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Hello, I'm Krishna More šŸ‘‹

PYTHON MachineLearning Deeplearning

Engineering Managemen student at University of Southern California. Machine Learner Engineer with passion for AI, Analysis or Analytics. Fascinated by everything that's CS related. Proudly from MUMBAI, INDIA.

  • šŸ”­ Iā€™m currently studying Masters of Science in Engineering Management at University of Southern California
  • šŸŒ± Iā€™m currently learning Tensorflow and Tableau
  • āš™ļø Mastering: .PYTHON,.MachineLearning,.DeepLearning,.Tableau
  • šŸ‘Æ Iā€™m looking to collaborate on Open Source and/or AI projects
  • šŸ’¬ I'm mostly active within the MachineLearning, TensorFlow,Pytorch and Keras communities

šŸ“¬ Get in Touch

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krishna more's Projects

neurips2014 icon neurips2014

Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.

opencv icon opencv

Open Source Computer Vision Library

ozone_detection_using_ai icon ozone_detection_using_ai

The research has been implemented to classify the ground level-based ozone data based on complex machine learning models to solve this problem. The data has two classes as the target; here, the ozone day is represented by class one, and the non-ozone day is defined as class zero. Ground-level ozone is a hazardous pollutant that silently kills humans, animals, and plants.

pillow icon pillow

The friendly PIL fork (Python Imaging Library)

rev.conf icon rev.conf

How Confident Was Your Reviewer? Estimating Reviewer Confidence From Peer Review Texts

static_html_css_only icon static_html_css_only

This is a simple static website build only using HTML and CSS3. This is an academic assignment for Internet programming.

stock-market-sentiment-analysis-using-ai icon stock-market-sentiment-analysis-using-ai

Project Stock Market Sentiment Analysis Using AI Oct 2020 ā€“ Nov 2020 Project descriptionThis is a NLP Based sentiment analysis project in which I have tried to do sentiment analysis on stock market dataset. In this you will find that I have tried to use Machine Learning models on the data set and then used RNN model for a better accuracy. My codes show that RNN model give more strong accuracy .

talos icon talos

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

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