Browsing by Subject "ARIMA"
Now showing items 1-10 of 10
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Analyzing area-wise air pollution level using machine learning for a better future
(Brac University, 2021-09)Environment consists of nature and surroundings where all living beings co-exist. Harming the environment will in turn harm all living and non-living things alike. One of the major concerns of environment pollution is ... -
Bitcoin price forecasting based on historical data
(BRAC University, 2018-07)Over the past few years, Bitcoin has been a topic of interest of many, from academic researchers to trade investors. Bitcoin is the first as well as the most popular cryptocurrency till date. Since its launch in 2009, it ... -
Comparing the performance of time series models for forecasting exchange rate
(BRAC University, 2008)In this paper an attempt has been made to compare different time series models to forecast exchange rate. A survey of literature shows that continuous debate is going on whether exchange rate follows a random walk or it ... -
Demand forecasting on supply chain using ML and NN
(Brac University, 2022-05)Demand forecasting is mainly a process whereby analyzing historical sales data, strategic and operational strategies are devised in order to estimate customer demand. One of the most fundamental aspects of supply chain ... -
Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
(Brac University, 2022-09)The stock market is unstable and generally unpredictable, as any one of us could have predicted. Researchers have been experimenting with time-series data to forecast future values for many years, with stock valuation ... -
Dhaka Stock Market analysis with ARIMA-LSTM Hybrid Model
(Brac University, 2019-08)This paper proposes the forecasting of correlation coe cients of Dhaka Stock Ex- change market assets required for portfolio optimization using an ARIMA-LSTM hybrid model. We have developed a robust model that encompasses ... -
Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
(Brac University, 2021-09)Agriculture has been the driving force of the Bangladesh economy. In the agricultural sector, farmers are largely incapable of using scientific technology to maximize crop yield and identify which crops can be grown in ... -
A macroeconomic model for forecasting crude oil prices with Feedforward Neural Network Grid Search Experimentation
(Brac University, 2019-12)Crude oil is one of the most important determinant of the global and national economy and important decision making factors of industrial activities. For this reason, numerous mathematical and machine learning approaches ... -
Stock price prediction using time series data
(Brac University, 2019-08)Researchers has taken a lot of years to make algorithms fast and accurate enough to make stock price predictions accurately. Investors are looking for smarter techniques to forecast stock prices for investments and this ... -
Weather Pattern Extraction using Statistical Methods & Machine Learning Techniques
(Brac University, 2021-06)It is known to all that the existence of life is highly dependent on the weather. Due to the unfavorable condition of current global weather the existence of life is in danger already. Since for the existence of lives a ...
