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Kaggle

Kaggle offers innovative business results and solutions to companies.

Kaggle Reviews and details

Screenshots and images

  • Kaggle Landing page
    Landing page //
    2023-04-18

Features & Specs

  1. Community

    Kaggle has a vibrant community of data scientists and machine learning practitioners who actively collaborate, share knowledge, and support each other.

  2. Competitions

    The platform hosts numerous competitions that allow users to test their skills on real-world problems, often with monetary prizes and recognition.

  3. Datasets

    Kaggle offers a vast repository of datasets that are readily available for analysis and can be used to practice and build models.

  4. Kernels

    Users can share and run code in the cloud using Kaggle Kernels, which provide a collaborative environment for analysis and model development.

  5. Learning Resources

    Kaggle provides numerous tutorials, courses, and micro-courses to help beginners and advanced users improve their skills in data science and machine learning.

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Videos

How to use Kaggle ?

Kaggle Live-Coding: Code Reviews! Class imbalanced in Python | Kaggle

Kaggle Live-Coding: Code Reviews! | Kaggle

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Kaggle and what they use it for.
  • Machine learning for web developers
    Before you even build a model, you are going to need some kind of dataset. Usually a CSV or JSON file. You can build your own dataset from scratch using your own data, scrape data from somewhere, or use Kaggle. - Source: dev.to / 4 months ago
  • How to Make Money From Coding: A Beginner-Friendly Practical Guide
    Kaggle: For data science and machine learning competitions. - Source: dev.to / 9 months ago
  • Need help with Python / Research Project
    Need help with last minute python project (due today). Project involves choosing a dataset from kaggle.com to analyze and creating questions to answer through analyzing the data. I have a pdf file of the project guidelines if you want more details. Also on a budget. Source: almost 2 years ago
  • Required coding skills needed for DS
    Next, you can do basic analysis of datasets in Python using libraries like pandas and scikit-learn. There's a lot of example datasets on kaggle.com. Source: almost 2 years ago
  • Freelance Working
    Also look into kaggle.com and participate in competitions, etc. This will be something you can show on your CV as real-world-experience while boosting your skills. Source: almost 2 years ago
  • Hi do you guys have any labelled dataset for training small robots ro recognize common objects?
    Take a loot at the Open Images dataset or Kaggle. Source: almost 2 years ago
  • Hello everyone I want to take the data+ exam how did you prepare??
    If you took a good database course and a good data science/data analytics/informatics course in college, you likely have the knowledge you need for the PBQs. Looking at the "Given a scenario..." objectives for the Data+, I think I would practice up basic SQL, then fire up PowerBI/RStudio/Jupyter Notebook/whatever your favorite visualization tool is and take some real-world data from kaggle.com and make some... Source: almost 2 years ago
  • What tools are you using to clean and prep data for fine-tuning?
    I use datasets from huggingface.com and kaggle.com. These datasets come in various formats, some of which you can train your bot on to generate a LoRA. You can also download any book in txt format, like what you might find at archive.org and clean it up a bit to make it a reasonable training dataset that you can use to make a LoRA. Clean by deleting weird characters, html code and blank lines to give your model a... Source: about 2 years ago
  • Improving Comp Sci Skills in the Summer.
    For data analytics use try kaggle.com they have a intro tutorial. Source: about 2 years ago
  • [Need Help] - Having second thoughts
    I have already a degree in computer science, and I felt the same feeling that I'm feeling now. Studying something that Im quite fond of but the material that I get from my teacher is "too easy", I don't feel like I'm learning enough. While I was studying computer science I luckily discovered Kaggle.com. Through Kaggle I got a feeling that I excelled my learning in data science and got ahead of my class. This lead... Source: about 2 years ago
  • Help needed!!! Domain: Ml initially, Ds and Ai after I learn Ml.
    If you are looking for ML projects, you can checkout problems at kaggle.com . Kaggle has very nice problems, and solutions of many problems are also available online. You can practise them and learn from the available solutions. Source: about 2 years ago
  • A post AL student needed with advice
    Go to kaggle.com and learn data science. Or do some programming or AI checkout tensorflow.com. Or go to ocw.mit.edu and learn something cool from the number one university in the world. Source: about 2 years ago
  • Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
    This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 2 years ago
  • !!Need databases to practice on!!! [Beginner]
    For data to fill your db with and practise on, kaggle is your friend. Source: about 2 years ago
  • How many into FIRE/ financial freedom/ remote work / digital nomad lifestyle here?
    Visit kaggle.com . Okhane beginner problem solve kora shuru korun. There are solutions posted with detailed answers. Try to understand them. Source: about 2 years ago
  • How To Generate Test Data for Your Database Project With Python
    If you need test data for the database of your project, you can get a dataset from Kaggle or use a data generator. In the first case, if you need to process the data before inserting it into the database, you can use Pandas, a widely used Python library for data analysis. This library supports different formats, including CSV and JSON, and it also provides a method for inserting data into a SQL database. - Source: dev.to / about 2 years ago
  • Looking for notes On Trump Tweet Insult Generator Web App
    Tried to host a database and gave up and stuck my data in some JSON files. I didn't scrap the data but found it on kaggle.com. Converted the spreadsheet to a JSON object and worked with that. Source: about 2 years ago
  • What online course should I study next?
    In my opinion, stop the learning loop and create simple to complex projects. During development kasi ng mga projects, may maeencounter ka pa na new knowledge as alam mo currently. When I'm still pursuing Data Analytics before (I'm a dev now btw), nagte-take ako ng mga challenges sa kaggle then nag c-create din ako ng analytics from the available datasets sa kaggle as practice and to hone my skills further. Also,... Source: over 2 years ago
  • AI
    Kaggle is also a site you can use to write and run models that has datasets available for use for free. Source: over 2 years ago
  • What is the next step for me in Machine Learning?
    So the short answer is, go try something like kaggle.com and build anything at all, anything that interests you. You'll learn by doing it and find what types of problems you like solving. Then go do something completely different for your second project, etc. Don't get too focused on what you are solving, or that you need to specialize, especially at the beginning of your career. Source: over 2 years ago
  • Wanted to know about machine learning. How do I start learning it? Sources best place and courses? 4th year undergrad in math.
    I found kaggle.com very good. It's good basics and practical lessons using python libraries. Also they give certificates. All free. Source: over 2 years ago

External sources with reviews and comparisons of Kaggle

Top 10 Developer Communities You Should Explore
Kaggle is an online platform that hosts data science competitions, provides datasets for analysis and machine learning projects, and offers a collaborative environment for data scientists and machine learning enthusiasts. It was founded in 2010 and has become a prominent platform for individuals and teams to showcase their data science skills, learn from one another, and compete on real-world projects.
The Best ML Notebooks And Infrastructure Tools For Data Scientists
Kaggle, an online community of data scientists, hosts Jupyter notebooks for R and Python. Kaggle Notebooks can be created and edited via a notebook editor with an editing window, a console, and a setting window. Kaggle hosts a vast number of publicly available datasets. Besides, you can also output files from a different Notebook or upload your own dataset. Kaggle comes with a powerful collaboration feature that...
Top 25 websites for coding challenge and competition [Updated for 2021]
Kaggle is famous for being the place where data scientists collaborate and compete with each other. But they also have a platform called Kaggle Learn where micro-courses are provided. They are mini-courses where data scientists can learn practical data skills that they can apply immediately. They call it the fastest (and most fun) way to become a data scientist or improve your current skills. Courses available are...

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