Machine Learning with Python
This course dives into the basics of machine learning using an approachable, and well–known programming language, Python. In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms. In this course, you practice with real–life examples of Machine learning and see how it affects society in ways you may not have guessed! By just putting in a few hours a week for the next few weeks, this is what you’ll get. 1) New skills to add to your resume, such as regression, classification, clustering, sci–kit learn and SciPy 2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more. 3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon …
Courses : 3
Specification: Machine Learning with Python
110 reviews for Machine Learning with Python
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Diego A A R –
Very clear introduction to Machine Learning
Jan P –
Yash S J –
Wonderful course. One must do it to enhance their career in Machine learning
Mohamed M –
This course is a great introduction for people who have a background in Python and mathematics, but from a personal perspective, it should pay more attention to the details of the machine learning algorithms and special cases and do more practice using harder, more inconsistent use cases.
Kuncoro A N –
Daniel B –
Great course! Very informative and visual.
Stefan W –
Great content, peer review process can be a bit painful if someone has submitted a messy, hard–to–trace notebook with a lot of redundant / incorrect cells obfuscating the work.
Akash K M –
NICE COURSE TO START WITH ML
Vydyula A –
Daniel K –
Videos were way too long. They were only about theory and no code was featured. Labs were packed with code without proper explanation. That way of teaching is just not for me.
Luis D C –
Learned a lot in this course, I would’ve liked there were more exercises throught the videos rather than some questions at the end of the section.
Addiel U d A S –
Just the right material. Good.
Christopher A –
Tres bonne introduction et tres bonnes methodes pour introduire les differents modeles de ML.
Kristopher K –
A lot of amazing information in this course. I see myself using the lessons learned in this one very often.
Akos G –
Well structured course and nicely explained examples. Very useful overview
Kyle W –
Out of reach for individuals wanting to do just data analysis. Too much for beginner course.
It is wonderful platform to learn Machine Learning and Data science
Mateo P –
This course has taught me valuable skills on Machine Learning algorithms, as well as hands–on experience with the labs provided in the course. I definitely recommend it!
Gilbert V –
Course is largely a scam. At the end you have to have a peer reviewed project that will prevent you from finishing the course if other people do not grade your project. You can have a high enough overall grade that you could get a 0 on the final and still pass and still be out of luck if people decide to not help with grading, which is exactly what happened to me. Do not waste your time and money if you want to be at the mercy of other people.
Mallangi P R –
I really liked the course content, way of teaching and assignments. This will definitely help a beginner in data analysis to start with
Jayesh M –
Too complex course, some one will do not understand many things out of it.
Rahul G –
Excellent course for understand the knowledge of machine learning as new learner.
Wei J ( T –
Best place to learn ML from scratch
Ukaka M C –
Very okay for anyone aspiring data scientist.
Lucas C –
Very interesting course, full of items. A good introduction to machine learning algorithms with python
Aftab R –
The course appears to assume good competency in Python and does not provide much training on Python. This should be highlighted to students upfront.
Branly F L –
Good job to the coursera team, In this course I learned many things I needed. Thanks a lot.
Juan D P –
Valerio R –
Very nice course
JIAXI G –
Nice course overall
Karen M –
Learned a lot about several types of machine learning and ways to test the different models. Some frustration that the final project instructions were not completely clear.
Dipesh S –
thank you so much for this course, I really enjoyed this course.
Anthony F –
Challenging and fun course that took everything we learned previously and built on it. As someone coming in with RStudio experience, it still stretched out my ability to code in this different language.
Diaeddine L –
Thanks a lot for these information there were really helpful and i have understood those machine learning concepts also how to apply them using python
Melonica M –
The course content is exemplary. Examples given reflects real life issues to understand better. Its is very useful to develop good understanding of the concept.
Stephane D –
4 stars Great Course! missing start Cloud Management / course interrupted because of month credit expired, expected promo code never available… Suggestion : Cloud “Assets” available for the entire course without a stupid limitation
Ahmed G –
Quite an informative course, well presented material without being overbearing for newcomers to ML. Highly recommended to everyone with prior CS experience who wants to get into AI/ML workloads.
