jayanthsv25's Stars
twbs/bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
cydal/tsExtract
Time series feature extraction for Supervised Learning Modeling
arundo/adtk
A Python toolkit for rule-based/unsupervised anomaly detection in time series
AakashKumarNain/AugMix_TF2
TF2.0 port for Augmix paper
Muhammad4hmed/GML
Auto Data Science - Python Library.
eugenesiow/practical-ml
Learn by experimenting on state-of-the-art machine learning models and algorithms with Jupyter Notebooks.
sbasu8023/networkDoSDetection
Network Denial of Service (DoS) Detection. General Assembly Capstone
ishritam/interview-question-data-science-
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
r0f1/datascience
Curated list of Python resources for data science.
JWarmenhoven/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
tiradan/Python
All Algorithms implemented in Python
TheAlgorithms/Python
All Algorithms implemented in Python
davidyakobovitch/data_science_resources
📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
practical-tutorials/project-based-learning
Curated list of project-based tutorials
donnemartin/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.
JifuZhao/FreeML
Data Science Resources (Mostly Free)
cdeweyx/DS-Career-Resources
Compilation of resources for aspiring data scientists
eriklindernoren/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.
jayinai/ml-interview
Preparing for machine learning interviews
desicochrane/data-science-masters
moved to https://github.com/desicochrane/datasci
mhagiwara/100-nlp-papers
100 Must-Read NLP Papers
alexattia/Data-Science-Projects
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
NirantK/awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
prachi-goel06/tech-interview-handbook
💯 Algorithms study materials, behavioral content and tips for rocking your coding interview
mundyreimer/Data-Science--Cheat-Sheet
Cheat Sheets
chhayac/Machine-Learning-Notebooks
15+ Machine/Deep Learning Projects in Ipython Notebooks
hse-aml/natural-language-processing
Resources for "Natural Language Processing" Coursera course.