About Me





Student at SRM University
  
Major Skills:  Machine Learning | Deep Learning | Statistical Data Analysis | Python | Data Analyst | Artificial Intelligence| Software Development| Game Development  | 

Check Out My Projects On GITHUB and You can download my Resume below.

To contact me : -->Click Here<--

email: mrrobot0497@gmail.com


Comments

  1. Anonymous2 September 2017 at 02:33

    Very Good Content but not Consistent in posts so do be consistent

    ReplyDelete

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Getting Started with YOLO object detection with sample code and detection

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Intro You only look once (YOLO) is a system for detecting objects on the  Pascal VOC  2012 dataset. It can detect the 20 Pascal object classes: person bird, cat, cow, dog, horse, sheep aeroplane, bicycle, boat, bus, car, motorbike, train bottle, chair, dining table, potted plant, sofa, tv/monitor YOLO is joint work with  Santosh ,  Ross , and  Ali , and is described in detail in our  paper . How it works All prior detection systems repurpose classifiers or localizers to perform detection. They apply the model to an image at multiple locations and scales. High scoring regions of the image are considered detections. We use a totally different approach. We apply a single neural network to the full image. This network divides the image into regions and predicts bounding boxes and probabilities for each region. These bounding boxes are weighted by the predicted probabilities. Finally, we can threshold the detections by some value to only s...
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Subject Sentiment Analysis CODE for Twitter

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Why Sentiment Analysis ? Millions of messages are appearing daily in popular web-sites that provide services for microblogging such as Twitter , Tumblr , Facebook . Authors of those messages write about their life, share opinions on variety of topics and discuss current issues. Because of a free format of messages and an easy accessibility of microblogging platforms, Internet users tend to shift from traditional communication tools (such as traditional blogs or mails) to microblogging services. As more and more users post about products and services they use, or express their political and religious views, microblogging web-sites become valuable sources of people’s opinions and sentiments. Such data can be efficiently used for marketing or social studies. Source : you can follow this project on my GIthub . -->Click Here<-- "This is sample project to analyze sentiments based on particular subject" We would like to add Facebook Sentiment Analysis based ...
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virtual mouse and keyboard

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