Pinned Repositories
.tmux
Oh My Tmux! My pretty + versatile tmux configuration that just works (imho the best tmux configuration)
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
airflow-maintenance-dags
A series of DAGs/Workflows to help maintain the operation of Airflow
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
edav-final-project
Quantified Self : Analyzing Personal Garmin Data (2012-2017)
edav-project
A repository for the visualizations created for EDAV-Project
flask-pycon2014
Code for my PyCon 2014 tutorial "Flask By Example"
ml_datasets
statlearning-notebooks
Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
anujk3's Repositories
anujk3/ml_datasets
anujk3/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
anujk3/airflow-maintenance-dags
A series of DAGs/Workflows to help maintain the operation of Airflow
anujk3/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
anujk3/anujk3.github.io
anujk3/attila
Pelican version of ghost theme https://github.com/zutrinken/attila
anujk3/bayesian_ml
Working through Frequentist and Bayesian Statistics
anujk3/causalML
A course on causal machine learning.
anujk3/contextualbandits
Python implementations of contextual bandits algorithms
anujk3/cookiecutter-docker-science
Cookiecutter template for data scientists working in Docker containers
anujk3/deep_learning_a-z
Udemy course on Deep Learning A-Z
anujk3/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
anujk3/docker-cookiecutter-data-science
A fork of the cookiecutter-data-science leveraging Docker for local development.
anujk3/Docker_Tutorial
Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"
anujk3/dotfiles
My Dotfiles
anujk3/dotfiles-1
:wrench: .files, including ~/.macos — sensible hacker defaults for macOS
anujk3/elegant
Best theme for Pelican Static Blog Generator
anujk3/interpretable-ml-book
Book about interpretable machine learning
anujk3/mastering-pycharm-course
Course demos and handouts for Talk Python's Mastering PyCharm course
anujk3/ml-training-advanced
Materials for the "Advanced Scikit-learn" class in the afternoon
anujk3/ml-training-intro
Materials for the "Introduction to Machine Learning" class
anujk3/nbdev_pytorchlearn
Learning nbdev and pytorch together
anujk3/pandas-videos
Jupyter notebook and datasets from the pandas Q&A video series
anujk3/pelican_bootstrap3_myhack
My changes to the Pelican Bootstrap 3 theme
anujk3/pycharm_git
anujk3/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
anujk3/Stochastic_Depth_ECBM4040
Implementation for Deep Networks with Stochastic Depth
anujk3/twenty-pelican-html5up
This is an adaptation of the html5up template "Twenty" for the Python static site generator Pelican.
anujk3/udemy-numpy
Numpy Basic Tutorial
anujk3/udemy_pytorch
PyTorch Codes for learning Linear Regression, Logistic, FFN, CNN and RNNs