Browsing by Author "Fatima Qureshi"

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    A study of aggressive fantasies among adolescents
    (UMT Lahore, 2015) Fatima Qureshi
    The focus of the study is to investigate aggressive fantasies among adolescents. Two groups of adolescents were taken with their age range 18 to 23 years. It was hypothesized that boys will have show more aggressive fantasies than girls. The data was collected through 7 items aggressive fantasies scale, which was developed by (Huesman & Eron, 1986). A total of 100 adolescents were taken, half of them were boys and half of them were girls, all belonging to University of Management and Technology Lahore, Pakistan. The results showed that there is a slight difference of aggressive fantasies in boys as compared to girls as boys have more aggressive fantasies than girls, overall age difference with reference to aggressive fantasies among girls and boys were not found.
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    Stock prediction using deep learning
    (UMT Lahore, 2021-09-10) Fatima Qureshi; Sadia Zia; Shamza Farooq; Arwa Mahmood
    The future worth of a firm stock or other financial instrument traded on an exchange is determined by stock price prediction. A successful prediction of a stock’s future price could result in large profit. Deep learning is a very proved and a more reliable way of studying stock data. This research is unique in terms of being beneficial to our stockholders, which can make secure decisions using this research to enhance stock market. The program uses the model to train the dataset and give output for the next month’s statistics. This research is done with the core concepts of deep learning. Different algorithms are used to determine the best and accurate results for the prediction. Algorithms like NLP, linear regression, decision tree, LSTM and GRU were used on datasets of Apple, UBL Bank and HBL Bank. The highest accuracy rate was achieved by using LSTM and GRU combined which is more than 80% accurate.