Balloon and melon data visualization
- Deaths and cases of corona virus in Iran
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KNN algorithm
Male Female Detection By Height and Weight using KNN algorithm
![](https://github.com/Parisa-Bagherzadeh/Machine-Learning/raw/main/Assignment34/charts/output.png)
- Ranom lines on study time and grade data
![](https://github.com/Parisa-Bagherzadeh/Machine-Learning/raw/main/Assignment36/charts/random%20lines.png)
- Comparing fitted lines of lingress method and linear regression
![](https://github.com/Parisa-Bagherzadeh/Machine-Learning/raw/main/Assignment36/charts/compare.png)
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Predicting prices of Boston hosing dataset using Linear Least Square
two features Age and Number of rooms are chosen
Wroking on digikala dataset to get some information
- Oreder amount per month
![](https://github.com/Parisa-Bagherzadeh/Machine-Learning/raw/main/Assignment37/charts/plot.png)
- Customers per city
![](https://github.com/Parisa-Bagherzadeh/Machine-Learning/raw/main/Assignment37/charts/pie.png)
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QRcode reader
First install pybzar library , then run the code
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Linear regression on abalone dataset to predict the age of a shell
![](https://github.com/Parisa-Bagherzadeh/Machine-Learning/raw/main/Assignment37/charts/abalone.png)
Algorithm | Loss |
MAE | 0.039 |
MSE | 0.002 |
Hobber loss | 0.001 |
Hinge loss | 0.97 |
Perceptron algorithm for predicting the price of Boston housing dataset
To predict the price of the houses, two most correlated features,ZN and RM are chosen
![](https://github.com/Parisa-Bagherzadeh/Machine-Learning/raw/main/Assignment38/charts/corr.png)
Average error given each data
![](https://github.com/Parisa-Bagherzadeh/Machine-Learning/raw/main/Assignment38/charts/cost.png)
3D surface showing predicted prices
![](https://github.com/Parisa-Bagherzadeh/Machine-Learning/raw/main/Assignment38/charts/regression.png)
Weather forecasting with a single perceptron
In the case of a single perceptron ,it is well known that it will never converge on nonlinear data
so when using it forcasting the weather , it will never return any desirable answer
The loss of the model is 8.29
![](https://github.com/Parisa-Bagherzadeh/Machine-Learning/raw/main/Assignment39/charts/chart.png)
Compare different machine learning algorithm for Titanic problem
Implementing Titanic problem with different maching learning algorithms
to predict the survival and comparing the accuacy
Algorithm | KNN | Perceptron | MLP(Multi Layer Perceptron |
Accuracy | 65.55 | 61.96 | 0.91 |
![](https://github.com/Parisa-Bagherzadeh/Machine-Learning/raw/main/Assignment40/charts/chart.png)
Weather forecasting with a Neural Network
Comapring the loss of a single perceptron and a Neural Network
Algorithm | Single Perceptron | Neural Network |
Loss | 8.29 | 3.02 |
loss chart from wandbi.ai
![](https://github.com/Parisa-Bagherzadeh/Machine-Learning/raw/main/Assignment41/charts/loss.png)