python for data science and machine learning bootcamp reddit - Brave Search

Best online Python for DS / ML course in 2025?

reddit.com › r › learnpython › comments › 1lppyxq › best_online_python_for_ds_ml_course_in_2025

If your Python is good then focus on the nuts and bolts of ML models and statistics. On staying current: The fundamentals have not changed that much. DS models fall into 3 categories, traditional stats, ML models that aren't neural networks, and deep learning. If you used a fifteen year old book you'll find regression models are exactly the same, ensemble models (e.g., random forest, boosting) have changed a little bit, but you'll always have to justify "why not just use a random forest?" in interviews or work anyway, so you might as well start with the fundamentals. Deep learning has changed the most, but again, you'll be expected to understand the fundamentals, what is backpropogation, activation functions, and if you want to go into DL-focused data science you'll have to have some basic understanding that goes beyond that, but again it builds on old fundamentals. I would say stick with whatever you think is best, 5 years isn't that old, and just understand if you want to work with "GenAI" you'll have to fill in the gaps. If you find you want to do more traditional DS, honestly the scikit-learn docs are fantastic. I studied Elements of Statistical Learning a few years back and felt like it prepared me very well. I actually appreciate that it's not Python-specific because having to discover and explore the different python ML/stats libraries on your own is a great way to learn. Answer from n1000 on reddit.com

reddit.com › r/learnpython › python for data science and machine learning bootcamp, thoughts?

r/learnpython on Reddit: Python for Data Science and Machine Learning Bootcamp, thoughts?

August 26, 2017 -

What are your thoughts on this course? Its currently on sale for 10 dollars and encompasses most of what I need. Is it worth the 10 dollars or are there better paid or free resources?

I'm not an expert on the topic but I'll share my limited experience. First, Udemy always offers their courses for $10. It's like going to JCPenney and being excited for a sale. Sales are their business model. Don't feel time-pressured by the sale's deadline. It will repeat over and over and over again. Next, I've never taken a Udemy course but I have no reason to believe their courses offer anything I can't get elsewhere... for free. If there's a particular topic on which I feel ill-prepped, I might reach out to the community for a good resource (and it might be Udemy). But with so many free courses available, I've shied away from those that cost money. I'm only open to paying if they have something I want but can't find elsewhere... and I haven't reached that point yet. Where are you in the learning process? Are you trying to learn anything in particular? I'm happy to share the various resources I've been using to learn. Take what I say with a grain of salt because, at best, I'm barely more experienced than you but at least we share something in common.

You can find free resources online for all the topics covered, but I'm happy to pay the $10 for the structure and consistency of the course. With so much information out there, it's very easy to get lost going down a random rabbit hole, so to have a centralized system saves time and energy.

reddemy.com › course › python-for-data-science-and-machine-learning-bootcamp

Reddit comments on "Python for Data Science and Machine Learning Bootcamp" Udemy course | Reddemy

#24 in Best of Udemy: Reddemy has aggregated all Reddit submissions and comments that mention Udemy's "Python for Data Science and Machine Learning Bootcamp" course by Jose Portilla. See what Reddit thinks about this course and how it stacks up against other Udemy offerings.

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reddit.com › r/learnpython › best online python for ds / ml course in 2025?

r/learnpython on Reddit: Best online Python for DS / ML course in 2025?

July 2, 2025 -

I'm a data analyst with a decent grounding in Python -- I'd like to develop my skills in DS and ML, in which I'm a beginner.

I got partway down this Udemy (Python for Data Science and Machine Learning Bootcamp with Jose Portilla) course that was great -- although it's five years old and I hear the field is changing rapidly.

Before I spend too much time on it, are there any other better courses that are more current?

If your Python is good then focus on the nuts and bolts of ML models and statistics. On staying current: The fundamentals have not changed that much. DS models fall into 3 categories, traditional stats, ML models that aren't neural networks, and deep learning. If you used a fifteen year old book you'll find regression models are exactly the same, ensemble models (e.g., random forest, boosting) have changed a little bit, but you'll always have to justify "why not just use a random forest?" in interviews or work anyway, so you might as well start with the fundamentals. Deep learning has changed the most, but again, you'll be expected to understand the fundamentals, what is backpropogation, activation functions, and if you want to go into DL-focused data science you'll have to have some basic understanding that goes beyond that, but again it builds on old fundamentals. I would say stick with whatever you think is best, 5 years isn't that old, and just understand if you want to work with "GenAI" you'll have to fill in the gaps. If you find you want to do more traditional DS, honestly the scikit-learn docs are fantastic. I studied Elements of Statistical Learning a few years back and felt like it prepared me very well. I actually appreciate that it's not Python-specific because having to discover and explore the different python ML/stats libraries on your own is a great way to learn.

