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Grab N Go Info
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GrabNGoInfo provides step-by-step data science and machine learning tutorials.
❤️ Check out more machine learning tutorials on my website (grabngoinfo.com/tutorials/) and on Medium.com (medium.com/@AmyGrabNGoInfo). Join Medium membership at medium.com/@AmyGrabNGoInfo/membership
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❤️ Check out more machine learning tutorials on my website (grabngoinfo.com/tutorials/) and on Medium.com (medium.com/@AmyGrabNGoInfo). Join Medium membership at medium.com/@AmyGrabNGoInfo/membership
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How to Create Tableau Dual Axis Charts with Multiple Measures Bar Chart and Line Chart
Blog post with written steps: medium.com/@AmyGrabNGoInfo/tableau-dual-axis-charts-0c0bfe48d228
zhlédnutí: 37
Video
Top 5 Christmas Gifts Ideas for Data Scientists and Computer Scientists
zhlédnutí 109Před 9 měsíci
The festive season is here, and it's the perfect time to show appreciation for the data scientists and computer scientists in your life. Whether they're crunching numbers, creating algorithms, or exploring the vast universe of AI and data, these top 5 Christmas gifts will surely bring joy to their holiday season. 🏪 Purchase data science and computer science themed products in my Amazon store: a...
How to access Llama 2 | Free Generative AI LLM Alternative to ChatGPT API
zhlédnutí 480Před 10 měsíci
Step-by-step tutorial to get Llama 2 API tokens for absolute beginners. ❤️ Blog post for this video: medium.com/@AmyGrabNGoInfo/how-to-access-llama-2-free-generative-ai-llm-alternative-to-chatgpt-api-359569b27c3a 🚛 GrabNGoInfo Machine Learning Tutorials Inventory: medium.com/grabngoinfo/grabngoinfo-machine-learning-tutorials-inventory-9b9d78ebdd67 🎞️ GenAI playlist: studio.czcams.com/users/play...
DataRobot Auto ML Tutorial for Beginners 2023 New Workbench UI
zhlédnutí 117Před 11 měsíci
DataRobot is an automated machine learning platform to help users build and deploy machine learning and deep learning models quickly. This tutorial provides step-by-step instructions about how to use the new updated Workbench version released in 2023. ❤️ Blog post with code for this video: medium.com/@AmyGrabNGoInfo/datarobot-auto-ml-for-beginners-2023-new-ui-f6ae0bb64bb1 📒 Code Notebook: mailc...
How to Create a Talking AI Avatar for Free Using Leonardo.ai, ChatGPT, D-ID, and Canva
zhlédnutí 808Před rokem
Have you ever wanted to create your own talking AI avatar but were deterred by the perceived complexity or cost? you’ve come to the right place! This tutorial is designed to help you navigate this fascinating field and bring your digital persona to life for free. We’ll be leveraging the power of [Leonardo.Ai](leonardo.ai/) for avatar creation, ChatGPT for text generation, D-ID for creating real...
ChatGPT Code Interpreter for Machine Learning Models
zhlédnutí 917Před rokem
Code Interpreter is a feature offered by OpenAI’s ChatGPT. It allows ChatGPT to analyze data, create charts, solve math problems, edit files, and perform other tasks using code. It is designed to work with a wide range of data types and supports uploading and downloading files, a feature that was not possible before. In this tutorial, we will talk about how to use the ChatGPT Code Interpreter f...
Hybrid Recommendation System Using User-based and Item-based Collaborative Filtering
zhlédnutí 1,7KPřed rokem
Recommendation systems have become integral to industries ranging from online retail to digital media. Two popular recommendation techniques are user-based and item-based collaborative filtering. But why limit ourselves to one when we can reap the benefits of both? This video explores how to build a robust hybrid recommendation system leveraging both of these strategies. ❤️ Blog post for this v...
Top 60 Machine Learning Interview Questions and Answers | Data Science Interview
zhlédnutí 613Před rokem
In this tutorial, a list of the most common machine learning interview questions are compiled to help you ace your next interview. Whether you're a budding data scientist or an experienced machine learning engineer, these questions will help you brush up on your knowledge and set you on the path to success in your next machine learning job interview! ❤️ Blog post with code for this video: mediu...
