PREDICTING A SMALL CAP COMPANY GROWTH USING PYTHON LIBRARIES

Registration ID: IJNRD_200731

Published ID: IJNRD2306638

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Kandadi Thirupathi Reddy, Prof. G. Shankar Lingam

smallcap, prediction, regression algorithm, machine learning, google colab.

ABSTRACT Predicting a small cap company growth is always a difficult task but by using some technology we can predict it successfully. First we need to collect data from various sources and create graphs for data then predict the stock growth according to the market to the market conditions and company performance. To predict the stock growth we need to use some algorithms like linear regression algorithm, support vector machine learning algorithm and naïve bayes algorithms. These three algorithms are important to analyses the stock growth in a successful way. To predict the stock growth we need to use python coding language. The pre defined algorithms and libraries are helps to analyses the stock growth in a easier way. In this journal we practically shown you the code of python and the successful execution images also.

Published Paper   E-Certificate

Kandadi Thirupathi Reddy & Prof. G. Shankar Lingam (June-2023). PREDICTING A SMALL CAP COMPANY GROWTH USING PYTHON LIBRARIES. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(6), g358-g372. https://ijnrd.org/papers/IJNRD2306638.pdf

Volume 8 Issue 6, June-2023

Pages : g358-g372

Paper Reg. ID: IJNRD_200731

Published Paper Id: IJNRD2306638

Downloads: 000121994

Research Area: Engineering

Author Type: Indian Author

Country: Ellanthakunta/Jammikunta, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2306638.pdf

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