NOTE: This StatQuest was supported by these awesome people who support StatQuest at the Double BAM level: A. Tolkachev, G. Singh, I. Duruike, M. Young, BFDI, J. Zitianellis, L. Cisterna, J. Alexander, J. Varghese, K. Manickam, N. Fleming, J. Malone-Lee, C. Zhang, B. Bellman, BufferUnderrun, Wei-en, S. Jeffcoat, S. Handschuh, D. Deutschman, G. Gibson, C. Walker, I. Galic, D. Greene, D. Schioberg, Z. Rosenberg, J. N., S. Shah, H-M Chang
6 thoughts on “Clustering with DBSCAN, Clearly Explained”
Hello STATQUEST, My question is not related to ‘Clustering with DBSCAN’. But just wanted to ask you, I am a software developer and want to prepare for Data Analyst role. Will your videos help me, or Are they detailed…or should I refer to some other more abstract sources? And where else can I ask you queries, do you have any social media?
People have used my videos to pass exams, graduate and get jobs in data science. I’d start from the top and work your way down.
Hello STATQUEST, I am highly interested in purchasing your works if they include the Python example solution code. (1) Am I correct that currently you have three packages that include Python code with Jupyter Notebooks: Classification Trees, Support Vector Machines, and XGBOOST? Or please advise your other packages that include the Python code. (2) I am interested in purchasing ‘Naive Bayes for Genomics’, if that includes the Python code; please can you advise how I may access the password to ‘unlock’ and purchase that package?
You’ve got all the Python stuff I have to offer right now. However, I will have more (that is free!) soon! (by the end of this month.)
Love your work, will you teach the Mean-Shift Clustering?
I’ll keep that topic in mind.