Ultimate Guide for Midjourney Parameters | AI Art | Generative AI
zhlédnutí 418Před rokem
Midjourney is a text-to-image artificial intelligence (AI) generative tool. It uses machine learning to generate images from natural language prompts. The tool allows users to create unique and original images quickly and easily, without the need for advanced technical skills. If you have not used Midjourney before, please follow [this tutorial](medium.com/grabngoinfo/create-stunning-ai-art-in-...
Data Science Project Completed in 5 Minutes Using ChatGPT Plugin Noteable | Machine Learning
zhlédnutí 869Před rokem
The ChatGPT plugin Noteable is a revolutionary tool designed to streamline and enhance the process of data analysis and modeling. Noteable allows users to describe in natural language what they want to do, such as the data analysis techniques they want to use, and it generates a complete notebook using Python, SQL, or markdown as a result. It can be used for data exploration, data transformatio...
2 Ways of Using SQL in Google Colab | Data Science | Machine Learning
zhlédnutí 7KPřed rokem
In this tutorial, we’ll explore two approaches to using SQL within Google Colab: using Python’s SQLite library and using magic commands. By the end, you’ll have a solid understanding of how to create, populate, and query a SQL database within your Colab environment. ❤️ Blog post for this video: medium.com/grabngoinfo/2-ways-of-using-sql-in-google-colab-b5f702f7fb2a 📒 Code Notebook: mailchi.mp/2...
Investigating a Dip in Key Metrics | Data Science Product Case Interview Question
zhlédnutí 230Před rokem
In data science interviews, encountering a dip in a key metric is a common scenario that can test your problem-solving skills. Today, we’re going to explore a systematic framework that will empower you to investigate and understand the underlying causes behind such dips in critical metrics. So tighten your seatbelts as we embark on a journey to unlock the secrets hidden within the data. ❤️ Blog...
Top 12 Statistical Concepts Data Science Interview Questions and Answers
zhlédnutí 272Před rokem
Statistical concepts are commonly asked in data science and machine learning interviews. In this tutorial, we'll delve into the top 12 interview questions related to these concepts and provide guidance on how to effectively answer them. The Python code for simulating the statistical concepts will also be provided where is applicable. ❤️ Blog post for this video: medium.com/grabngoinfo/top-12-st...
Leonardo Ai Beginners Tutorial | Free Alternative to Midjourney
zhlédnutí 441Před rokem
Use Leonardo.Ai to create your first AI image, upscale, remove background, and download. ❤️ Blog post with code for this video: medium.com/@AmyGrabNGoInfo/leonardo-ai-free-alternative-to-midjourney-beginners-tutorial-d06588aa19e8 🚛 GrabNGoInfo Machine Learning Tutorials Inventory: medium.com/grabngoinfo/grabngoinfo-machine-learning-tutorials-inventory-9b9d78ebdd67 🎞️ AI Art playlist: czcams.com...
The Ultimate Guide to Evaluating Your Recommendation System | Machine Learning
zhlédnutí 2,2KPřed rokem
Recommendation systems have become an integral part of our daily lives, shaping our experiences on e-commerce platforms, content streaming services, and social media networks. They help users navigate vast catalogs, find relevant items, and discover new products or content that they might enjoy. But how do we know if a recommendation system is doing a good job? This tutorial will guide you thro...
