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data-preprocessing-techniques

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AnkitDimri4 / Machine_Learning_Notes_and_Projects

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Welcome to my Machine Learning repository! This collection is a comprehensive guide to key Machine Learning concepts, techniques, and practical implementations. I've organized the content into modules, each focusing on different aspects of Machine Learning, from foundational principles to advanced algorithms and projects.

deep-learning tensorflow numpy scikit-learn keras pandas seaborn matplotlib convolutional-neural-networks support-vector-machine machine-learning-basics torchvision decision-tree-implementation data-preprocessing-techniques linear-regression-projects apriori-algorithm-evaluation logistic-regression-projects naive-bayes-knn-projects neural-networks-implementation overfitting-underfitting-clustering
  • Updated Sep 10, 2024
  • Jupyter Notebook

mohamedezzeldeenhassanmohamed / ML-GUI-Task

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Before GUI, There are Two ways to preprocessing any data set with two jupyter notebooks, GUI to choose Cleaned CSV data_set,Show most of properties of this data_set,Choose test size & alpha size & error metrics to train Ml algorithm on this data set,show ( test & train ) Percentage as output

python gui algorithms test linear-regression beta ml mse alpha train preprocessing data-cleaning rmse house-price-prediction mae data-metrics pyqt5-desktop-application imputation-methods dataset-information data-preprocessing-techniques
  • Updated Jul 9, 2023
  • Jupyter Notebook

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