Machine Learning: Python Simple Linear Regression | Predict future sales | Predictive Analytics

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In this video we will predict a company's sales using simple linear regression. We use training dataset that has Marketing Budget and corresponding Sales and train a linear regression model using sklearn linear regression. Using this regression model we use the predict method from the linear regression object to make actual forecast.

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#MachineLearning #LinearRegression #scikitlearn

Topics covered in this Machine Learning Video:
0:00 Simple linear regression Overview
1:21 Linear equation
3:41 Import sklearn library & libraries
4:23 Import data in dataframe
4:49 heatmap
5:24 Scatter plot
6:16 Create Linear Regression object
6:38 Predict a single value
9:37 Forecast the sales for future quarters

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You made it crystal clear! Thank you Sir.

gulmiraleman

amazing video, can you just let me know in the last graph, what are the x and y axis? Y should be the actual sales but the X axis? Is it the marketing budget or a time frame?

fori

Great Video! Quick question, how come you don't do a split of the data and test it? Do you have a video covering 2 or more independent variables to predict the y-variable?

ShiftKoncepts

For this part "plt.scatter(df['Marketing Budget (X) in Thousands'], df['Actual Sales(Y) in Millions'], color='red')" does it matter which order they go in?

ShiftKoncepts

Hello again. Can I turn this into a tensorflowlite model?

arvguerrero

Hello can you please help me I got "Unexpected expection formatting exception. Falling back to standard expcrtion" error thank you 💫

blackmirror

Hello. How can I integrate this to my android application using kotlin? Thank you!

arvguerrero

In this part "plt.plot(df['Marketing Budget (X) in Thousands'], y_predict, 'r')" what is the 'r' for?

ShiftKoncepts

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