varuni-d

varuni-d

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Location:San Francisco, CA

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varuni-d's repositories

FitSNAP_AB

Software for generating SNAP machine-learning interatomic potentials

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HyperparameterPipeline_Tutorial

Tutorial notebook for hyperparameter tuning for a model set using Pipeline

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workshop

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

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jupyter-tips-and-tricks

Using Project Jupyter for data science.

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Spam-Detection-with-Naive-Bayes-

Spam detection model from scratch using the Naive Bayes algorithm on the Enron dataset

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Supervised-Learning-Predictive_Analysis_on_StackOverflow

Predictive Analysis on the response rate for a question posted on Stack Overflow using different ML algorithms.

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Computer-Vision-Age-and-Gender-prediction-CNN-with-TensorFlow

Gender and Age Detection Model with Convolutional Neural Networks (CNN)

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kaggle-protein-image-classification

This is the solution for Kaggle in-class human protein classification competition.

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Springboard-Projects

This rep contains the projects I've completed in partial satisfaction of the Springboard Data Science Career Track Program

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Essential-NLP

This repository accompanies the book "Getting Started with Natural Language Processing"

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Time-series-analysis-and-Sales-forecasting

Time series forecasting pipeline to predict weekly sales transactions, including feature engineering, using SARIMAX.

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DataCamp_courses

This rep contains completed DataCamp courses

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DataCamp_projects

This rep contains DataCamp Projects

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ml-on-gcp

Machine Learning on Google Cloud Platform

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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notes

Course notes

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DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

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five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

License:MITStargazers:0Issues:0Issues:0

production-data-science

Production Data Science: a workflow for collaborative data science aimed at production

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DS-Take-Home

My solution to the book A Collection of Data Science Take-Home Challenges

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2015lab4

Lab for Linear and Logistic Regression, SciKit Learn

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