Working on Machine Learning Assignment at Coursera and not able to complete by yourself? OR want to understand the concept along with assignment solution then we have machine learning expert to solve you assignment and explain your code.
Popular machine learning course created by Andrew Ng is publicly available online. The style is engaging, the content well motivated, and he does not hide the maths - without being hard to follow.
Solving assignment by yourself leads to Getting the data, Cleaning the data, Transforming the data, Extracting data from a web site, Struggling with API, Learning Python, Talking to the Machine learning guy, Being nervous about volumes, memory and performance. Learning more Python. Spending two days on a EDA/Model training / graph. Going back to basic stats or the algorithms behind the libraries because we are stuck.
Here are some public question of students on Coursera Machine Learning Assignment ?
Question: Can I skip the programming assignments of Machine Learning on Coursera by Andrew Ng? I find them hard to do, coming from a non-IT background.
Answer: What do you want from the course? Do you want the course certificate? If so, you need to do the programming assignments. Do you want to use the course to begin building a working knowledge of machine learning? Here again, you’ll need to do the assignments. If you don’t want the certificate, and don’t intend to do any direct work with machine learning, but just want to gain some general familiarity, you can choose to skip the programming exercises.
if you want to spend some extra dollar or money so there are many websites that offer Coursera Machine Learning Assignment Help services. either you can get complete solution of given instruction or can book 1:1 live session with experts to understand the solution implementation. Codersarts are serving from last 5 years in the domain and on the top of google search. also you might have heard about some of your student you already have used our services and got 100 % course completion. so if you are also looking for assistance in your Coursera Machine Learning Assignment then contact us via email at contact@codersarts.com with Project title, deadline and requirement files. Our email team will revert back promptly to get started the work.
Question: I have completed Andrew Ng's Coursera class on machine learning. What should I do next? Answer: Congratulation on your recent achievement and welcome to the world of data science. Now that you have completed the course, you know the theoretical part of it. Are you comfortable with applying some of those concepts into real life problems?
If not then start building machine learning based app and deploy for end users. Also you could start working on capstone project or research projects at the end product is everything that help business in decision making and process or task automation
Next goal is find out answers to few very basic questions and some of those are mentioned in the previous answers.
Do you want to be a machine learning researcher or a data scientist?
If you want to go for research then are you interested in theoretical machine learning or application oriented problems?
What is the specific area of machine learning you want to focus on? For example, deep learning, graph mining, item set mining etc
What domain you want to apply your machine learning algorithms? for example, bioinformatics, environmental science, business development etc.
If you want to become a data scientist then how much big data you want to get involved in?
But trust me, these answers are hidden deep inside your conscience. You will have to mine those out. That is going to take at least a year of work. Read machine learning blogs, follow data scientists on Linkedin, follow machine learning questions on Quora, Participate into kaggle competitions.
Once you have the answers to all of the above questions, just get your hands dirty on featured competitions on Kaggle, work on public data, help organizations with their data, help wanna be data scientists.
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