thanks Aman, it was really helpful, actually I'm new in this field and I have to get data from Kaggle and do some visualizations, your video helo me a lot
Hello sir are data structures and algorithms asked for data scientist positions? And if yes then what will be the difficulty level of these questions in data scientist interviews?
Nice. I want some recommendations from you that I have done courses of Ml and deep learning , I python skill are medium not advanced and I want to practice now what should I do??
Hello ... Do you know How can I upload the files that are produced in my Kaggle notebook to my kaggle dataset? I use these two lines of python to save my files to the /kaggle/working directory. path = './' + filename fig.savefig(path, dpi = 150) I can't find the path to write my files directly to my dataset, or a simple instruction to move my files from the /kaggle/working directory to my dataset. I have four days stopped at this point, this should be something simple Thanks a lot
Just need to know 1 major thing here , For ex for most of the Problems - We are given a Train data of 8000 rows and Test data of 4000 rows and also a submission file which contains a sample result containing all 4000 rows of test dataset , So my question is while performing Data Cleaning on Train Data if I found out few NAN values/Outliers are present in few rows and I remove these rows and suppose Train data now becomes 6500 rows and 1500 rows are removed and I apply same process for Test Data and suppose we are left with 3300 rows out of 4000 rows in test data after performing data cleaning but as we know, we are given sample solution which contains ALL 4000 rows of Test Data but after Data Cleaning I am left with 3300 rows which will create a mismatch error and whole ML model will be a waste, So in the end I want to know can we not remove any NAN values/ Outliers containing rows and only impute without removing the row? How to do it I am getting confused, please anyone know about it can comment in reply, I would be glad to hear.( I didn't wanted to see other kaggler's code so asked this query here rather than going directly onto someone's code)
there are some like mean median mode imputation people use which I had seen and for outlier elimination, Cuz it will make the model perfom worse and another is using another feature as a point and filling the Nan values , so it may be able to generalize.
Hi. Teacher. Pls can give help suggest a place where one can get dataset and tasks to do? Say give a Dataset and give (assignment/homework/task/work to do) bases on the dataset. Thanks
Brother, as a beginner how much knowledge in machine learning is required for first competition as ml is a vast domain? How to know which competition is best for beginner ? Please reply bro
Love the video but every time I go to dataset, add notebook and try to run I get firebase network errors, I verified my account as troubleshooting step but keeps happening
Please make a video on how to upload the submissions and in what format. Also, please tell if we can upload submissions on closed competitions to check our accuracy.
You can get many useful notebook. Watch this video where I listed some good notebooks: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-VEaT3vzzBJc.html
Thanks for reply sir I know python and being statistics student I know statistics And basic of SQL So what other thing I should learn in order to get data analyst job Please reply sir
sir how a fresher approach kaggle to learn machine learning because i don't which dataset to choose to satrt learning maybe there are higher level plz reply
Hi. Teacher. Pls can give help suggest a place where one can get dataset and tasks to do? Say give a Dataset and give (assignment/homework/task/work to do) bases on the dataset. Thanks
