Z on Udemy by Kirill Eremenko. He’s got classes on Tableau [popular analytics platform] and data science [which is the analytics for the future]. Their class is the best I have ever taken in my 20-year tech career
I have done all three recommendations and they are very solid. The Hands-On ML book is probably my favorite as it is easy to read and understand. Udemy ML A-Z is one of the best courses I have taken and they have template scripts you can use for your projects.
CodewithMosh.com has an excellent intro python class. For an intro to data science my top recommendation for an intro is Machine Learning A-Z on Udemy. They have both R and Python (skip the R and focus on Python) - its the same content but just two different programming languages. They walk you…
The best intro class is Machine Learning A-Z on Udemy. They walk through both the code and the math. It will give you a good introduction to many types of algorithms.
**Step by Step process for high schoolers to learn machine learning** **1. LEARNING PYTHON:** I would suggest learning Python as it is easy to learn and has many useful libraries for Machine Learning. I recommend Numpy, Pandas, and Matplotlib for data manipulation and visualization. If you already…
This^^^^ If you are analytical, go to a coding bootcamp or data science bootcamp and start working in 6 months. Some jobs in tech will be replaced by AI but for a long time businesses will need business-to-computer translation where you tell the computer what people need. The colleges now are…
This x 3. There’s an excellent class on Udemy called Machine Learning A-Z that has an excellent introduction to all things Python and Sci-py. If you want to get deeper into Pandas DataCamp has an excellent class.
There is a Udemy course called *Machine Learning A-Z™: Hands-On Python & R In Data Science* [+] which I personally began with. There is also *Machine Learning Guide* [+] podcast which I found surprisingly useful, both in explaining terms, concepts and roadmaps, as well as introducing learning…
Learn Python, and get good with Scikit-Learn and TensorFlow. There's a good machine learning course on Udemy by Joe Portilla which is on offer quite frequently for ~£13. Highly recommend it. *Hands-On Machine Learning* is another good resource too. Best of luck with your journey.
If you can afford a paid course, I suggest you take this course from udemy https://www.udemy.com/course/machinelearning/ It's well organized and well explained.
I really recommend getting the A-Z machine learning course on udemy, it’s taught in both python and R and the concepts are usually explained in a very straightforward manner. In regards of what to expect there’s a lot of concepts relating to statistics and probability so I would definitely take…
I like realPython.com for pure Python coding and Machine Learning A-Z on Udemy for a great data science intro (literally the best technology class I have ever taken).
I can tell you about Ng's ML course. I completed it last year. It is very Mathematical. All the important ML algorithms are explained in great detail with their mathematical intuition. Linear regression, logistic regression, Neural networks, Support Vector Machines, Dimensionality Reduction…
I would suggest this course https://www.udemy.com/course/machinelearning/ I took a time a go and it's a great start.
Andrew Ng courses can be very math heavy, if you a comfortable with that go ahead. I myself started my journey on Udemy, doing “machine learning a-z” by Kirill Eremenko. Great course and goes through some basic to advance machine learning algorithms.
If you're from India you can do NPTEL Course called as deep learning part 1, and part 2 by iit madras Hands down it was one of the best courses I've taken for concepts Try udemy machine learning A-Z and deep learning A-Z
I have completed the ML A-Z course on Udemy. It's a good course to clear the basics, it gives clear idea about basic algorithms and how to implement them. I have not taken the nano degree on udacity so I can't say much about it but I would suggest first go through one basic course (whichever you…
Python is super easy to learn and given your .net experience it should be a cakewalk. The thing is, if you plan to learn from scratch, machine learning pairs best with python due to the simplicity and straightforwardness of the combination. To answer your other question, udemy is probably the best…
There is a very big demand for data scientists to know web development (to create dashboards where you present your findings and data using plotly), and back-end development for data engineering (since most companies don't realize you should hire a data engineer to build up your pipeline). Thus, I…
Many people follow a bottom up approach of learning mathematics=> ML Theory => Programming Language (Python or R) => Starts doing practical. Then some people like me.. they learn some theory and do some practicals at the same time.. learn something more... do some more practical... and so on. I…
I highly recommend this Udemy course: Machine Learning A-Z™: Hands-On Python & R In Data Science. It's extremely thorough and covers a lot of the theory instead of just telling you to put in X code and running it.
