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1- Linear Regression
1- Linear Regression
 
 
2- Linear Regression mulit variavle
2- Linear Regression mulit variavle
 
 
3- Gradient and cost
3- Gradient and cost
 
 
4- dummy variable and onehotencoder
4- dummy variable and onehotencoder
 
 
5- Logistic Regression (Binary Classification)
5- Logistic Regression (Binary Classification)
 
 
6- Logistic Regression(Multiclass Classification)
6- Logistic Regression(Multiclass Classification)
 
 
7- Decision Tree
7- Decision Tree
 
 
8- Support Vector Machine
8- Support Vector Machine
 
 
9- Random Forest
9- Random Forest
 
 
MatPlotBasics.ipynb
MatPlotBasics.ipynb
 
 
README.md
README.md
 
 

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Machine Learning and Data Science

Data science is about using data to create as much impact as possible. Data Science is almost everything that has something to do with data: Collecting, analyzing, modeling, yet the most important part is its application all sort of application. It is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data.

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Linear Regression

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