"Currently pursuing a data science and deep learning course. Which MacBook would be best? 1. MacBook Pro i7 (16GB RAM, Model A2141) 2. MacBook Air M1 (8GB RAM) 3. MacBook Pro M1 (8GB RAM)"
When I try to execute the model I get this response "there was an issue with executing the model due to system limitations. I recommend the following steps to run this machine learning pipeline locally." I have a local environment to run this in and even a Google Colab account, but I'm sure this would be a show stopper for the non-technical audience.
I'm constantly having to reupload the data. This makes going through this course a bit of pain when you can't go through the entire course in one sitting. Is this because I'm not using the Enterprise subscription? Or is this how it works regardless of subscription level.
I just asked ChatGPT about this and it's a limitation regardless your tier. But as mentioned in the video ChatGPT seems to retain the progress. Not sure how that makes sense though.
Thank you Luke and Kelly for giving this awesome tutorials. I just completed the course, where is the survey link? I wanna add this certificate to my Linkedin.
@LukeBarousse Your course is super useful, I wanna purchase the practice and save the certification, but I am wondering if I need to install applications to complete all practices, please clarify what applications should be installed on my computer? thanks
I just completed this specialization a week ago so here's my experience: it took me 4 months in total to complete semi-daily work along with documenting what I learnt plus tricks I found useful either in the specialization or random tip online, after completing this course alone I felt semi-complete mastery of excel as it doesn't cover some advanced array formulas it only gives you a start. when it comes to dynamic arrays were added later in excel 2019 so it's not covered, Plus It doesn't cover using power query yet it's covered in "Excel power tools for data analysis" (Haven't completed it yet) From the same author. I have got a file with all my studies, knowledge on this course plus little extras I got online, if anyone is interested I will be more than happy to offer. Huge thanks to Luke for recommending such intel
R was the first language I learned for statistics and analysis. Tidyverse makes it easy to learn and it’s quite intuitive. Ggplot2 is EXTREMELY customizable and easy to do plotting, mapping, graphing, etc. That said, I have started using Python recently and man is it easy to learn. Python with the addition of way more community support has made me start rethinking what language is best (for statistics and analysis).
3:08:25 - I did this entire step correctly and it's still not working, so I don't believe I can continue doing the project. My GitHub doesn't have any of the folders that Luke's has when I go to it. The only file is the ReadMe file that was created later. Sql_load and Advanced_sql are nowhere to be found. When I first clicked "Publish To GitHub" I didn't get a "Open on GitHub" pop up like he did. So I'm incredibly lost on what I'm supposed to be doing now.
I would appreciate if someone could help me. I have been encountering an issue when trying to connect to the Postgresql server. Specifically, I receive the following error message: "Connection failed: connection to server at '127.0.0.1', port 5433 failed: FATAL: password authentication failed for user 'postgres'." I have tried troubleshooting by deleting and reinstalling PostgreSQL, but I am unable to remove the application from my system, and the issue persists. any ideas on why this could be happening??
Hey, Luke! How are you? Thank you so much for this incredible course! It was very informative and helpful for me! Can you explain how can I get my certificate? I purchased the problems and completed 100%, but don't understand where download the certificate.