If you’re looking for something current and hands-on, check out our Data Scientist in Python and Machine Learning Engineer in Python paths. We keep them updated regularly and focus on real-world projects, not just the theory. Plus, there’s a supportive community where you can ask questions, get feedback on your projects, and connect with others on the same path. All the best!

reddit.com › r/python › i shared a python data science bootcamp (7+ hours, 7 courses and 3 projects) on youtube

r/Python on Reddit: I shared a Python Data Science Bootcamp (7+ Hours, 7 Courses and 3 Projects) on YouTube

November 15, 2024 -

Hello, I shared a Python Data Science Bootcamp on YouTube. Bootcamp is over 7 hours and there are 7 courses with 3 projects. Courses are Python, Pandas, Numpy, Matplotlib, Seaborn, Plotly and Scikit-learn. I am leaving the link below, have a great day!

Bootcamp: https://www.youtube.com/watch?v=6gDLcTcePhM

Data Science Courses Playlist: https://youtube.com/playlist?list=PLTsu3dft3CWiow7L7WrCd27ohlra_5PGH&si=6WUpVwXeAKEs4tB6

Thank you, will give it a watch

reddit.com › r/learnpython › course recommendation for python for data science

r/learnpython on Reddit: Course recommendation for Python for Data Science

May 6, 2024 -

Hi,

I am a R user hoping to pick up Python, especially the data science relevant libraries such as NumPy, Pandas, Scikit-Learn, etc. I have a good background in statistics (and am comfortable using R for running models). I have in the past completed till day 35, the Udemy course by Angela Yu. I loved her teaching and the course, but felt it was focused way too much on front-end development (after the the great initial intro till day 30), so discontinued it. Is there any such course (paid or free) that you would recommend for the data science libraries in Python? I checked the course by Jose Portilla (https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/?couponCode=KEEPLEARNING), but the latest reviews all seem to say that it is outdated (it was last updated 4 years back). While I am open to theory based courses, I would prefer project based hands-on courses. Thanks!

That course is severely outdated and uses a very old unstable (<1.x.y) of scikit-learn in the latter part of the course and therefore has a lot of depreciated code as scikit-learn went through a number of refinements in its API for version 1.0.0 which was released after this course. Jose Portilla has a newer course on Udemy which is essentially the same course but an updated version and uses a newer version of scikit-learn (>1.x.y) which has a more stable API: Python for Machine Learning and Data Science by Jose Portilla (Udemy) . I'm not sure why Udemy recommends the old version over the newer version. I recommend supplementing the course with the textbook Python and Data Analysis by Wes McKinney (Open Access) , the founder of the Pandas Library.

since you're coming from R, I totally get the transition challenge! for learning python data science libs, i actually built preswald while teaching myself these tools and found project-based learning super helpful. here's what worked for me: start with pandas - its actually pretty similar to R's dataframes. the 10 minutes to pandas tutorial on their website is gold then numpy (its like the backbone of everything). dont need to go too deep, just basics for ML stuff scikit-learn has amazing documentation with practical examples instead of following courses, id recommend picking a small project you care about - maybe something you've done in R - and rebuild it in python. you'll learn way faster that way! if you want a quick way to experiment, you could try preswald (what i built) - its basically a way to write python/sql and instantly create data apps. might be nice for comparing your R and python implementations side by side but honestly whatever tool you use, just build stuff! courses are good but nothing beats actual projects for learning imo good luck! lmk if you need any other tips for the R -> python journey 🙂

reddit.com › r/learnpython › does jose portilla's "python for data science and machine learning bootcamp" require maths knowledge?

r/learnpython on Reddit: Does Jose Portilla's "Python for Data Science and Machine Learning Bootcamp" require maths knowledge?

January 25, 2024 -

I like his course, from SQL to Python. At the moment, I am considering to enrol his "Machine Learning Bootcamp". However, I only did maths in high school in China. I am not sure whether His Machine Learning course needs a lot of Maths knowledge or not.

