Stock Market Prediction Using Supervised Machine Learning Algorithm

Lecture Notes in Networks and Systems - Advances in Distributed Computing and Machine Learning ◽

10.1007/978-981-16-4807-6_36 ◽

2022 ◽

pp. 374-381

Author(s):

Swarnalata Rath ◽

Bhupendra Kumar Gupta ◽

Ajit Kumar Nayak

Keyword(s):

Machine Learning ◽

Stock Market ◽

Learning Algorithm ◽

Supervised Machine Learning ◽

Machine Learning Algorithm ◽

Stock Market Prediction

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Analysis of various machine learning algorithm and hybrid model for stock market prediction using python

2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) ◽

10.1109/icstcee49637.2020.9276859 ◽

2020 ◽

Author(s):

Sahil Vazirani ◽

Abhishek Sharma ◽

Pavika Sharma

Keyword(s):

Machine Learning ◽

Stock Market ◽

Hybrid Model ◽

Learning Algorithm ◽

Machine Learning Algorithm ◽

Stock Market Prediction

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Stock Market Prediction with Gaussian Naïve Bayes Machine Learning Algorithm

Informatica ◽

10.31449/inf.v45i2.3407 ◽

2021 ◽

Vol 45 (2) ◽

Author(s):

Ernest Kwame Ampomah ◽

Gabriel Nyame ◽

Zhiguang Qin ◽

Prince Clement Addo ◽

Enoch Opanin Gyamfi ◽

...

Keyword(s):

Machine Learning ◽

Stock Market ◽

Naive Bayes ◽

Learning Algorithm ◽

Naïve Bayes ◽

Machine Learning Algorithm ◽

Stock Market Prediction

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A Reckoning Analysis and Assessment of Different Supervised Machine Learning Algorithm for Breast Cancer Prediction

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i3.8388 ◽

2019 ◽

Vol 7 (3) ◽

pp. 83-88

Author(s):

Pragati Prakash ◽

Nidhi Ekka ◽

Manjit Jaiswal

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Learning Algorithm ◽

Supervised Machine Learning ◽

Machine Learning Algorithm ◽

Cancer Prediction

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Analysis of Gender Identification in Bahasa Indonesia using Supervised Machine Learning Algorithm

2020 3rd International Conference on Information and Communications Technology (ICOIACT) ◽

10.1109/icoiact50329.2020.9332145 ◽

2020 ◽

Author(s):

Evawaty Tanuar ◽

Edi Abdurachman ◽

Ford Lumban Gaol ◽

Lukas

Keyword(s):

Machine Learning ◽

Learning Algorithm ◽

Supervised Machine Learning ◽

Machine Learning Algorithm ◽

Gender Identification ◽

Bahasa Indonesia

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A study on supervised machine learning algorithm to improvise intrusion detection systems for mobile ad hoc networks

Cluster Computing ◽

10.1007/s10586-018-2686-x ◽

2018 ◽

Vol 22 (S2) ◽

pp. 4065-4074 ◽

Author(s):

S. Vimala ◽

V. Khanaa ◽

C. Nalini

Keyword(s):

Machine Learning ◽

Mobile Ad Hoc Networks ◽

Ad Hoc ◽

Learning Algorithm ◽

Supervised Machine Learning ◽

Intrusion Detection Systems ◽

Machine Learning Algorithm ◽

Detection Systems ◽

Mobile Ad Hoc ◽

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Selecting an appropriate supervised machine learning algorithm for predictive maintenance

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-021-08551-9 ◽

2022 ◽

Author(s):

Abdelfettah Ouadah ◽

Leila Zemmouchi-Ghomari ◽

Nedjma Salhi

Keyword(s):

Machine Learning ◽

Learning Algorithm ◽

Predictive Maintenance ◽

Supervised Machine Learning ◽

Machine Learning Algorithm

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AI3 PREDICTION OF BREAST CANCER USING K-NEAREST NEIGHBOUR: A SUPERVISED MACHINE LEARNING ALGORITHM

Value in Health ◽

10.1016/j.jval.2020.04.006 ◽

2020 ◽

Vol 23 ◽

pp. S1

Author(s):

S. Pandey ◽

A. Sharma ◽

M.K. Siddiqui ◽

D. Singla ◽

J. Vanderpuye-Orgle

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Learning Algorithm ◽

Supervised Machine Learning ◽

Machine Learning Algorithm ◽

Nearest Neighbour

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Author response for "Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation between sglt2 inhibitors and dpp4 inhibitors using a supervised machine learning algorithm (profile study): A Retrospective analysis of a japanese commercial medical database"

10.1111/dom.13753/v2/response1 ◽

2019 ◽

Author(s):

Fang Liz Zhou ◽

Hirotaka Watada ◽

Yuki Tajima ◽

Mathilde Berthelot ◽

Dian Kang ◽

...

Keyword(s):

Machine Learning ◽

Type 2 Diabetes ◽

Learning Algorithm ◽

Sglt2 Inhibitors ◽

Supervised Machine Learning ◽

Machine Learning Algorithm ◽

Medical Database ◽

Function Preservation ◽

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Decision letter for "Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation between sglt2 inhibitors and dpp4 inhibitors using a supervised machine learning algorithm (profile study): A Retrospective analysis of a japanese commercial medical database"

10.1111/dom.13753/v2/decision1 ◽

2019 ◽

Keyword(s):

Machine Learning ◽

Type 2 Diabetes ◽

Learning Algorithm ◽

Sglt2 Inhibitors ◽

Supervised Machine Learning ◽

Machine Learning Algorithm ◽

Medical Database ◽

Function Preservation ◽

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Hourly global solar forecasting models based on a supervised machine learning algorithm and time series principle

International Journal of Ambient Energy ◽

10.1080/01430750.2020.1718754 ◽

2020 ◽

pp. 1-12

Author(s):

Sabrina Belaid ◽

Adel Mellit ◽

Hamid Boualit ◽

Mohamed Zaiani

Keyword(s):

Machine Learning ◽

Time Series ◽

Learning Algorithm ◽

Supervised Machine Learning ◽

Machine Learning Algorithm ◽

Solar Forecasting ◽

Forecasting Models

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