awesome-python-for-data-science
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Data-Centric-AI-Community
A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data...
### Description Create a tutorial that introduces beginners to addressing imbalanced datasets by undersampling the majority class. Explain techniques like random undersampling, and others. ### Acceptance Criteria - [ ]...
### Description Craft a tutorial for beginners on addressing imbalanced datasets by oversampling the minority class. Show techniques like random oversampling and synthetic oversampling using SMOTE, or others of your...
### Description Create a tutorial for beginners that explains the concept of cross-validation in machine learning. Guide users through implementing k-fold cross-validation to assess model performance. ### Acceptance Criteria -...
### Description Create a tutorial that introduces beginners to time series data analysis. Cover basic concepts and simple forecasting techniques. ### Acceptance Criteria - [ ] Submit a Jupyter notebook...
### Description Create a Jupyter Notebook tutorial explaining the concept of simple linear regression and how to perform it in Python for basic predictive modeling. ### Acceptance Criteria - [...
### Description Develop a tutorial that walks beginners through exploratory data analysis using the ydata-profiling library. ### Acceptance Criteria - [ ] Submit a Jupyter notebook containing the tutorial and...
### Description Develop a tutorial showcasing how to optimize machine learning models by tuning hyperparameters using grid search. ### Acceptance Criteria - [ ] Submit a Jupyter notebook containing the...
### Description Create a Jupyter Notebook tutorial that introduces Principal Component Analysis (PCA) for dimensionality reduction. Explain the concept of PCA, and its applications, and provide a tutorial on how...
### Description Craft a Jupyter Notebook tutorial explaining how to convert numerical data into categorical format. Illustrate use cases and methods for creating meaningful categories from continuous variables. ### Acceptance...
### Description Develop a Jupyter Notebook tutorial on transforming non-Gaussian distributions into more Gaussian-like ones. Explore various techniques like log transformations and others to enhance the distribution of data. ###...
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A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data...