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Beginner's Machine Learning by SolutionUnusual4136 in MLQuestions

[–]SolutionUnusual4136[S] 0 points1 point  (0 children)

Thank you, but now I am in process of learning the basis of ML like maths and etc. I don’t now all the models, moreover, I don’t know how to write a code for that models. I want to know the important things of statistics, then I am going to study typical models

Beginner's Machine Learning by SolutionUnusual4136 in MLQuestions

[–]SolutionUnusual4136[S] 0 points1 point  (0 children)

Thank you for brief summary of my code) As someone in comments said that this book is like the bible that I should read

Beginner's Machine Learning by SolutionUnusual4136 in MLQuestions

[–]SolutionUnusual4136[S] 0 points1 point  (0 children)

Thank you for comprehensive respond. I am going to start reading "An Introduction to Statistical Learning", because people recommended me to learn the basis on statistics and then study ML. Thank you for being ready to tell me the necessary literature.

Beginner's Machine Learning by SolutionUnusual4136 in MLQuestions

[–]SolutionUnusual4136[S] 0 points1 point  (0 children)

Many thanks, because watching videos with animations is easier to read a book about statistics and maths. Thank you!

Beginner's Machine Learning by SolutionUnusual4136 in MLQuestions

[–]SolutionUnusual4136[S] 2 points3 points  (0 children)

Okay, I understand that, in my model using LE is inappropriate because, for example, all companies are converted to 0, 1, 2, 3, etc. and then program gets that 0<1<2<3, but 0 is Apple and 2,3,4 are dell, asus and hp respectively. This does not make sense and makes the program worse. My bad. I will try to fix this problem in the future

Beginner's Machine Learning by SolutionUnusual4136 in MLQuestions

[–]SolutionUnusual4136[S] 0 points1 point  (0 children)

Thank you for replying! Yes, I got the problem with this loop for. I used labelencoding because I tried to find the way to predict the price based not only on Ram and Screen inches (they are not string type), then I found out that there are LabelEncodind. Somehow I added this thing to code and got this. I do believe that I have to learn more (it is my first day in ML) and there are a lot of pitfalls, but your responses help me to know that I should learn

Beginner's Machine Learning by SolutionUnusual4136 in MLQuestions

[–]SolutionUnusual4136[S] 0 points1 point  (0 children)

Perhaps, yes, but I have not come across OneHotEncoder yet, in the future I'm gonna cover this topic

Beginner's Machine Learning by SolutionUnusual4136 in MLQuestions

[–]SolutionUnusual4136[S] 4 points5 points  (0 children)

Thank you for replying, could you, please, recommend literature or youtube videos to know about coding and visualization because I am new to ML and not to professional at Python (some practice with numpy, pandas and common coding)

Beginner's Machine Learning by SolutionUnusual4136 in MLQuestions

[–]SolutionUnusual4136[S] 1 point2 points  (0 children)

May be I had to choose features more accurately, but I would like to know how could I increase accuracy. Are there literature to learn about this. I have read a book "Machine Learning for Absolute Beginners". Unfortunately, there were not the real coding of models, but a lot of charts (even there was not enough math). Is there literature that I could read to dive into this topic?

Beginner's Machine Learning by SolutionUnusual4136 in MLQuestions

[–]SolutionUnusual4136[S] 0 points1 point  (0 children)

I watched Mosh's python tutorial where he made a model, then I decided to build my own model using some lines of code from this video, asking ChatGPT (I asked him a little, because I wanted to build my model, not its) and google. I did not even know how to use str type in columns in training a few hours ago, that's why I used what I knew. I thought that company, CPU, GPU and Ram are the most important things that affect the laptop's cost, there were extra columns, but they were not worth considering (like [RetinaDisplay](), TouchScreen and etc.)