Ashish Gore (@Ashish-Gore)
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Ashish-Gore

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  • Stars
    star
    23
  • Global Rank 587,022 (Top 21 %)
  • Followers 36
  • Following 3
  • Registered almost 5 years ago
  • Most used languages
    Jupyter Notebook
         57.1 %
    HTML
         28.6 %
    R
         14.3 %
  • Location 🇮🇳 India
  • Country Total Rank 24,081
  • Country Ranking
    R
         99
    Jupyter Notebook
         7,152

Top repositories

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Data-Science-Case-Studies-And-Algorithms

ExcelR Assignments and Projects
R
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AWS-Fundamentals-Specialization

About this Specialization - This specialization gives aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.
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Forge-or-Real-Signature-Detection-using-Deep-Learning

Signature verification is an important biometric technique that aims to detect whether a given signature is genuine or forged. It is essential in preventing falsification of documents in numerous financial, legal, and other commercial settings. This is a comparative analysis of different already known deep learning architectures to check which of those performs the best on the classification. It was solely for offline handwritten signatures.
Jupyter Notebook
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Certifications

Certificates and Accomplishments of Ashish Gore.
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NLP-Top5-QA-Project-Deployment

HTML
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6

Ashish-Gore

Ashish's Profile
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Web-Scraping-using-Selenium-DS-job-market-Analysis

https://ashishgore234.wixsite.com/ds-jobs-analysis
Jupyter Notebook
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8

Impact-Prediction-of-an-incident-Project-AWS

http://ec2-18-188-91-112.us-east-2.compute.amazonaws.com:8080/
Jupyter Notebook
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9

Loan-Prediction-Project

HTML
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10

Deeplearning.ai-Specialization

About this Specialization - In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow.
Jupyter Notebook
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