NYU-DLSP20
ydata-profiling
| NYU-DLSP20 | ydata-profiling | |
|---|---|---|
| 2 | 43 | |
| 6,627 | 12,070 | |
| - | 1.1% | |
| 6.1 | 8.5 | |
| 3 months ago | 5 days ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
NYU-DLSP20
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A collection of some of the best PyTorch courses for beginners to learn PyTorch online
And of course our NYU DL course 😉 https://github.com/Atcold/pytorch-Deep-Learning
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Week 6 practicum notebook
I am going through week 6 practicum notebook. Can someone shed some light on the following code in train method:
ydata-profiling
- FLaNK 25 December 2023
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First 15 Open Source Advent projects
6. Ydata-synthetic and Ydata-profiling by YData | Github | tutorial
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Coding Wonderland: Contribute to YData Profiling and YData Synthetic in this Advent of Code
Send us your North ⭐️: "On the first day of Christmas, my true contributor gave to me..." a star in my GitHub tree! 🎵 If you love these projects too, star ydata-profiling or ydata-synthetic and let your friends know why you love it so much!
- Data exploration is not dead
- Explore your data in a single line of code
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Which preprocessing steps to improve the performance of a naive bayes classifier
My suggestion start with the EDA - there are a lot of packages that automate that for you already. My usual go-to: https://github.com/ydataai/ydata-profiling.
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Simulating sales data
If you're not sure about the behaviour of your data (i.e., if the original data has properties like seasonality), you can use ydata-profiling to profile your data first.
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I recorded a Data Science Project using Python and uploaded it on Youtube
Super cool! For EDA, you could give ydata-profiling a spin sometime and speed up the process!
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Ydata-Profiling and Dask
Hey guys,
We've been recently at the Dask Demo Day and we're hoping to launch a new feature on ydata-profiling, with the support for Dask dataframes!
We're looking for Dask Wizards to start collaborating on this feature, so if you're interested, please join us to define the roadmap of the project and start making it real
Current GitHub branch is here: https://github.com/ydataai/ydata-profiling/tree/feat/dask
Dedicated dask channel here: https://discord.gg/EHDBuSSDuy
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🧠 ydata-profiling + Dask!
We're looking for Dask Wizards 🧙🏻♂️ to start collaborating on this branch, so if you're interested, please join us to define the roadmap of the project and start making it real 🚀
What are some alternatives?
webdataset - A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
dtale - Visualizer for pandas data structures
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets
nlp-class - A Natural Language Processing course taught by Professor Ghassemi
dataframe-go - DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.
lux - Automatically visualize your pandas dataframe via a single print! 📊 💡
dl-colab-notebooks - Try out deep learning models online on Google Colab
get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b