Python knowledge

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Colab : A free host or computer for your data projects!

By |2021-07-22T14:50:05+04:3019th June, 2021|Categories: DS knowledge, Machine Learning (ML), Python knowledge|

Jupiter Notebook Colab is on Google computers. One of the concerns of data science experts is to have a computer or host with a lot of space to run their projects! As is often the case, Google has maintained its customer orientation and provided Colab to you! Colab is a free, virtual cloud computing service that [...]

XGBoost: Implementation machine learning in Gradient Boosting

By |2020-11-18T00:44:51+03:3023rd November, 2020|Categories: DS knowledge, Python knowledge|

XGBoost (eXtreme Gradient Boosting) is an open-source library providing a high-performance implementation of gradient boosted decision trees. It has a wide range of applications: Can be used to solve regression, classification, ranking, and user-defined prediction problems. XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible, and portable. It implements machine learning algorithms under the Gradient Boosting framework. [...]

TensorFlow : An end-to-end platform for machine learning

By |2020-11-29T12:34:41+03:3022nd November, 2020|Categories: DS knowledge, Python knowledge|Tags: , |

TensorFlow has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML, and developers easily build and deploy ML-powered applications. Is TensorFlow better than PyTorch? PyTorch has long been the preferred deep-learning library for researchers, while TensorFlow is much more widely used in production. PyTorch's ease of use combined with the default eager [...]

PyTorch : Tensors and Dynamic neural networks in Python

By |2020-11-29T12:35:12+03:3021st November, 2020|Categories: DS knowledge, Python knowledge|Tags: , |

PyTorch is an open-source deep learning framework built to be flexible and modular for research, with the stability and support needed for production deployment. A machine-learning library based on the Torch library.  PyTorch provides a Python package for high-level features like tensor computation (like NumPy) with strong GPU acceleration and TorchScript for an easy transition between [...]

SciKit-Learn : The robust library for machine learning in Python

By |2020-11-29T12:35:36+03:3020th November, 2020|Categories: DS knowledge, Python knowledge|Tags: , , |

Scikit-learn (Sklearn) provides a selection of efficient tools for machine learning and statistical modeling including classification, regression, clustering, and dimensionality reduction via a consistent interface in Python.   Prerequisites for Scikit-learn Before we start using scikit-learn latest release, we require the following: Python (>=3.5) NumPy (>= 1.11.0) Scipy (>= 0.17.0) Joblib (>= 0.11) Matplotlib (>= 1.5.1) is [...]