🔥 BCS602 | Machine Learning |VTU 6th Sem | Fixed & Pakka Questions for SEE Exam #machinelearning

追加: 2026-05-31

[00:00:00]Hi everyone, welcome back to our channel ESF standards. In this lecture, we're going to discuss about the important questions of sorry it's important not important questions a fixed questions of a machine learning BCS 62 is a subject code BCS 602 and AS standards. So before going to the video I'll tell you some of the important tips to follow the exam.

[00:00:20]So in this lecture I'm going to tell you means I'm going to explain in this two language two audio languages Canada and English both I will going to mix and I will just explain it. Okay. Why? Because some of the students uh from past one to years watching from Canada audio. So now we can start everything. So uh let's go into the video. So yeah if you see that uh in model one uh we don't have a problems if we have I think a PC or PCA something problem is there. If you that model one I leave that model one problem. Yeah. If you see that remaining on all from module 2, model 3, module four, model five, e from each module one one one question important questions fixed questions are there for the problem solving K&N and after that and KN is there also navy bias also is there and so many problems are there from each module four modules you can get easily 40 marks and from model one also one of the problem is there I will tell you in that video also so please uh now the date is I think so 29 yes 29 30 31 okay we have a three days more to practice our exams so from today if you start now I think so much of the students start from the 30 I think we have your finals we have so please everyone start from here only 2930 because in 31 everyone will be busy or in students especially so foreign.

[00:02:01]So uh means everyone please practice them problems problems you should be multiple problems you should practice for each topic. Okay. So I I'll be uploading the that problems also very soon. Yeah. If you see that if you want to mean enroll the course we launched the ESF standards 26 regular course. It's a backlog exam courses. If you have any of the backlo backlog uh you can go through my videos in there every subject we are uploaded.

[00:02:29]So you can see here uh ES is a regular course we are uploaded everything in BC 62. Yeah if you click here if you just for just 99 rupees if you enroll it you're going to not fail in your exams and also not it's not recommend to pay after your exams result 630 rupees or 330 rupees for application fees and or reolution fees. So for just 99 rupees I think everyone purchase our courses.

[00:02:53]Okay, it's the video we are uploaded.

[00:02:55]You can see here a video also uploaded important question also uh everything we are uploaded as sorry answers and important question also we uploaded for uh each modules handwritten important questions from very soon we are going to upload problems also problems with the answer uh the PDF we will upload okay uh let's go into the video in this video I'm going to explain only the two models remaining everything will be shared in our uh everything will be shared in courses link okay we have Google drive you will be shared everything so if you want go through there for this subject we're going to not upload any 2.0 into videos. So it's only the regular video we having for the subject we v subject.

[00:03:39]Yeah. For 60 I think 60 marks you'll get easily in order to you'll get 20 to 20 marks in numerical part. So let's go.

[00:03:47]Okay. Yeah. If you see that uh defend the machine learning explain the relation other fields. Okay. Very important questions. Very important. And after that explain the machine learning after artificial intelligence data mining. Okay. uh state and problems definitions and machine learning very important in this three of the question one of the question is going to come for a seven marks or 10 marks okay so most of the time they are going to ask for 10 marks okay why because numerical parts are there but module one we have multiple questions multiple topics are for chapter one I think chap if you compare the chapter two chapter one has more topics so please everyone focus okay in chapter one only in chapter two if you want yeah we are uploading uh all the notes Yeah, we now only we are going to upload everything notes and test text books everything we are going to upload now only. So you guys can go through that.

[00:04:37]Okay.

[00:04:38]Okay. First question is not recommended.

[00:04:40]It's not important. Okay. Okay. Explain the machine learning process of application suitable exam diagram.

[00:04:44]Explain the elements of big data data types and big data analysis and relation of machine learning. Yeah, it's also very important but not like that. If you want to get 100 out of 100, just read that in this theory of the question. One of the question is going to come in for the just seven marks. Okay. Yeah. If you see that in part three, explain the different types of machine learning with the diagram. Okay. Big data of explanics of big data and problem of IQ sorry PCA I think something I think it's in a biology 40 something is there. Okay. Now IQ problem is very important on the on this topic. They are going to ask you some of the problems. Please read this.

