Pinned Repositories
186501xStatistics
CheatSheet for 18.6501x
6.431x
Probability - The Science of Uncertainty and Data
an-introduction-to-statistical-learning-tibshirani
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
authorencoder
dharma-resources
gitter
pattern-recognition-and-machine-learning-bishop
Matlab code for machine learning algorithms in book PRML
python-data-science-and-machine-learning-bootcamp-jose-portilla
reneang17's Repositories
reneang17/an-introduction-to-statistical-learning-tibshirani
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
reneang17/pattern-recognition-and-machine-learning-bishop
Matlab code for machine learning algorithms in book PRML
reneang17/6.431x
Probability - The Science of Uncertainty and Data
reneang17/Automated-Cardiac-Segmentation-and-Disease-Diagnosis
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
reneang17/aws-gpu-docker-guide
Guide how to setup auto scaling AWS gpu infrastructure for ML
reneang17/data-science-ipython-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.
reneang17/DeepRL
Deep Reinforcement Learning Projects
reneang17/drlnd_project1_navigation
Udacity Deep Reinforcement Learning Project 1 - Banana Navigation
reneang17/esperanstica
reneang17/fintech-demo
reneang17/first-repo
beta
reneang17/hackkerrank-test-kit
reneang17/ISL_python
An Introduction to Statistical Learning with Applications in PYTHON
reneang17/kaggle_competitions
reneang17/learning
Becoming 1% better at data science everyday
reneang17/mitx-stats-notes
Notes for 18.6501x, Fundamentals of Statistics on edX
reneang17/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
reneang17/nvidia-docker-keras
Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs
reneang17/plagiarism-detection
reneang17/probability
Probabilistic reasoning and statistical analysis in TensorFlow
reneang17/project-cassandra
Udacity data engineering nanodegree project
reneang17/Python
All Algorithms implemented in Python
reneang17/pytudes
Python programs to practice or demonstrate skills.
reneang17/sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
reneang17/scripts
reneang17/starter-web
Simple starting point website project based upon Initializr
reneang17/Study-of-David-Mackay-s-book-
David Mackay's book review and problem solvings and own python codes, mathematica files
reneang17/toxic-comment-classification
reneang17/ttbar
reneang17/Whole-Heart-Segmentation
Whole Heart Segmentation