Pinned Repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
causalimpact
Python Causal Impact port of Google's Algorithm.
Coursera-Machine-Learning-Stanford
This repo contains the solutions of quizes and assignments of Coursera's Andrew Ng Stanford Machine Learning course
dfw_pandas_talk
Pandas Talk for the DFW Pythoneers
Gaussian-Mixture-Model
machine-learning
Content for Udacity's Machine Learning curriculum
NLP-Toolkit
This repo contains the my own created NLP toolkit including part of speech tagger, named entity extractor
python-training
3 day training used for ramping up people to Python, pandas and other libraries
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
muggle14's Repositories
muggle14/awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
muggle14/causalimpact
Python Causal Impact port of Google's Algorithm.
muggle14/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
muggle14/AutoGPT
An experimental open-source attempt to make GPT-4 fully autonomous.
muggle14/azure
azure-related-[rpkects
muggle14/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
muggle14/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
muggle14/comp-phys
Computational Physics
muggle14/Coursera-Deep-Learning
My notes / works on deep learning from Coursera
muggle14/data_science_blogs
A repository to keep track of all the code that I end up writing for my blog posts.
muggle14/DataScienceCourse
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
muggle14/deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
muggle14/deeplearning-notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
muggle14/deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
muggle14/ExcelNumericalDemos
A set of numerical demonstrations in Excel to assist with teaching / learning concepts in statistics and geostatistics.
muggle14/kNNTutorial
Python notebooks for kNN Tutorial paper
muggle14/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
muggle14/MarketMatching
muggle14/modern-ML-engineer
Introduction to Machine Learning - Ilia State University
muggle14/MOM_API
Statistical/Machine learning project with ENSAE and CREST under the supervision of Guillaume Lecué
muggle14/nlp
:memo: This repository recorded my NLP journey.
muggle14/NLP-Projects
word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
muggle14/Notebooks
Jupyter notebooks authored by Richard Evans
muggle14/nowcast
muggle14/Nowcasting-Python
Python Nowcasting
muggle14/probabilisticprogrammingprimer
muggle14/python-mle
A Python package for performing Maximum Likelihood Estimates
muggle14/PythonNumericalDemos
A collection of Python demos for geostatistical methods.
muggle14/pytorch-Deep-Learning
Deep Learning (with PyTorch)
muggle14/sweetviz
Visualize and compare datasets, target values and associations, with one line of code.