[00:05:21]Okay. Where I will upload the questions and with the answers also if it possible also. Okay. I think theory questions and all we upload the answers there. Okay.

[00:05:30]In this 1 2 3 four purpose of you have very deduction of important doain this also very important in the four of the question one of the questions going to come in exams. So very very important for six marks in case the problem they give they're going to give like something 10 marks. So in this model you can easily score which the questions are very important. So in this module you can score easily 20 out of 20 marks.

[00:05:54]Please remember one thing in module two it will be very difficult to score the marks not this only subject every subject will be difficult to score in module 2 it's very tough okay let's see in problem module 2 I will upload the separate PDF of this okay why because in we didn't here theory questions and all yeah if you want I will upload why because most of the time they are going to ask the numerical part only in the module two okay yeah PCA SVD and candidate elimination algorithm Yeah, in this three of the topics two of the topics is going to come your exams or one topic is going to come for it's definitely 10 marks. Yeah, I will upload the very soon uh some of the theory questions are there. Three four questions are there. That's it. That's it. Okay. In that three four questions you'll get in the questions from that you can get easily 20 to 20 marks in this module. Okay. If you see the module three yeah K and very important question K and question only going to come in exams. Okay. After that K nearest neighbors and problems very important very very important sorry I am I'm explaining all questions it's okay I am going to explain all models questions also ID3 algorithm so in these two of the question concept they're going to ask one of the concept in your exams so it will become like a part B so it's a part A I think please refer everyone K&N that ID3 is not recommended but in case the paper of tough tougher you can easily go through that also So okay after that uh if you see the theory questions explain the decision tree of which is a structure of advantage and disadvantages explain the C3 algorithm tree using a very important decision tree on that they're going to ask you P questions okay on that list and explain the various type of regression regression methods of what is the limitations regression methods okay the local wide white of logistic logistic regression nearest centroid classification in This four of the question one of the question is going to come exam for just 10 marks.

[00:07:52]Okay. For from part one 10 marks part 10 marks you can easily get in this model 20 out of 20 marks without any having a doubt. Okay. If you see the module three Navy bias problem is very very important. Yeah. Before solving the problem please you just do the derivations. Okay. Means yeah theorem theorem is there please understand the theorem. After that you go through the these problems and all. Why? Because if you understand the problem and you can easily go through the problem center something is the three or four steps are there like prior priority and after that based navy bias calculations are there P of CFX AB something formula is there yeah if you see consider that three of that you can get easily 20 marks in this model also yeah it's a very important one first question for 10 marks it's a fixed question on the problem they're going to ask you in exams okay explain the base term and optical classification on posterior probability very important and explain the method of artificial neuron along with the artificial neuron.

[00:08:51]Yeah, I think new role new networks uh structure you studied in the if you if anyone are watching on the AML students for the NLP was there for from that uh you can see these questions all these neural networks and artificial intelligence and machine learning this all in NLP it will be natural language processing the subject are integr means like completely similar to that okay if now another anyone not are watching it's okay it's okay defend the posterior pro explain the base and okay explain the simple model artificial neural along with artificial network structure in this questions which I gave you in this question they are going to ask you fixed questions after the artificial neural structure I think we repeated that question also yeah 1 2 3 four in this four of the question one of the question is going to ask in your exam one question for just for 10 marks okay for 10 marks in this question they're going to ask after that if modify modify uh K means Clustering algorithm very important for that 10 marks in this problem they going to ask yeah if if I more time I will explain I will explain the answers also even okay write a short note this is a very important learning after that a short not of clustering classification along with advantage disc clustering algorithms unless the grade approach which I give the questions is very very important of the exams why because without this topic they don't have any model like chas only don't have mean they and consider that also. Okay, in this question one of the question is going to come on your exam for just for 10 marks. Okay, you can get easily 20 to 20 marks. If you follow my complete video, I think you'll get easily 95 plus marks in your exams. Just 60 marks for for just n for only the numericals you will get in the exams. So that's it video. If anyone wants our courses, please enroll our courses you can go under just for 99 rupees. uh why you won't although means apply for revaluation and uh 330 rupees if you fail in exams if you enroll our courses I can definitely tell you you're going to pass in your exams it's my definite confidence okay that's all our video thank you for watching till now who want our video regularly we upload if you want reminder you can go through subscribe and uh on the bell button that's all thank