Himani Agrawal (MSopranoInTech)

MSopranoInTech

Geek Repo

Company:AT&T

Location:Dallas

Home Page:http://hagrawal.me.uh.edu

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Himani Agrawal's repositories

Churn-prediction

Machine Learning to predict the possibility of customer churning

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FreeML

Data Science Resources (Mostly Free)

Parkinson-disease-prediction

Machine Learning for early detection of Parkinson's disease from RNA Sequencing data

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aiexperiments-ai-duet

A piano that responds to you.

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data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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data-science-primer

A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/

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Fraud-detection-Case-Study

Fraud detection in a e-commerce website using machine learning

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Jokes-recommender-case-study

Create a jokes recommender based on publicly available Jester jokes datatset using Graphlab's matrix factorization

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datasharing

The Leek group guide to data sharing

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deepgo

Function prediction using a deep ontology-aware classifier

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Machine-Learning-Books-With-Python

Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python

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multi-class-text-classification-cnn

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

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Navigation-using-Deep-Q-Learning

DQN to train RL agent navigate a square world for maximizing rewards

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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tensorflow

Computation using data flow graphs for scalable machine learning

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