No, but some theory is always welcomed to truly understand what the Python functions are doing under the hood.

not the right question and am too late but dos the Masterclass teach the math part too? i bought bootcamp and they don;t teach the math part of algorithms

reddit.com › r/learnpython › masterclass or bootcamp? (jose portilla)

r/learnpython on Reddit: Masterclass or Bootcamp? (Jose Portilla)

May 20, 2022 -

Hello people,

I've been looking into courses on Udemy as I'm interested in learning python and then some data analysis/science. I'm going to take the "100 days of code" as it comes so highly recommended, but I'm thinking about taking one of Jose Portilla's alongside it.

There appear to be two with very similar names:

"Python for Data Science and Machine Learning Bootcamp" is the most popular with over 100k reviews.

"2022 Python for Machine Learning & Data Science Masterclass" looks awfully similar but I never hear anyone talk about this one, and it has far less reviews at just over 7k. It also appears to have more material (44hrs vs 25hrs).

Does anybody know the difference between the two/which would be better for me to take?

I'm also open to any alternative suggestions/advice, the only thing I know for sure right now is I am taking the 100 days of code.

This is a bit late, but just saw this show up on a random google search I did. Go with the Masterclass one, its the newer one (unfortunately due to Udemy rules/ no versioning system, it makes it tricky to just swap out one course for another)

Peakson_valleys, I've purchased a couple of courses by Jose Portilla and all I can say is that they are both excellent! One of them happens to be " Python for Data Science and Machine Learning Bootcamp". I love it! I'd recommend checking the course descriptions and watching some of the preview videos to see if you can spot the differences before making up your mind. It might be a matter of emphasis of each course. But I'd say you'll probably be pleased with either.

reddit.com › r/learnpython › what's the best course for learning python and data science?

r/learnpython on Reddit: What's the best course for learning Python and Data Science?

December 30, 2021 -

Hi everyone, I was wondering if I could get any recommendations or suggestions on the best online course I can take to learn Python and Data Science? I've been a data analyst for 3 years now, dabbling into a little bit of machine learning on past projects but certainly not the bulk of my work. I worked with SAS for 2 years, and the past year I've been using SQL (although during my SAS time I used SQL through SAS).

I want to learn python, focused mostly on data analytics/science, so I'm looking for a course to take. I know there are plenty of free sources out there, but I need some structure to stay focused when I'm starting out. I took two intro Python courses about a year ago and have used it sparsely here and there, so I'm not a complete beginner but fairly new to it. I've looked at these two so far.

100 Days of Code: The Complete Python Pro Bootcamp for 2022. Looks good for learning Python, but it looks like there's a lot of web-development content.

Python for Data Science and Machine Learning Bootcamp. Looks like it covers a lot of the data science aspect, but maybe not as good for someone with only a little bit of Python experience.

https://automatetheboringstuff.com/ https://ehmatthes.github.io/pcc/ Do those 2 courses in that order, then come back here for data science recommendations

I was in the same boat a while back, trying to figure out the best way to learn Python and Data Science. After trying a bunch of different courses, here’s what worked best for me: I started with Automate the Boring Stuff with Python, which was great for getting comfortable with Python basics. Then, I took Jose Portilla’s Python for Data Science & ML Bootcamp on Udemy, which helped bridge the gap between Python and real-world Data Science applications.For more structured learning, I joined the Logicmojo Data Science classes and it really helped me get hands-on experience with real-world projects, SQL, and ML models. Alongside that, I also followed Andrew Ng’s Machine Learning course on Coursera, which is a must for understanding ML fundamentals. Once I had the basics down, I started practicing on Kaggle that’s where I really learned how to apply my knowledge with real datasets. If you r serious about Data Science, I’d highly recommend focusing on hands on projects and working with real-world datasets rather than just watching tutorials. These projects actually add value to your resume. I have created my GitHub also with projects I learned. Interviewer can directly see your Github, it creates a good impression about your work experience in data science. In short : Start with Python basics (Automate the Boring Stuff), take a solid Data Science course and get your hands dirty with Kaggle. Learning by doing makes all the difference.

Find elsewhere

Google Bing Mojeek

reddit.com › r/learnmachinelearning › i shared a python data science bootcamp (7+ hours, 7 courses and 3 projects) on youtube

r/learnmachinelearning on Reddit: I shared a Python Data Science Bootcamp (7+ Hours, 7 Courses and 3 Projects) on YouTube

February 3, 2024 -

Hello, I just shared a Python Data Science Bootcamp on YouTube. Bootcamp is over 7 hours and there are 7 courses and 3 projects. Courses are Python, Pandas, Numpy, Matplotlib, Seaborn, Plotly and Scikit-learn. I am leaving the link below, have a great day!

https://www.youtube.com/watch?v=6gDLcTcePhM

Is this training you developed and produced videos for?