Top 20 AB Test Interview Questions and Answers | Data Science | Hypothesis Testing
zhlédnutí 523Před rokem
Top 20 AB Test Interview Questions and Answers | Data Science | Hypothesis Testing
Unlocking ChatGPT Plus: A Beginner's Guide to Discovering its Value and Justifying the Investment
zhlédnutí 279Před rokem
Unlocking ChatGPT Plus: A Beginner's Guide to Discovering its Value and Justifying the Investment
Create Stunning AI Art in Under 5 Minutes with Midjourney | Perfect for Absolute Beginners
zhlédnutí 168Před rokem
Create Stunning AI Art in Under 5 Minutes with Midjourney | Perfect for Absolute Beginners
Top 10 Causal Inference Interview Questions and Answers | Machine Learning
zhlédnutí 904Před rokem
Top 10 Causal Inference Interview Questions and Answers | Machine Learning
Top 10 Deep Learning Concept Interview Questions and Answers | Neural Network Model
zhlédnutí 667Před rokem
Top 10 Deep Learning Concept Interview Questions and Answers | Neural Network Model
Top 10 NLP Concepts Interview Questions and Answers | Machine Learning | Deep Learning
zhlédnutí 636Před rokem
Top 10 NLP Concepts Interview Questions and Answers | Machine Learning | Deep Learning
Transfer Learning for Text Classification Using PyTorch | NLP | Machine Learning | Deep Learning
zhlédnutí 1,8KPřed rokem
Transfer Learning for Text Classification Using PyTorch | NLP | Machine Learning | Deep Learning
Top 7 Support Vector Machine (SVM) Interview Questions for Data Science and Machine Learning
zhlédnutí 345Před rokem
Top 7 Support Vector Machine (SVM) Interview Questions for Data Science and Machine Learning
Top 5 Decision Tree Interview Questions for Data Science and Machine Learning
zhlédnutí 216Před rokem
Top 5 Decision Tree Interview Questions for Data Science and Machine Learning
Imbalanced Multi-Label Classification | Balanced Weights May Not Improve Your Model Performance
zhlédnutí 2,3KPřed rokem
Imbalanced Multi-Label Classification | Balanced Weights May Not Improve Your Model Performance
Transfer Learning for Text Classification Using Hugging Face Transformers Trainer | Deep Learning
zhlédnutí 3,8KPřed rokem
Transfer Learning for Text Classification Using Hugging Face Transformers Trainer | Deep Learning
Customized Sentiment Analysis | Transfer Learning Using Tensorflow with Hugging Face | Deep Learning
zhlédnutí 894Před rokem
Customized Sentiment Analysis | Transfer Learning Using Tensorflow with Hugging Face | Deep Learning
Sentiment Analysis | Hugging Face Zero shot Model vs Flair Pretrained Model | NLP | Machine Learning
zhlédnutí 885Před rokem
Sentiment Analysis | Hugging Face Zero shot Model vs Flair Pretrained Model | NLP | Machine Learning
Zero-shot Topic Modeling with Deep Learning Using Python | Machine Learning
zhlédnutí 1,5KPřed rokem
Zero-shot Topic Modeling with Deep Learning Using Python | Machine Learning
Can I have access to this colab code please?
Is this an IDS?
this is the best tutorial for any learners who wants to study Uplift model, big thanks!!
thank you for this Tutorial!
How can I save the model to an Azure Blo Storage?
Perfect! Thank u...
For anybody watching this, it is worth saying that doing hyperparameter tuning by selecting parameters with the smallest CIs, as this video appears to be recommending, is total garbage statistically. In this case, what you're doing here is just making your CIs less accurate.
I am getting KeyError 0 when trying to run the model with class weight technique. My y_label has 0 & 1 and I have assigned weight manually as weight = {0:1, 1:32} but the code throws KeyError. Tested everything but not able to figure out the issue.
causal inference tutorial
How was the true difference 10 calculated?
What does feature-complete training mean?
How to deploy code from GitHub to Databricks workspace? cd part
you should try to speak yourself instead of using AI, otherwise good content
Very clear and helpful
Thanks for the indepth tutorial. I am wondering if any of these can be used on categorical variables. The only algorithm I know of for working with categorical data is K-Prototypes. Thank you in advance.
nice tut, thank you
Fantastic video …huge help. I’m hoping I can ask a semi related question. I wish to upload my own image (cat) from either iCloud or external hard drive. I can get the image in, but there is no right click “copy link”. I’ve opened in new tab, but as soon as I want to edit (cartoon), everything disappears. Certainly I watch others do it, but I’m missing something or is this just a no with a Mac. I’d be thrilled if you had advice. Txs. Kate
Thanks!!!Great content!
