Ram Seshadri's Projects
An optimizer that transitions from SGD to Adam via weighted average of calculated steps
All the code for a series of Medium articles on Approximate Nearest Neighbors
Anomaly detection algorithm implementation in Python
AutoViz pipeline example for Orchest.io
Baseball data analysis in Python
Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics
Complete-Life-Cycle-of-a-Data-Science-Project
A python library for the computation of various concentration indices
use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
2018 CQS Summer Institute course in machine learning
General Assembly's Data Science course in Washington, DC
Top 10 in MachineHack | Top 80 in AnalyticsVidya & Zindi | Hack AI
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
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.
An Elegant Neural Network User Interface to build drag-and-drop neural networks, train in the browser, visualize during training, and export to Python.
starter from "How to Train a GAN?" at NIPS2016
Python module to perform under sampling and over sampling with various techniques.
Introduction to Statistical Modeling with Python (PyCon 2017)
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Loan portfolio analysis on Lending Club's publicly available datasets
Command-line utility that extracts streams from various services and pipes them into a video player of choice.
Awesome Orchest projects, both official and submitted by the community.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Course in Probabilistic Programming in Python for the 2018 EU Summer School
Oandaβs API python wrapper. Robust and Fast API wrapper for your Forex bot Python library that wraps Oanda API. Built on top of requests, itβs easy to use and makes sense.