Iyi sanslar ve basarilar :)

reddit.com › r/learnpython › is jose portilla's python for data science and machine learning boutcamp outdated?

r/learnpython on Reddit: Is jose portilla's python for data science and machine learning boutcamp outdated?

July 9, 2023 -

And if it is, should i avoid it completely or do some specific parts

It should not. I believe he still update them at least if there's any significant changes with the development of the library, in a form of note (you'll definitely notice it as you progress with the course). Just make sure you don't skip non-video lectures. I'm preparing an interview with Pandas. I revisiting the course right now. The thing I like about Jose Portilla is he going through the topics really well. Not too fast and it's very beneficial for slow-learner like me.

No it is not. It teaches you the fundamentals of both the theory and the tools. Any incremental improvements since the last updates are good starting points for your own research into tooling and keeping up with it. The latest and shiniest offering is not always the best way of learning as certain things become too highly abstracted. I would still recommend it to any beginner and intermediate without hesitation.

reddit.com › r/learnpython › need help in learning python for data science and ml

r/learnpython on Reddit: Need help in learning Python for data science and ML

May 27, 2025 -

Hey, can anyone please share best courses and study groups to learn python from scratch. I am looking to move to a career in AI, so need guidance and mentoring. Please help.

Need a mentor.

The best way to start is by setting clear learning goals instead of picking random courses. Begin with Python basics, then move to data handling (NumPy, pandas), data visualization, and core stats/math. Once that’s solid, get into ML with scikit-learn, then go deeper into model tuning and deep learning (TensorFlow or PyTorch). Choose courses that help you hit these steps one by one, it keeps things focused and way less overwhelming.

IBM course is there for Python for data science

reddit.com › r/codingbootcamp › python for ml bootcamp

r/codingbootcamp on Reddit: Python for ML bootcamp

July 16, 2024 - A subreddit dedicated to questions and discussions about coding bootcamps. ... Subreddit for posting questions and asking for general advice about all topics related to learning python.

reddit.com › r/datascience › for learning python for data science, would you recommend jose portillas ds/ml bootcamp or masterclass? more info below.

r/datascience on Reddit: For learning Python for Data science, would you recommend Jose Portillas DS/ML bootcamp or masterclass? More info below.

January 16, 2023 -

I have on and off used Python through the years, but now want to specifically use it for data science. I found Jose Portillas masterclass and bootcamp. The masterclass looks more in depth but it does not list neural networks as a topic taught, but the bootcamp does. Some say the masterclass is better overall though but no one mentioned the lack of neural network stuff in it.

For those who took the masterclass, is there neural network stuff in it, or it's not there at all? And if the latter, did it create issues or you felt comfortable enough to learn it on your own based on what was taught in the masterclass?

It is only for beginners. There is no indept explanation in that course.

I think either one will be fine, so I'd recommend to pick the one you like more. It's excellent that you evaluate your options! I would add to that that one of your most important jobs right now is to get started. You have a couple of years ahead of you where you can learn and deepen any additional method that you haven't had the opportunity to learn. 🧡

reddit.com › r/learnpython › should i get a machine learning course or should i get in depth with python first?

r/learnpython on Reddit: Should I get a machine learning course or should I get in depth with python first?

October 23, 2022 -

I'm really interested in ML but I'm not sure whether to start with an ML course or a more general python course.

These are my picks for the courses:

ML: https://www.udemy.com/course/python-data-science-machine-learning-bootcamp/ or https://www.udemy.com/course/python-for-machine-learning-data-science-masterclass/

Python: https://www.udemy.com/course/100-days-of-code/ or https://www.udemy.com/course/complete-python-bootcamp/

Learn python and all the basics really well first

Python > data engineering > ML

reddit.com › r/learnpython › i'm confused

r/learnpython on Reddit: I'm confused

September 7, 2023 -

Hello everyone. I'm a civil engineer by profession but recently I gained interest in data analysis, since I believe it's more future oriented. As of now I've started learning python but I'm confused as to which source to follow. Please i need on the matter since as a beginner a lot of courses seem favourable on bith YouTube and coursera. But what should be my road map and which source should i follow. Please help. Thank you.

