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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

ag-grid

The best JavaScript Data Table for building Enterprise Applications. Supports React / Angular / Vue / Plain JavaScript.

applied_metrics

A PhD course in Applied Econometrics and Panel Data

awesome-local-global-descriptor

My personal note about local and global descriptor

backtrader

Python Backtesting library for trading strategies

bocd

Bayesian Online Changepoint Detection

building_energy_efficency_through_data_analysis

comprehensive_crm

Time Series Forecast with Prophet, VARMAX and LSTM

cqf

This repository stores several Jupyter Notebooks that were developed while studying for the Certificate in Quantitative Finance.

crime-

data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

databases_project_1

Construction of a database that will have all the search results from different search engines related to house plants. This is a group project for DSE 12400

datavisualization2

deep-scene-classification

Comparison of Scene Classification accuracy between Histogram, SIFT and Deep Learning based features

econometric-algorithms

Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.

fall2024-internships

Collection of Fall 2023 tech internships!

finance.ios

Source code for Finance.iOS SDK

firm-characteristics-and-chinese-stock-market

It is a project that conducts a study on predicting the cross section of Chinese stock market returns with a large panel of 75 individual firm characteristics and also uses “big-data” econometric methods.

github-slideshow

A robot powered training repository :robot:

learndatascience

A fork of the LearnDataScience tutorials for learning beginner data science in python with my own work included, I don't have much experience with python, so the code isn't the best. You can find the original here https://github.com/nborwankar/LearnDataScience

local-and-global-descriptor-papers

"The world as we have created it is a process of our thinking. It cannot be changed without changing our thinking."― Albert Einstein

mapillary_sls

Mapillary Street-level Sequences Dataset

merge-conflicts

ml-interview

Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.

ml-quant-interview-prep

Preparation material and resources for the ML (including DL) and Quant Research interviews

mlquant-interview-question-bank

Question bank for ML/Quant Interviews

mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

netvlad

NetVLAD: CNN architecture for weakly supervised place recognition

netvlad-1

netVLAD implementation in TensorFlow

netvlad-keras

This is a Keras implementation of the Netvlad network for visual place recognition.