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  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. 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 .

  3. Machine Learning with Python Tutorial - GeeksforGeeks

    Apr 22, 2025 · 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.

  4. 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.

  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. 50+ Machine Learning Projects with Python | Aman Kharwal

    1 day ago · 50+ Machine Learning Projects with Python. Below is a list of 50+ Machine Learning projects, all solved and explained with Python. Each project is presented with a clear problem statement, practical implementation, and step-by-step guidance. Supervised Learning (Classification & Regression) End-to-End Predictive Model; Music Popularity Prediction

  8. Python Machine Learning - W3Schools

    In this tutorial we will try to make it as easy as possible to understand the different concepts of machine learning, and we will work with small easy-to-understand data sets. To analyze data, it is important to know what type of data we are dealing with. We can split the data types into three main categories:

  9. 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.

  10. Introduction - Codingame - CodinGame documentation

    This is the documentation for the codingame module. Python 3.8 or higher is required. If you want to use the asynchronous client, make sure to have the correct modules installed by doing: Sometimes you want to keep libraries from polluting system installs or use a different version of libraries than the ones installed on the system.

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