Describe the bug I am trying to install the required libraries in a kaggle notebook: !pip install super-gradients==3.1.0 !pip install imutils !pip install roboflow !pip install pytube --upgrade !pip install torchinfo After installing whe...
Run LLaMA 3 locally with GPT4ALL and Ollama, and integrate it into VSCode. Then, build a Q&A retrieval system using Langchain, Chroma DB, and Ollama.
Chart cells (DataLab only) can be used to create visualizations and quickly visualize Pandas dataframes. The runtime environment is responsible for executing the code in the notebook. The runtime environment can be configured to support different languages, including Python, R or SQL. The filesy...
We like to use the mamba package manager and the conda-forge channel. Clone this repository. Download the PUDL dataset from Kaggle (it's ~20GB!) and unzip it somewhere conveniently accessible from the notebooks in the cloned repo. Start your JupyterLab or Jupyter Notebook server and ...
Explore and run machine learning code with Kaggle Notebooks | Using data from OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction
Hi all. I'm puzzled as to the best way to measure the execution runtime of my Kaggle notebook's cells. When you run your code, the cell does not automatically show how long it took, so I tried implementing my way. Consider:
2. Walk before you run. You might be tempted to jump into some of the newest, cutting edge sub-fields in machine learning such as deep learning or NLP. Try to stay focused on the core concepts at the start. These advanced topics will be much easier to understand once you've mastered ...
Store your OPENAI API Key in Kaggle Copy paste the code snippet at the bottom of the screen and add it to the first cell of your notebook. Also import time, os and json. This will be the final content of your first cell. the first cell of your personal ChatGPT notebook ...
(This dataset is currently licensed CC0: Public Domain on Kaggle. Please note that this dataset might not be accurate, and it’s used in this article only for demonstration purposes). We will combine data from the provided link to get a cluster of fraudulent claims associated with the ...
combined['runtime'].fillna(combined['runtime'].median(), inplace=True) Create a new column with the number of spoken languages for each movie with the code-line: combined['spoken_languages_number'] = \ combined['spoken_languages'].apply(lambdax: len(x)) ...