Use of predictive analytics in Business

Use of predictive analytics in Business

This internship report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2022.

Bibliografiske detaljer
Hovedforfatter:	Raihana, Fabiha
Andre forfattere:	Shuvo, Mr. Shihab Kabir
Format:	Internship report
Sprog:	English
Udgivet:	Brac University 2023
Fag:	Machine learning Predictive analytics CRMS ICT solutions Techno- commercial Data analysis Business forecasting > Mathematical models. Business forecasting > Data processing.
Online adgang:	http://hdl.handle.net/10361/18266

Lignende værker

Start up business solution using machine learning
af: Sohan, Saad Ahmed, et al.
Udgivet: (2018)

A novel approach to forecast traffic congestion using CMTF and machine learning
af: Chowdhury, Md. Mohiuddin, et al.
Udgivet: (2018)

Heart failure risk prediction and medicine recommendation system using exploratory analysis and big data analytics
af: Habib, Sumaya, et al.
Udgivet: (2019)

Forecasting Dhaka stock exchange prices using machine learning models: a Performance analysis
af: Alam, Md. Iftekharul, et al.
Udgivet: (2024)

Financial modeling of RMPM forecasting and analysis in Unilever Bangladesh Limited
af: Rafa, Hridita Noori
Udgivet: (2024)

Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
af: Safa, Bushra, et al.
Udgivet: (2023)

Parking data analysis
af: Ahamed, Kasfi, et al.
Udgivet: (2023)

Business forecasting /
af: Hanke, John E., 1940-
Udgivet: (2005)

Urban pattern recognition from multi-spectral satellite images and flood prediction using machine learning models
af: Tasnia, Rifah, et al.
Udgivet: (2024)

Predicting a T20 cricket match result while the match is in progress
af: Munir, Fahad, et al.
Udgivet: (2015)

Business for the 21st century /
af: Skinner, Steven J.
Udgivet: (1992)

Stock price prediction
af: Das, Kaushik, et al.
Udgivet: (2023)

Prediction of earthquakes: a step towards predicting the unpredictable
af: Chowdhury, Maheen, et al.
Udgivet: (2023)

Flight fare prediction using machine learning
af: Noyon, Md. Shaim Hosan, et al.
Udgivet: (2024)

Flood prediction using ensemble machine learning models
af: Rahman, Tanvir
Udgivet: (2024)

Scrutiny of electricity data for consumption and load forecasting
af: Islam, Samiul
Udgivet: (2018)

Importance of data analytics in advertising
af: Ahsan, Nazmul
Udgivet: (2019)

Nowcasting GDP : A Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies /
af: Dauphin, Jean-Francois
Udgivet: (2022)

Weather forecasting using Deep Learning
af: Fahad, Sheikh Abdul, et al.
Udgivet: (2023)

Business forecasting for management /
af: Pecar, Branko, 1953-
Udgivet: (1994)

Share market forecasting with LSTM neural network and sentimental trend prediction
af: Rony, Ismail Hossain, et al.
Udgivet: (2020)

Predicting depression in Bangladeshi undergraduates using machine learning
af: Choudhury, Ahnaf Atef, et al.
Udgivet: (2019)

Predicting climate induced floods using machine learning
af: Saleh, Chowdhury Nafis, et al.
Udgivet: (2022)

The second curve : thoughts on reinventing society /
af: Handy, Charles B.
Udgivet: (2015)

Finding ideal geographical location for businesses using machine learning technique
af: Mahmud, Mir Ibtid, et al.
Udgivet: (2022)

Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
af: Hasan, Raad, et al.
Udgivet: (2021)

Adaptive methods of computing mathematics and mechanics : stochastic variant /
af: Arsenʹev, D. G. (Dmitriĭ Germanovich), 1963-
Udgivet: (1999)

Machine learning as an indicator for breast cancer prediction
af: Shadman, Tahsin Mohammed, et al.
Udgivet: (2019)

The fortune sellers : the big business of buying and selling predictions /
af: Sherden, William A.
Udgivet: (1998)

A graphical data analyzer that analysis trend of a portal traffic based on big data stored by Google Analytic
af: Farhan, S.M. Zamshed
Udgivet: (2018)

Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping
af: Zaman, Md. Sayeed Ibne, et al.
Udgivet: (2022)

An implementation and analysis of deep learning models for the detection of wheat diseases
af: Zubair, Ahmad, et al.
Udgivet: (2024)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
af: Mahmud, Booshra Nazifa, et al.
Udgivet: (2019)

Abundance : the future is better than you think /
af: Diamandis, Peter H.
Udgivet: (2012)

Systematizing Macroframework Forecasting : High-Dimensional Conditional Forecasting with Accounting Identities /
af: Ando, Sakai
Udgivet: (2022)

Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
af: Islam, Zahedul, et al.
Udgivet: (2023)

Implementing temporally coherent clustering on student activity to predict exam performance & optimizing the learning pathway through markov chain analysis
af: Anough, Ahmed Saquif Alam, et al.
Udgivet: (2019)

Econometric models and economic forecasts /
af: Pindyck, Robert S.
Udgivet: (1998)

Agricultural yield and profit prediction using data analysis techniques
af: Hassan, Fazal Mahmud, et al.
Udgivet: (2019)

Travel time prediction using machine learning and weather impact on traffic conditions
af: Deb, Bilash, et al.
Udgivet: (2018)