Thanks so much bro..can i use undersampling technique before Splitting the dataset into training and testing because it doesn't introduce any data leakage like in oversampling technique ?
Why doesn't power analysis require the total population to determine sample size? Ignoring the total population, wouldn't a large population have the same sample size as a small population?
Great content! Thank you! Where can I find datasets?
V informative and well-explained. Thank you!
Is there any evaluation model for this?
Thanx for the video....
How to run neural network in noteable or is there any other plugin which we can use to automate deep learning or autoML for ANN?
Hello, another great video about Prophet modeling for time series! I have a question: as here you follow the train/test split for training and eventually evaluating the model, can you also make a video where you would just use the whole time series to train the model? On this latter approach, I don't understand how to add extra regressors, because if I use the make_future_dataframe I would just get Nan values for the extra regressors. This isn't clear for me! Also, after you trained and evaluated the model, how can you make predictions into the future (beyond test data)? Thank you very much!
Sweet video! This tutorial seems to have the most comprehensive, hands-on summary on how to build and use a Prophet model. I am finding all of the info you presented on a time series project on my own. I really liked the through explanation and the code you shared. Thank you!
Thanks so much! it really helps! But I do have a question regarding the finding similar user part. the user-item matrix I have is containing a lot of missing values as well, just like yours. Howver, when I tried to use the pearson correlation to get the correlation, why I did not get NaN for those entries with missing value; instead, I still got numbers. That's so weird cuz based on your illustration, it should return NaN for missing values correlation.
Thank you very much! For a very long time I have been looking for information about embedding categorical variables in boosting models, but I found almost nothing or the information was incomprehensible. Now I understand everything. Thank you!
notebook link is no longer available😭
colab.research.google.com/drive/13U4YRIdEu7SWS1ttiJPSrSayQHNbIaT_?usp=sharing
Thank very much for the content. Please what application do you use for reading the text?
prophet was proven to suck in time series forecasts
hm, what can you recommend for time series forecasting?
Im using tableau public , is it possible to connect to google drive ?
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Your channel is very underrated. Great work.
Great collection for quick grab-and-go for interviews. Can you please make one similar for SQL, advanced SQL preferably?
This was one shitty intro. Maybe next time do it by yourself and not just read some pdf
Thanks for the video, very useful content
Thank you for your efforts! I have one question. You gave a condition that keep only the movies with greater than 100 ratings. could you explain why you give a condition like that?
Thanks for your video. I do not undestand cross validation. You have to say to algorithm what was de model, but then using an initial part of the series the algorithm makes a new model and makes a forecast. Then more data is added to the series and a new model is made again? If in each new iteration a new model is made, what is the idea of telling the algorithm what the original model was, what is the use of this?
❤ Blog post for this video: medium.com/@AmyGrabNGoInfo/how-to-access-llama-2-free-generative-ai-llm-alternative-to-chatgpt-api-359569b27c3a 🚛 GrabNGoInfo Machine Learning Tutorials Inventory: medium.com/grabngoinfo/grabngoinfo-machine-learning-tutorials-inventory-9b9d78ebdd67 🎞 GenAI playlist: studio.czcams.com/users/playlistPLVppujud2yJpfKPS1IFyAvudXQAa8Eouk/videos 👩🏻💻 Follow me on LinkedIn: www.linkedin.com/company/grabngoinfo/
Hi, I keep getting error for spark_forecast.show(5) do you have any idea about this?
This is really helpful. Thanks a lot
This is really helpful. Thanks alot.
Could you please share link to the notebook?
Quick question - The MAPE for the log-transformed data is 0.67%. How can you compare that directly with 4.45%. 4.45% is with the data on original scale right?
Is this with machine voice-over? It's very mono-tonal.
I am not able to access the whole code bro.
Here is the link to the notebook: mailchi.mp/04dedbc4e95e/ej3em2e33u
Clear and easy to follow
Awesome video! But why the anomaly data in X_train is used to build the model? As I know, only the normal data should be used to build the model.