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GitHub Repo https://github.com/http406/Vect-Field-Remastered.py

http406/Vect-Field-Remastered.py

From the previous code of Vector Field 2D, using arrows to represent a vector field works fairly well. But matplotlib can do better than this—it can show the streamlines of a vector field. A streamline shows how the vector field flows. In this recipe, we will show you how to create streamlines. Let's use the fluid flow example of the previous recipe. You will simply replace the arrows ( the first code of vector field ) with streamlines, as shown in the following code.

GitHub Repo https://github.com/HRK1/Support-vector-machine-cupcake-vs-muffin

HRK1/Support-vector-machine-cupcake-vs-muffin

This project is based on support vector machine. SVM are supervised learning models. In this i used the recipes to predict whether its cupcake or muffin. In this project I mainly use numpy for linear analysis and pandas for importing data , sklearn(machine learning package which contains 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.) and for plots i used matplotlib and seaborn and pickle using pandas I import the data from the cvs file. from seaborn imported sns for plot. Then started to train data. plotted hyperplane Then finally use functions to predict by given recipe.