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Hi πŸ‘‹, I'm Ram Seshadri

I am a Data Scientist and an Open Source contributor and collaborator

  • πŸ”­ I’m currently working on deep_autoviml

  • 🌱 I’m currently teaching in Coursera about Machine Learning for Trading

  • 🀝 I’m looking for help with Projects

  • πŸ‘¨β€πŸ’» All of my projects are available at Auto_ViML

  • πŸ’¬ Ask me about Deep Learning, Automated ML, Automated Visualization

Connect with me:

shankarpandala

Languages and Tools:

docker git python scikit_learn

Β AutoViML

AutoViML

Ram Seshadri's Projects

adasmooth icon adasmooth

An optimizer that transitions from SGD to Adam via weighted average of calculated steps

bios8366 icon bios8366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

coursera-ml-andrewng icon coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

dat8 icon dat8

General Assembly's Data Science course in Washington, DC

deep-learning-book icon deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep_autoviml_pipeline icon deep_autoviml_pipeline

Quick tutorial on orchest.io that shows how to build multiple deep learning models on your data with a single line of code using the popular python library, Deep AutoViML.

ennui icon ennui

An Elegant Neural Network User Interface to build drag-and-drop neural networks, train in the browser, visualize during training, and export to Python.

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

imbalanced-learn icon imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

livestreamer icon livestreamer

Command-line utility that extracts streams from various services and pipes them into a video player of choice.

orchest-examples icon orchest-examples

Awesome Orchest projects, both official and submitted by the community.

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pymc3_euss icon pymc3_euss

Course in Probabilistic Programming in Python for the 2018 EU Summer School

pyoanda icon pyoanda

Oanda’s API python wrapper. Robust and Fast API wrapper for your Forex bot Python library that wraps Oanda API. Built on top of requests, it’s easy to use and makes sense.

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