NikkitaNgl

NikkitaNgl

Geek Repo

Github PK Tool:Github PK Tool

NikkitaNgl's repositories

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

License:NOASSERTIONStargazers:0Issues:0Issues:0

MLQuestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

Stargazers:0Issues:0Issues:0

100-Days-Of-ML-Code

100 Days of ML Coding

License:MITStargazers:0Issues:0Issues:0

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

quant-finance-lectures

Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.

License:NOASSERTIONStargazers:0Issues:0Issues:0

machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

Stargazers:0Issues:0Issues:0

SwapsBook

Low Latency Interest Rate Markets – Theory, Pricing and Practice

Stargazers:0Issues:0Issues:0

iopy

Input-output data with Python

License:MITStargazers:0Issues:0Issues:0

cpython

The Python programming language

License:NOASSERTIONStargazers:0Issues:0Issues:0

neuralSDE-marketmodel

Python modules and jupyter notebook examples for the paper Arbitrage-free Neural-SDE Market Models.

License:MITStargazers:0Issues:0Issues:0

AutoViz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

License:Apache-2.0Stargazers:1Issues:0Issues:0

latexify_py

Generates LaTeX math description from Python functions.

License:Apache-2.0Stargazers:0Issues:0Issues:0

machine_learning

Examples of common machine learning algorithms implemented in python

Stargazers:0Issues:0Issues:0

learntocode

Individual session resources for each Learn to Code session

License:GPL-3.0Stargazers:0Issues:0Issues:0

prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

License:AGPL-3.0Stargazers:0Issues:0Issues:0

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

License:NOASSERTIONStargazers:0Issues:0Issues:0

LOB-feature-analysis

Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.

License:Apache-2.0Stargazers:0Issues:0Issues:0

Data-Scientist-Books

Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)

Stargazers:0Issues:0Issues:0

Bitcoin-Price-Prediction-LSTM

A Model to Predict any kind of price such as Crypto price or Stock price using LSTM network and python

Stargazers:0Issues:0Issues:0

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

Stargazers:0Issues:0Issues:0

StockMarkNetIndicator

Repository for the manuscript: "Network Geometry and Market Instability"

Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

StockSimulatorFlaskApp

This is a Python Flask web app that allows you to forecast short term stock price movements using traditional statistical methods (e.g. ARIMA, HoltWinters and also GBM, etc)

Stargazers:0Issues:0Issues:0

InputOutputAnalysis

Exercises from Introduction to Modern Input-Output Analysis university class.

License:MITStargazers:0Issues:0Issues:0

gpt-3

GPT-3: Language Models are Few-Shot Learners

Stargazers:0Issues:0Issues:0

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Stargazers:0Issues:0Issues:0

Lobster-Python-Demo-Code

Python demo code for LOBSTER limit order book data

Stargazers:0Issues:0Issues:0

machine-learning-resources

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

License:MITStargazers:0Issues:0Issues:0