Call Us

Home / Blog / Data Science Digital Book / Continuous Value Prediction

Continuous Value Prediction

  • July 15, 2023
  • 4714
  • 49
Author Images

Meet the Author : Mr. Bharani Kumar

Bharani Kumar Depru is a well known IT personality from Hyderabad; He is the Founder and Director of Innodatatics Pvt Ltd and 360DigiTMG. Bharani Kumar is an IIT and ISB alumni with more than 18+ years of experience, he held prominent positions in the IT elites like HSBC, ITC Infotech, Infosys, and Deloitte. He is a prevalent IT consultant specializing in Industrial Revolution 4.0 implementation, Data Analytics practice setup, Artificial Intelligence, Big Data Analytics, Industrial IoT, Business Intelligence, and Business Management. Bharani Kumar is also the chief trainer at 360DigiTMG with more than Ten years of experience and has been making the IT transition journey easy for his students. 360DigiTMG is at the forefront of delivering quality education, thereby bridging the gap between academia and industry.

Read More >

Scatter Diagram - Visual representation of the relationship between two continuous variables

Continuous Value Prediction

Click here to explore 360DigiTMG.

Correlation Analysis - Measures the correlation between two variables

Click here to Learn Data Science Course in Chennai

Continuous Value Prediction
Continuous Value Prediction

Click here to learn Data Science in Hyderabad

Linear Regression

Equation of straight line that we have learnt in our school days

Continuous Value Prediction
Continuous Value Prediction
Continuous Value Prediction

Continuous Value Prediction

Ordinary Least Squares

Continuous Value Prediction

Ordinary Least Squares Technique to find the best fit line.

Common Least Squares Method for locating the best-fitting line.

The line with the lowest square deviations from each data point to the line is the best fit line.

Transformations may be used to increase accuracy, ensuring that the data has a linear pattern with the least amount of dispersion.

The measure of the predictability of Y (the dependent variable) when Xs (the independent variable) are supplied is the coefficient of determination R2, also known as goodness of fit.

It may be understood as the percentage of output variability (Y) that can be explained by variance in input variability (X).

Continuous Value Prediction

Where,

Continuous Value Prediction

Watch Free Videos on Youtube

Model Assumptions

L - Linearity

I - Independent variable

N - Normal Distribution

E - Equal variances

Problems arise while linear regression model training:

Autocorrelation : Errors are dependent on each other

Heterogeneity : Errors have non-constant variance

Collinearity : Independent variable pair are linearly dependent on each other

Continuous Value Prediction

Click here to learn Data Science Course, Data Science Course in Hyderabad, Data Science Course in Bangalore

Data Science Training Institutes in Other Locations

Navigate to Address

360DigiTMG - Data Science, Data Scientist Course Training in Bangalore

No 23, 2nd Floor, 9th Main Rd, 22nd Cross Rd, 7th Sector, HSR Layout, Bengaluru, Karnataka 560102

1800-212-654-321

Get Direction: Data Science Course

Make an Enquiry