Ashish B –
This is a very informative course. The content is amazingly put together. Not only is this course rich in concepts of Machine Learning, but it is also robust in the implementation of ML with Python. This course is a must–read!
Bezawada V –
Need more clarifications about the code in the lab session and the explanation of concepts are Excellent.
Dhruv M –
One of the best course to start with beginner level. Well and detailed explanations are given.
Carolina B –
I think more practice exercise with more variety in difficulty would be really help – as well as links to resources to practice key items (like nesting loops in python)
Arpit G –
Practical solving should be increase
SUBIKESH P S –
The course thoroughly teaches about all the mathematical formulas and theoretical explanation in creating and predicting of data in data models. But I think if he also teaches about various python modules used for data science too, then it would have been much easier to do the assignments.
Fahad T A –
Great Course! I definitely recommend it
Muthu M H –
Great course to learn Machine Learning. The labs were phenomenal.
Thilina P D G –
It has been an incredible journey so far! Thanks IBM & Coursera!
muhammad i –
helpful bacis concept machine learning
Patrick W B –
The lessons are very simple to understand with both logic intuition and mathematical explanations. It is really the best course and beginner friendly. I strongly recommend this course for anyone willing to start a career in Artificial Intelligence technologies.
Qingyue S –
A little bit challenging
vibhaw p –
lorenzo a –
soooo many typoes and small mistakes in this course
RICHARD D –
This Is One of the best Course In Machine learning so far. Tutorial Very Brief and practical. Very interactive lab. Thanks to Coursera and IBM.
William E –
Siddharth S –
Amazing course! Prior knowledge of Python helps!
Ankit S –
Great explanation, nice ungraded tools. But should have more graded assignments
Mriganayana G –
Best course for beginners.
Joao C –
In the entire course, Saheed was the best instructor, hands down. Made ML seem fun and accessible.
Arun P J –
Christopher H –
Anshuman J –
The course content is excellent and everything has been very nicely explained. Very insightful and useful!
Sriram R –
Well designed course with hands on coding tutorials and assignments
Shaik I –
i liked the course very much. liked it a lot.
Deryan T –
Definitely the most difficult, but I learnt so much from this course
Claude N –
Well planned and communicated. Loads of practice and example. Great learning experience!
Laura M G –
Challenging but very informative, well presented
YASH G –
The course was helpful and the final assignment was very good. You have to go through all of the concepts again. But it would be great if assignments would be different for everyone, then validating part would be interesting as well.
Mihail Iulian P –
Very applied. I’ve learned a lot!
Shyam P –
I recommend this course for anyone to head start a machine learning venture.
Sarthak A –
One of the best courses for Gaining new skill’s in Python.Also the Project provided at the end of the course allows us to test the skills we have learned in the course.
Sadabrata K –
Random Forest Classifier is not included. Everything else is very good. Nice course.
Meijuan Z –
Should include more details of ML algorithm, but is nice to people who are new to ML.
Alexis B B –
Johann G G I –
Very explications for subjects importants
Anuar M –
Excellent class for machine learning beginner. Lots of insight on the ML algorithms and what problem does the algorithms used to solve.
Shoaib S –
Recommended for machine learning using python
Monte F –
Great course; learned a lot! 🙂
This course is excellent. It is a very good approach to ML with python without being a mathematician. So forward and well done IBM
El M N –
Pierre P –
That course was very instructive and provides a very good start in the field. The instructors could dive a little bit into more into technical details, or give more examples of algorithm.
Wen W –
I found the instructor is really cool!!
Awesome course for beginners in Machine learning and those who are friendly with Python
Francine S –
The content of courses are great! Went through step by step until a high technical level. Unfortunately, the lab is always out of server, me and others users have been reported the same problems every now and then and nothing changed. I finished the course without practice the labs and I can’t check the exercises to start an own project! Apart from that the whole course is worthwhile.
