Amit Vikram Tripathi

Amit Vikram Tripathi

Gurugram, Haryana, India
10K followers 500+ connections

About

As a passionate advocate for entrepreneurship, I've spent years working with startup…

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Experience

  • Capxly Graphic

    Capxly

    Gurugram, Haryana, India

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    Gurugram, Haryana, India

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    Gurugram, Haryana, India

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    Delhi, India

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    New Delhi, Delhi, India

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    Greater Noida

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    Hyderabad, Telangana, India

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    Noida Area, India

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    Delhi

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    Gurgaon, Haryana, India

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    New Delhi Area, India

Education

Licenses & Certifications

Publications

Courses

  • Cleaning Data in Python

    9357006

  • Importing Data In Python Part 1

    8543451

  • Importing Data In Python Part 2

    9337254

  • Intermediate Python for Data Science

    8222969

  • Introduction to Python for Data Science

    6246594

  • Python Data Science Toolbox (Part1)

    9294366

  • Python Data Science Toolbox(Part2)

    9310276

  • pandas Foundation

    9565433

Projects

  • Naive Bees Deep Learning With Images

    Developed a simple deep learning model that can automatically detect honey bees and bumble bees and then loads a pre-trained model for evaluation.

    Language: Python3
    Libraries Used:
    - pickle, pathlib, skimage [for image processing]
    - pandas, numpy, sklearn [for data processing]
    - matplotlib [for data visualization]
    - keras [for tensor layer]
    Classifier: Deep Neural Network (CNN and Dense Layer)

    See project
  • Predicting Credit Card Approval

    Developed an automatic credit card approval predictor using machine learning techniques, just like the real banks do.

    Classifier Used: Logistic Regression
    Libraries Used: pandas and sklearn
    Language: Python3

    See project
  • Sentiment Analysis | Deep Learning | CNN

    This project is about the sentiment analysis of the reviews using the deep neural network. Using the model we can easily classify any review as the as Good or Bad.

    See project
  • A Rest API for classification

    A Rest API of image classification, implemented through Flask, and pre-trained model of the Keras. Tensorflow is also used for the purpose of image processing.

    PS: The main aim of this project is to focus on the implementation of previously gained knowledge.

    See project
  • Image Classification | Deep Learning | Tensorflow

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    Developed a model for the classification of CIFAR10 and CIFAR100 dataset using a deep neural network. Experimented with the number of layers and changed other parameters for the comparative study of the model.

    Language: Python3
    Libraries Used:
    - pickle, pathlib, skimage [for image processing]
    - pandas, numpy, sklearn [for data processing]
    - matplotlib [for data visualization]
    - keras [for tensor layer]
    Classifier: Deep Neural Network (CNN and Dense Layer)

    Other creators
    See project

Languages

  • English

    Professional working proficiency

  • Hindi

    Native or bilingual proficiency

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