Pinned Repositories
applied-predictive-modeling-in-python
applied-statistics-course-project
A Linear regression course project
automatic_testing
dota-notebooks
electronic-sports-predictions
Master Thesis repo containing code for the electronic sports real time prediction
fes-in-python
A python reproduction of the examples and chapters of Feature Engineering and Selection
fpp-in-python
Forecasting Principles and Practice in Python
houses-ds-project
rpubs
nshahpazov's Repositories
nshahpazov/electronic-sports-predictions
Master Thesis repo containing code for the electronic sports real time prediction
nshahpazov/rpubs
nshahpazov/applied-predictive-modeling-in-python
nshahpazov/automatic_testing
nshahpazov/cash-inflow
Cash Inflow Time Series Analysis
nshahpazov/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
nshahpazov/deploying-machine-learning-models
Code for the online course "Deployment of Machine Learning Models"
nshahpazov/dvc-getting-started
A walkthrough through DVC
nshahpazov/farmer
nshahpazov/fastapi-ml-skeleton
FastAPI Skeleton App to serve machine learning models production-ready.
nshahpazov/fes-in-python
A python reproduction of the examples and chapters of Feature Engineering and Selection
nshahpazov/flows
nshahpazov/fpp-in-python
Forecasting Principles and Practice in Python
nshahpazov/houses
nshahpazov/houses-ds-project
nshahpazov/mle-course
MLE Course
nshahpazov/nshahpazov.github.io
A personal blog
nshahpazov/nyc-bikership-analysis
An analysis on the 2016 Feb data of Citibike ridership data
nshahpazov/pml
Probabilistic Machine Learning Notes
nshahpazov/pycaret
An open-source, low-code machine learning library in Python
nshahpazov/python-learning
nshahpazov/shapr
Explaining the output of machine learning models with more accurately estimated Shapley values
nshahpazov/sktime
A unified framework for machine learning with time series
nshahpazov/StarSpace
Learning embeddings for classification, retrieval and ranking.
nshahpazov/student-analysis
nshahpazov/typo_test
nshahpazov/wine
nshahpazov/nshahpazov
nshahpazov/spaceflight
spaceflight
nshahpazov/swe-essential-books
The canonical and partly opinionated list of books that every software engineer should read in their lifetime.