There are a lot of good recommendations in this subs faq

Most of the courses on Edx, Udemy and Coursera have some preview or audit which you can try to see if you like the instructors style... I'd advise taking a course on just Python and getting the basics down before looking at any of the data science libraries numpy, pandas, matplotlib, seaborn and then being really comfortable with these before starting with scikit-learn. I also took a few courses on the online platforms. 100 Days of Code: The Complete Python Pro Bootcamp for 2023 by Angela Yu: https://www.udemy.com/course/100-days-of-code/ The start of the course is excellent for learning Python and has lots of videos alongside test problems which are used to cement concepts. It then moves more towards web development past day 40. The Modern Python Big Ideas and Little Code by Raymond Hettinger: https://www.oreilly.com/library/view/modern-python-livelessons/9780134743400/ This is a short video course that explains the strengths of Python and some of its common standard libraries. He is a Python core developer and wrote the libraries, so knows precisely how they work. This course is really good for learning how to make your code more Pythonic but would only look into it after competing a beginner course: The Python for Machine Learning & Data Science Masterclass by Jose Portilla: https://www.udemy.com/course/python-for-machine-learning-data-science-masterclass/ Jose explains some of the key concepts in the data science libraries numpy, pandas, matplotlib and seaborn. The course assumes you are already familiar with Python. Be careful to ensure you take the up to date version of the course as he has other similar courses on Udemy that are substantially outdated. On Coursera itself, the most popular courses are by Andrew Ng (deeplearning.ai): https://www.coursera.org/search?query=machine%20learning%20andrew%20ng&productTypeDescription=Specializations I've just glanced through these. There is a Machine Learning Specialization (beginner), Supervised Machine Learning: Regression and Classification (intermediate) and Machine Learning Engineering for Production (MLOps) Specialization (advanced). Although the first course is a beginner course, and Andrew Ng is brilliant for explaining theoretical concepts. I'd recommend familiarity with Python and the Data Science Libraries before getting started. Some useful texts to read in the area. Python Distilled by David M. Beazley: https://www.oreilly.com/library/view/python-distilled/9780134173399/ This covers the basics of Python. Python for Data analysis by Wes McKinney: https://wesmckinney.com/book/ He is the founder of the pandas library and this is a great text on numpy, pandas and matplotlib. An Introduction to Statistical Learning with Applications in Python: https://www.statlearning.com/ One of the go to statistics books, was previously written in R but has recently been updated to have a Python variant. Maybe its also too much information but hopefully it helps a bit.

reddit.com › r/learnpython › i want to get better at python for data science. any advice?

r/learnpython on Reddit: i want to get better at Python for data science. any advice?

January 13, 2025 -

im okay at python, but i want to learn more about pandas without waiting for a sale on Udemy. if anyone can give me any resources or even online courses specifically for pandas that would be amazing

Putting two youtube resources you may try... https://youtu.be/DkjCaAMBGWM?si=TJieMMKAOYsSJWv9 https://youtube.com/playlist?list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy&si=mC_vlUIUOPXFL-Cd

I recently started working through Intro to Statistical Learning in Python and they use pandas heavily. There's a book , labs , video lectures and problem sets with solutions .

reddit.com › r/businessintelligence › i shared a python data science bootcamp (7+ hours, 7 courses and 3 projects) on youtube

r/BusinessIntelligence on Reddit: I shared a Python Data Science Bootcamp (7+ Hours, 7 Courses and 3 Projects) on YouTube

February 4, 2024 -

Hello, I just shared a Python Data Science Bootcamp on YouTube. Bootcamp is over 7 hours and there are 7 courses with 3 projects. Courses are Python, Pandas, Numpy, Matplotlib, Seaborn, Plotly and Scikit-learn. I am leaving the link below, have a great day!

https://www.youtube.com/watch?v=6gDLcTcePhM

Thank you for the resource! I'll definite check it out.

reddit.com › r/pythontips › i shared a beginner friendly python data science bootcamp (7+ hours, 7 courses and 3 projects) on youtube

r/pythontips on Reddit: I shared a Beginner Friendly Python Data Science Bootcamp (7+ Hours, 7 Courses and 3 Projects) on YouTube

April 29, 2024 -

Hello, I shared a Python Data Science Bootcamp on YouTube. Bootcamp is over 7 hours and there are 7 courses with 3 projects. I covered Python fundamentals, data analysis, data visualization, feature engineering and machine learning with the libraries of Python. Courses are Python, Pandas, Numpy, Matplotlib, Seaborn, Plotly and Scikit-learn. I also added 3 projects to the bootcamp, one for data analysis, one for regression and one for regression. I am leaving the link below, have a great day!

https://www.youtube.com/watch?v=6gDLcTcePhM

This will be terrific. It took me 9 hours to become a Data Scientist.

reddit.com › r/learnpython › jose portilla python for data science and machine learning bootcamp or masterclass? the masterclass doesn't seem to have anything on neural nets.

r/learnpython on Reddit: Jose Portilla Python for Data Science and Machine Learning bootcamp or masterclass? The masterclass doesn't seem to have anything on neural nets.

