accessnash
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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Tue May 12 20:26:35 2020 | |
| @author: User | |
| """ | |
| import numpy as np | |
| import pandas as pd | |
| import matplotlib.pyplot as plt |
accessnash
/ image_classification.py
Created
February 10, 2020 21:12
Image classification using CNN for the CIFAR10 dataset
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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Sun Feb 9 17:57:10 2020 | |
| @author: DASA0 | |
| """ | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| import seaborn as sns |
accessnash
/ purchase_amount_prediction.py
Last active
February 6, 2020 19:13
Car sales prediction using Artificial Neural netwroks
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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Mon Feb 3 20:02:37 2020 | |
| @author: DASA0 | |
| """ | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| import seaborn as sns |
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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Wed Jan 22 21:08:27 2020 | |
| @author: DASA0 | |
| """ | |
| """ Solve y' = y + 3 for the domain [2, 4] and y(2) = -2. Analytical solution: y = exp(x-2) - 3""" | |
| import numpy as np |
accessnash
/ gauss-siedel.py
Created
January 19, 2020 11:53
Solving a system of linear equations using Gauss Siedel method, where the only difference from Jacobi's method is that the new values of x are applied to the subsequent equations in the same iteration
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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Sun Jan 19 12:47:08 2020 | |
| @author: DASA0 | |
| """ | |
| """ Gauss- Sidel's method""" | |
| import numpy as np |
accessnash
/ jacobi.py
Created
January 19, 2020 11:20
Solving a system of linear equations using Jacobi's method
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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Sun Jan 19 11:53:03 2020 | |
| @author: DASA0 | |
| """ | |
| import numpy as np | |
| a = np.array([[1, 2, -3, 4], |
accessnash
/ gauss-elimination.py
Created
January 18, 2020 18:52
Solving a system of linear equations by Gauss elimination method - Udemy
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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Sat Jan 18 19:44:20 2020 | |
| @author: DASA0 | |
| """ | |
| """ Solve the system of linear equations given in the matrices below""" | |
| from numpy import array, zeros |
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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Wed Jan 15 19:23:13 2020 | |
| @author: DASA0 | |
| """ | |
| """ find the value of the integral xsinx from 0 to pi/2""" | |
| """Simpson's 1/3rd rule""" |
accessnash
/ trapezoidal-rule.py
Created
December 30, 2019 20:07
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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Mon Dec 30 21:00:52 2019 | |
| @author: DASA0 | |
| """ | |
| """ find the value of the integral xsinx from 0 to pi/2""" | |
| from math import sin, pi |
accessnash
/ finite-differences.py
Created
December 29, 2019 16:13
Solving for the 1st & 2nd derivatives of a given polynomial using Finite differences methods
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| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Sun Dec 29 16:51:25 2019 | |
| @author: DASA0 | |
| """ | |
| """ find the 1st & 2nd derivatives of the polynomial at x = 0.1: | |
| f(x) = 0.1x^5 -0.2x^3 + 0.1x - 0.2 """ | |