Congratulations to you for completing this course. In this course on the journey to machine learning we saw that how we take raw data and pre process it , we clean it and after that we perform an EDA on it and gain more information about it and after this when data becomes healthy meaning it gets ready for machine learning algorithms, then we make different models of machine learning and apply on that data , here whether we are making some predictions or making recommendations or solving problems of decision making , we saw that how supervised approaches, unsupervised approaches and how reinforcement learning approaches help us for making decisions in business processes. We also saw that classification algorithms and regression algorithms help in what way to classify data . Now the thing is that after seeing all these concepts and after studying all these and the experiments that we did during the course, after doing all that what should we further do. Now further you have two things to do, the first is practice and here there are assignments and quizzes and so you must do these assignments and quizzes with a lot of interest because it will enhance your current knowledge and make you understand concepts better. Now see the next target is to grab a job or to switch a job , so when you want a new job then at that time small experiments you should do on your own also so on the basis of your learning you should pick a new data set and on that apply the same algorithm and now it is important here that after applying the algorithm we have done predictions for all and checked their accuracies and classification reports, so you will see that the part of evaluating the model and when you apply the algorithm on your data set , then give importance to data evaluation also and there you interpret it that in what way on applying a model an accuracy is attained , so interpretation is a very important thing which is discussed in lot of interviews also and asked also. Now after doing interpretation you will understand that for which hyperparameters what value you had kept and now you must adjust the hyperparameters , tune them and after tuning again evaluate the model, so with tis your understanding will even be better and your preparation will provide you basic understanding along with advanced understanding , and how to tune advanced parameters with different data sets , in different situations and this will also help you a lot for interviews. Last tip for the interview is that always remember the basics , fundamentals and basics should always be remembered ,it should not happen that we skip fundamentals while learning advanced topics. So now let us move forward and once again I will congratulate you for getting the certificate, now you will get the certificate. And now also if there is any question in your mind or if there is any doubt in your mind ,then you must definitely use the discussion forum because group learning and community learning is very impactful and like you many other learners are learning this course and earning a certificate, so you must also connect with them and If you have any queries or comments, click the discussion button below the video and post there. This way, you will be able to connect to fellow learners and discuss the course. Also, Our Team will try to solve your query.
good learning but the content titles are jumbled up, like first title of this module is decision tree dichotomiser which is practical part ahead of theory part. Same with the SVM practical 1 title has
Isakki Alias Devi P
yes, i am happy to learning for machine learning in LearnVern.it i s easily understanding for Beginners.
Superb and amazing 😍🤩 enjoyable experience.
Muhammad Nazam Maqbool
Absolutely good course... will suggest it to everyone. has superb content that is covered in a fantastic way.
super course and easily understanding and Good explaned
Ruturaj Nivas Patil
Very well explained in entire course. Great course for everyone as it takes from scratch to advance level.