Learning is fun when you are driven by curiosity. I create videos that showcase what is possible with data science and programming, hopefully sparking that very curiosity.
I try to take a diverse approach to the content I create: - Short videos that teach one specific concept. - Tutorials that show what is possible with various python packages or machine learning models. - Live coding streams where the topics are driven by the chat and community.
Hi Rob, Thank you very much for this tutorial. When using XGBoost , we don't do these kinds of data prep : scaling, checking for seasonality, filtering outliers ?
Can we make a bot , mimic like top player and this bot train by their past games? I have project in my college so please help me out if you have any idea
Awesome video !! However, somehow I am getting the following error: fig, ax = plt.subplots(figsize=(10, 5)) ax.scatter(datos_test.index, datos_test['Hs(m)'], color='r') fig = model.plot(datos_test_forecast, ax=ax) ax.set_xbound(lower='01-01-2019', upper='02-01-2019') ax.set_ylim(0, 60000) plot = plt.suptitle('January 2019 Forecast vs Actuals') ConversionError: Failed to convert value(s) to axis units: '01-01-2019'
Hey i just saw this amazing video, but now it says the detectFaces is deprecated, i succeeded in using extract_faces, but couldn't figure out how to show the actual image like you when u use plt.imshow(), hope you can help!
Hey! love your contents. By any chance, could you make a full video on the "google sign language fingerspelling competition" on kaggle? Saw a sneak peak of that in your channel
Excellent explanation and material. Thank you for your efforts in making learning enjoyable. A brief query about reviews that are negative (5 stars) and positive (1 stars), where the algorithm is unable to forecast the relevancy score. Regarding these kinds of situations, how would you advise handling them??
Hello, I keep having this error in the Combine and Compare part: ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() Any chance that you can help me? :D
Really? Youre going to shame people for using the "for i in range"? It is a core concept in Python, and does exactly what it needs to. Can you give a technical reason for *why* you shouldnt use "for i in range"?
Lucidly explained. One thing i have learned that in order to be a great Data scientist what matters is your problem solving skills, understanding the business requirements and curiosity to dive deep into data (true to the name data scientist) . There is no need in remembering these codes as long as you know what to look for.
Thanks for this video, it was descriptive, well structured and well explained. I have two questions and I would appreciate if you can give your opinion and guidence on that. 1. At the end of the day star reviews and sentiment are giving the same results so how can we justify going through all this process when we already have a very good indication of user sentiment based on the star reviews. 2. How can we get the strength and weakness of the product based on the reviews using the sentiment analysis.