I have taken both courses. Andrew Ng's course is more theoretically as in you learn the math behind machine learning. Once you take this class, apply your knowledge to Machine Learning A-Z as the course wants you to start apply ML techniques to data sets.
Take a look at Udemy's ML A-Z course. If you have a grasp over Python, you will find it very useful. I am doing it currently, and it is extremely exhaustive and well taught. Though it is not free, but you will get a torrent of the course, which you can easily download, if you just want to learn…
Hi! I'm also new to machine learning and I've started with the Andrew NG course to begin with. I'm up till week 5 and I have to say it's a brilliant course. It was recommended to me by almost everyone I know, as a starting point for data science. But some of my seniors have suggested that Udemy's…
I would recommend taking the Udemy course Machine Learning A to Z. You’ll learn about ML as well as more about numpy pandas and sklearn.
If you want to get on ML and start writing codes asap, start with the Udemy course. I am currently working through the Udemy course and its been awesome. Two reasons: 1) It gives you the intuition needed to write your codes in R & Python 2). Works with a real life data. Although these projects are…
Even though I'm not a professional yet, I'd suggest taking a look at this - https://www.udemy.com/machinelearning/
Edit: fast.ai teaches with a **Top Down** approach they start with the solution and spend the whole course explaining the code. You should finish the course Pytorch and keras are python libraries. Python is easy really, dont put it off because something seemed hard at the beginning. If you want a…
If you know linear algebra, calculus, some programming (understanding loops), and basic statistics then do Andrew's course. If not, do ML A-Z. I did Andrew's first then ML A-Z. ML A-Z has no quizzes or homework but they give you great templates in R and Python to work with. I found the course to…
This is a good list. Do you recommend starting Andrew's famous course before ML A-Z? i really like the instructors in the Udemy course. They break things down very easily.
I like the languages you chose. I never seen any courses for learning computational thinking. I can recommend a Udemy course called: Machine Learning A-Z™: Hands-On Python... I think it might be intellectually interesting to you.
I recommend a video course on Udemy called Machine Learning A-Z
If you are not mathematically inclined, check out https://www.udemy.com/machinelearning/learn/v4/overview I also suggest this if you want to be an over-achiever : https://www.udacity.com/course/intro-to-machine-learning--ud120 If you find you are really enjoying it or can convince your employer…
I started with Udemy ML courses from SuperData Science. Can highly recommend. Already took from them also Deep Learning and AI.
Machine learning is very much math. I took a course on udemy by Jose Portilla, and it was great. But it is a lot of math to be honest, but more like a logical kind of math rather than calculating stuff. There are a lot of formulas and statistics involved (or there can be), but the course book ISLR…
There's a great class on udemy with machine learning data science applications. I don't remember the exact name of it atm but I believe it's by superdatascience Ninja edit: uses numpy and pandas if you're looking into learning those libraries
I have some views on this.. will write to you in a bit here.. short answer is : depends on your background and what do you intend to do with it. Brb Edit: My background: 10+ years in trading at a bank. Undergrad commerce + and MBA in Finance. But very interested in automation for a while. Learnt…
Here is my advice: First of, its not the rest of your life... just one small step in the next 60+ years. So relax and don't stress yourself too much. You general idea of a portfolio sounds good. The courses you have taken seem to be more focused on the theoretical part instead of the more modern…
I have taken several courses on Udemy in Data Science and Machine Learning from Kirill Erenmenko and Hadlin de Ponteves, Jose Portilla, and Frank Kane. These are fantastic instructors! I agree with sinseption as well. The Deep Learning A-Z course is kind of meant to follow the ML course (can be…
Wow, I had no idea that the Udemy courses had increased in price so much... While I enjoyed the "A to Z" course a couple years ago, I wouldn't pay $200 for it. Anyone have a *bang for your buck* recommendation...? This guy has a rather entertaining intro to ML video series on YouTube.