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ML & DS - Coggle Diagram

- - - - Explore & Visualise
        
        Train Algorithm
        
        Evaluate
        
        Pandas - is a fast, powerful, flexible and easy to use open-source data analysis and manipulation tool,
        built on top of the Python programming language.
        
        DataFrame - Pandas DataFrame is a very powerful spreadsheet like a spreadsheet on a steroid.
        
        X = DataFrame(rawdata, columns = [columnNames])
        y = DataFrame(rawdata, columns = [columnNames]
        X -> feature, independent variable
        y -> target, dependent variable
        
        Data Frame is a datatype which stores data in rows and columns just like spreadsheet
        
        data.describe()
        
        pd.read_csv('filename.extension')
        
        import pandas as pd
        
        Matplotlib - Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
        
        plt.show()
        
        plt.ylim(0, 3000000000)
        
        plt.xlim(0, 450000000)
        
        plt.scatter(X, y, alpha=0.3) #aplha is to make the dots tranparent
        
        plt.figure(figsize=(10,6))
        
        import matplotlib.pyplot as plt
        
        Scikit Learn - Simple and efficient tools for predictive data analysis.Built on NumPy, SciPy, and matplotlib
        
        from sklearn.linear_model import LinearRegression
        
        regression = LinearRegression()
        
        regression.fit(X, y)
        
        regression.coef_
        
        regression.intercept_
        
        plt.plot(X, regression.predict(X), color='red', linewidth=4)
        
        regression.score(X, y)
- - - - Also called the average. It the sum of all values divided by the number of values
    - - Arrange all the data in sorted order and the middle value of that sorted data is called the median
    - - It is a type of variable which can hold either 0(false) or 1(true)