Bhargava Kumar's repositories
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
simglucose
A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose
udacity-nanodegrees
:mortar_board: List of Udacity Nanodegree programs with links to the free courses in their curricula
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
algorithms
Minimal examples of data structures and algorithms in Python
attention_keras
Keras Layer implementation of Attention
awesome-financial-nlp
Researches for Natural Language Processing for Financial Domain
awesome-rl
Reinforcement learning resources curated
coursera-natural-language-processing-specialization
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
CS229_ML
🍟 Stanford CS229: Machine Learning
dash-sample-apps
Apps hosted in the Dash Gallery
EliteQuant
A list of online resources for quantitative modeling, trading, portfolio management
EPIJudge
EPI Judge - Preview Release
hcup_python
HCUP (Healthcare Cost and Utilization Project ) + Python
Hedge-Fund-replication
This project tries to replicate hedge funds returns.
intro-numerical-methods
Jupyter notebooks and other materials developed for the Columbia course APMA 4300
LeetCode
:pencil: Python / C++ 11 Solutions of All LeetCode Questions
libinput-gestures
Actions gestures on your touchpad using libinput
Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Natural-Language-Processing-Specialization
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
ner-annotator
Named Entity Recognition (NER) Annotation tool for SpaCy. Generates Traning Data as a JSON which can be readily used.
NYUTandonBridge2018
:computer: NYU Tandon School of Engineering Files :computer:
sentence-transformers
Sentence Embeddings with BERT & XLNet
stanford-CS229
Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng
task-adaptive-pretraining-on-financial-documents
Task Adaptive Pre-Training of Language Models for Downstream Tasks like NER etc
yield_curve_forecasting_POC
A project to forecast the impact of Federal Funds Rate change on yield curves and visualize them on Dash