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#scikitlearn #sklearn #MachineLearning #python #californiaHousing #MachineLearningAndStatisticalAnalysis
Introduction To Scikit Learn | Scikit-Learn | Python | California Housing Price Prediction
Video Link : https://www.youtube.com/watch?v=YoTWYlz2lp0&t=6s
Scikit-learn (formerly scikits.learn and also known as sklearn) is a free software machine learning library for the Python programming language.[3] It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. [Credits : Wikipedia]
GitHub Link (Notebook): https://github.com/OvaizAli/Coderz-Den
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Here is a detailed Hands-on implementation of TF-IDF from scratch in Python.
Read more: https://analyticsindiamag.com/hands-on-implementation-of-tf-idf-from-scratch-in-python/?fbclid=IwAR3E_ayyJN2s8lYuFYReOS7UpWXjSffIwSfZTdg4NW6GoJW-CAraVqnjOSg
#tensorflow #machine-learning #python #scikitlearn #coding
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Scikit-learn creator and Inria tenured research director, Gael Varoquaux announced the presentation of #ScikitLearn, with applications of #machinelearning in #digital health, to the president of #France.
https://zcu.io/QMgQ
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#technology #technews #data-science #opensource #scikitlearn
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Dealing with categorical features is a common thing to preprocess before building machine learning models. In real-life data science scenario, it means that the dataset has an attribute stored as text such as days of the week(Monday, Tuesday,…, Sunday), time, colour(Red, Blue, …), or place names, etc.
Read more: https://analyticsindiamag.com/complete-guide-to-handling-categorical-data-using-scikit-learn/
#dataset #scikitlearn #scikit #data #machine-learning