Vinod Sangare's repositories
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
machine-learning-from-scratch
This repository contains the implementation from scratch of some of the most used Machine Learning algorithms
100-Days-Of-ML-Code
100 Days of ML Coding
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
applied-ml
📚 Papers and blogs by organizations sharing their work on data science & machine learning in production.
awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
awesome-deep-learning-papers
The most cited deep learning papers
best-of-python
🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.
best-of-web-python
🏆 A ranked list of awesome python libraries for web development. Updated weekly.
CodingInterviews
This repository contains coding interviews that I have encountered in company interviews
Coinsta
A Python package for acquiring both historical and current data of cryptocurrencies
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Data-Science-Hacks
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
dsp
Metis Data Science Bootcamp - Official Prework Repository
From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
illustrated-machine-learning.github.io
Website containing illustrations about Machine Learning theory!
Interview-Process-Coding-Questions
Interview Coding Questions for Several Companies encapsulated into one Repository
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
ml-hub
🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.
project-based-learning
Curated list of project-based tutorials
Python-for-Data-Science
A blog for data analytics with Python
shapash
Shapash makes Machine Learning models transparent and understandable by everyone
stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
Vinod-Repo
Vinod-Repo