Oliver E A B –
The course has good explanations of the statistical background and is very practical, but it is unclear how good is the final project, you did it wrong? You will never know.
PRITESH B –
The level was good but most of the people are doing copy paste while submitting assignments.
Angeliki C –
Great Videos, fantastic lab sessions! It has been the best course so far! Congratulations and many thanks to the instructors
Prince V G –
The course was amazing to get started with machine learning. You are going to learn about some amazing machine leaning algorithms and for the capstone project you have to use them to find best accuracy for a dataset. Peer reviewed assignments are really good as they help every student to know different techniques each person use and can learn from them.
Atharva J –
I got a great understanding of the concepts but, there should have been more videos related to the implementation(coding) part. There was just once use of Third party tool for every module and nowhere else…
Bertrand B –
This course is very well defined, with lots of information and samples for each topic, one after the other. The video are interesting, the instructor is good.
Shaharin A –
A good course for beginners but its also very hard to understand all the coding and stuffs
Kanat A –
Timur U –
I really enjoyed this well organized and professional course. I would like to show my appreciation to the manager of this course, especially for a video presentation for each module. The technique to have Query and then Solution is the outstanding feature and helped me to cover all course materials and implement the Assignment tasks on a high level. Thank you so much.
Ed B –
Good course to introduce us to the fundamentals of ML. Some of the routines used are becoming deprecated in the notebooks, and there are quite some spelling errors within the notebooks.
LAURA T G –
Very demanding, that is great!! It is not updated, therefore many instructions are incorrect and instead of 1 hour, one can use 2 or 3 days. The system Watson Studio is not working all the time. I lost many lines in my final project because it stoped before I could save the changes
Shripad L –
The content of the course is very well designed and it is very easy to follow. The Teachers have done a fantastic job explaining the content. I would like to make the following suggestions: There should be more hands on graded exercises. Instead of one exercise at the end, it would have helped if relevant section was graded after it was taught. There is too much focus on Classification. Machine learning consists of equal parts of value prediction and class prediction. There is nothing on things like Linear regression. It should have at least been included as a ungraded exercise, so that I know what Python functions are used.
Abdul R –
Labs Are not responding it sucks a lot
Roger C T –
It’s a very precise and practical course. It focuses on the main ideas and application aspects of M.L., without drilling too deep into the math rationale behind. To get the most from this course, it’s good to equip yourself with basic knowledge in numpy and pandas.
Apurva N –
I was working in an organization on a project related to predictive modelling using python. This course has helped me a lot to increase my knowledge and assisted me in completion of the project in a very smooth way.
Vivek M –
Very useful. Thanks to both instructors for organised presentations
Joann L –
Really interesting subject, but the course material was just insufficient for beginners. The new codes were not explained. Out of all the other courses, I learned the least in this one.
UNMILON P –
Sai K M G –
This is one of the best course which I have taken. The basics were explained very greatly, and also it is very simple to understand the course work.
Sabir A H –
Dorothea M –
I particularly enjoyed this course. It is easy to understand it even with a basic knowledge of Python. Lab exercises are well writen and very helpful for the completion of the course. I think it’s a great introduction to programming using SciKit Learn. Personally, I would have liked to learn a bit more about the mathematical background of the algorithms but maybe this is out of the scope of the course.
Prabhakaran E –
Course content is good, but it is just to introduce the ML algorithms. More self study is required to attain expertise.
Benedict A –
The videos and labs were remarkable in that it was able to concisely communicated vast and complex information. I did have to do additional research to fully understand and appreciate the material because I am not coming from a programming or statistical background.
Retnani L –
it’s easy to follow for those who want to learn machine learning in beginner level
shivam j –
am really honoured with the course and now am more confident about my career on data science as a data scientist
Apurv A S –
Lectures are good but there are not much hands on Practice Assignments.
Ruchika M –
Very good explanation of the concepts. Lab work is also comprehensive and very useful.
shivam s –
Such a best course in the field of machine learning.