About 1,300,000 results
Open links in new tab
  1. Machine learning: exercises and theory - CodinGame

    Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms is unfeasible; example applications include spam filtering, optical character recognition (OCR), search engines and computer vision.

  2. Coding Games and Programming Challenges to Code Better

    CodinGame is a challenge-based training platform for programmers where you can play with the hottest programming topics. Solve games, code AI bots, learn from your peers, have fun.

  3. Quick guide on how to use codingame for problem solving with python

    Jul 22, 2023 · for people interested in learning algorithm and developing problem solving skills, there are several platform that offer creative and ludic way to learn like codingame, some people did not get hold of how to use it after making account so I did make a quick guide explaining puzzle environment , ide and more .

  4. Introduction - Codingame - CodinGame documentation

    This is the documentation for the codingame module. Prerequisites# Python 3.8 or higher is required. Installing# Install codingame with pip:

    Missing:

    • Machine Learning

    Must include:

  5. Codingame/MACHINE LEARNING/python/deep-learning

    # This tutorial is intended for readers who are new to both machine learning and TensorFlow. # Just like programming has Hello World, machine learning has MNIST. # MNIST is a simple computer vision dataset.

  6. Python modules for machine learning/reinforcement learning

    Mar 8, 2017 · I’ve seen a couple topics in the past to request more available modules in Python 2&3, and I’d like to add a few more to the wishlist: sklearn, the most commonly used machine learning module; keras+theano, a very popular pair of modules to train & use neural networks

  7. Machine Learning with Python Tutorial - GeeksforGeeks

    Dec 31, 2024 · Python language is widely used in Machine Learning because it provides libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and Keras. These libraries offer tools and functions essential for data manipulation, analysis, and building machine learning models.

  8. Your First Machine Learning Project in Python Step-By-Step

    In this step-by-step tutorial you will: Download and install Python SciPy and get the most useful package for machine learning in Python. Load a dataset and understand it’s structure using statistical summaries and data visualization. Create 6 machine learning models, pick the best and build confidence that the accuracy is reliable.

  9. Neural Network Ressources - General - CodinGame Forum

    Jun 13, 2016 · For those who might want to apply Neural Networks to a multiplayer game such as CSB, here is a set of 100k datapoints from which you may learn. The set was generated using my main (top 3 at the end of the contest) bot, under the asumption that there is …

  10. Coding Games and Programming Challenges to Code Better

    CodinGame is a challenge-based training platform for programmers where you can play with the hottest programming topics. Solve games, code AI bots, learn from your peers, have fun.

  11. Some results have been removed
Refresh