January 16, 2023 -

I have some experience in python and want to apply it to ML and Data science. I looked at both of these courses and they look great. Some posts recommend the masterclass, but when looking side by side at the curriculums, the bootcamp has 5 hours dedicated to neural nets but the masterclass has nothing for neural nets.

Neural nets are big for ML. For this reason, should I pick the bootcamp, or am I missing something about the masterclass and neural nets in it?

Thanks!

Do you want to create your own ML frameworks? Or do you want to use frameworks that other people have already built?

reddit.com › r/datascience › just finished jose portilla's udemy course on data science and machine learning. sharing thoughts and looking for suggestions on further learning

r/datascience on Reddit: Just Finished Jose Portilla's Udemy course on Data Science and Machine Learning. Sharing thoughts and looking for suggestions on further learning

May 23, 2022 -

I'm a data professional of 4+ years by the way of a biostatistics heavy masters-my work experience included first using STATA to do more inferential statistics stuff (GLMs, survival analysis) and then I learned R to do a bunch of stuff outside of even statistics and programming/automating. Though I have the years of experience, coding skills and took some short-courses on ML/data science here and there I never actually took a full-length DS/ML dedicated course and nor have I used ML at work so decided to enroll in this course to help me learn ML in a deeper sense (no pun intended hehe).

I took Jose Portilla's General Python programming course and thought it was excellent for me. I have tried learning Python previously through books (Learn Python the Hard Way) and websites like codecademy and data camp, but this course really helped me learn all the fundamentals. After taking the course and doing some practice problems, I feel comfortable enough to know how to program in Python.

I decided to then take his ML/DS bootcamp. As I went through the lectures, I found it much harder to follow/keep up with the course than the programming course. I will give him credit that in 25 hours he was trying to teach both fundamentals and syntax of Python's data science libraries so because he couldn't realistically do all that (and did refer to introduction to statistical learning as a companion source), the course weighed heavily on syntax. As a result, I ended up finding it hard to focus and started skimming through most of the lectures (and took me months to finish this course because I felt so disengaged at some point). I feel comfortable with pandas and the visualization libraries in Python (I'm already extremely comfortable with tidyverse and ggplot2 in R) through this course but when it came to the ML lectures, I still don't feel comfortable with unsupervised/deep learning and Spark.

I came to the conclusion I don't feel like lectures/videos are really the best method to learn this material. Does anybody have any suggestions as to what worked for you (especially those who have not done DS as a degree)? I have looked through the Introduction to Statistical Learning book years ago and started looking into it again now but sometimes that can get overwhelming as well.

Insight is appreciated. Thank you!

I liked Jose Portilla's DS/ML masterclass course a lot but I took an entire year to work through it. It was also tough for me at times, and I didn't have the energy to do the exercises that accompanied the course mostly, I think, because I needed more "real" challenges - if that makes sense. The exercises were good - just really not my cup of tea. But the interesting thing is, nowadays I'm really not bad with the (basic) theory of machine learning as many of the lectures stuck with me. It proved to be a really good basis for interviews, too, where I could use the knowledge I acquired on classification even though I've only done regression problems so far. Since I finished the course I have mostly learned by working on projects. I had some gaps in my statistics knowledge, so working on and solving a project (from data sourcing to showcasing my PoC), made me jump leaps ahead of where I was 6 months ago. Application of knowledge in a project is where the work actually gets interesting but is also where your mettle is tested, skill-wise. You have an extensive background in statistics so that should be good. The question is: how much deeper do you want/need to go? ML has so many different sub-domains, maybe doing a project could help you figure out where else you could invest your time and energy in - in order to get the best out of it for you. For example, maybe your statistics is sufficient for now but working on your coding/ETL skills might really make you jump ahead. When you do a project front to end you'll figure that out very quickly. 😄

Does anybody have any suggestions as to what worked for you Books + select lectures from other unis. I hop aroud until I found whatever clicks for me. Going to sound cliché but projects help so much as well. I think the moment that deep learning became 100 % clear to me was when I started doing CNN based ensemble's. Coding these from scratch is what helped me the most in the long run.