Stock prediction using clustering and classification model

Stock Prediction —————— 1. Data Collection Phase: ————————– a. We have collected real time data from nse website. b. Any stock with NSE symbol can be given in the textbox “Enter Symbol” Ex. SBIN, HDFC, TCS, INFY c. Press Submit button to extract real time data from 2000 to present date d. Feature collected are Date, Symbol, Series, Prev close, Open, High, Low, Last, Close, VWAP, Volume, Turnover e. Also shown price trend in graph 2. Prediction Phase ——————– a. We have applied Kmeans Clustering, we have created 3 clusters…

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Named Entity Recognition for Hindi-English Code-Mixed Social Media Text

Named Entity Recognition for Hindi-English Code-Mixed Social Media Text   Named Entity Recognition (NER) is a major task in the field of Natural Language Processing (NLP), and also is a subtask of Information Extraction. The challenge of NER for tweets lies in the insufficient information available in a tweet. There has been a significant amount of work done related to entity extraction, but only for resource-rich languages and domains such as the newswire. Entity extraction is, in general, a challenging task for such an informal text, and code-mixed text further…

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Hand gesture recognition using Opencv Python

The emerging of need of domestic robots in real world applications has raised enormous need for instinctive and interaction among human and computer interaction (HCI). In a few conditions where humans can’t contact hardware, the hand motion recognition framework more suitable. Hand gesture recognition is used on controlling robots, portable controllers, or application in smart home. Gesture recognition is mainly applicable for video conferencing, sign language recognition, distance learning and in some forensic identification. Based on fingers’ angles relative to the wrist, a finger angle prediction algorithm and a template…

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