VHKA1729's Stars
shervinea/mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
visenger/awesome-mlops
A curated list of references for MLOps
retentioneering/retentioneering-tools
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.
ashishpatel26/Real-time-ML-Project
A curated list of applied machine learning and data science notebooks and libraries across different industries.
AakashKumarNain/annotated_research_papers
This repo contains annotated research papers that I found really good and useful
rsamit26/InterviewBit
InterviewBit Solution in python 3
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
guipsamora/pandas_exercises
Practice your pandas skills!
mhagiwara/100-nlp-papers
100 Must-Read NLP Papers
1austrartsua1/projSplitFit
Projective Splitting for data fitting problems
SummerSchoolMachineLearning/SMILES2020
Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of August
dslp/dslp
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
recommenders-team/recommenders
Best Practices on Recommendation Systems
kojino/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
anujdutt9/Feature-Selection-for-Machine-Learning
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
alievk/avatarify-python
Avatars for Zoom, Skype and other video-conferencing apps.
Azure/DeepLearningForTimeSeriesForecasting
A tutorial demonstrating how to implement deep learning models for time series forecasting
microsoft/AI
Microsoft AI
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
abhishekkrthakur/autonlp
AutoNLP: AutoML for NLP (WIP)
ranaroussi/multitasking
Non-blocking Python methods using decorators
awesome-panel/awesome-panel
Awesome Panel supports Panel and its users. We want to show how awesome the framework is and help push it forward. ❤️🐍📈
jayinai/kaggle-regression
A compiled list of kaggle competitions and their winning solutions for regression problems.