t-marina-v Goto Github PK

learn_prompting

littleinferencebook

A book for the coursera statistical inference class

machine-learning-for-economic-analysis-

Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH

mastering-python-for-finance-source-codes

Accompanying source codes for my book 'Mastering Python for Finance'.

matstat_coursera

Курс по матстату для онлайна :)

ml-course-hse

Машинное обучение на ФКН ВШЭ

ml-courses-7bits-stepik

ml-intro

Введение в машинное обучение

mlcourse.ai

Open Machine Learning Course

monte_carlo

numpy_exercises

Numpy exercises.

nyc-taxi-trip-duration

okama

Investment portfolio and stocks analyzing tools for Python with free historical data

otree

Python framework for multiplayer decision games, behavioral experiments, and surveys

pandas-1

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

performanceanalytics

portfoliooptimisation

portfoliooptimization

Оптимизация портфеля

portfoptim

Оптимизация инвестиционных портфелей

powerbi-desktop-samples

Power BI Desktop sample files for the monthly release. Here you can find the PBIX files used in the monthly release videos.

practice_assignment

Practice assignment for the R programming class on Coursera

practicum_en_data_example_repo

predicting-disease-spread

Using Meteorological Data to Predict Dengue Spread

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

project-power-bi-templates

Expand Project with a Power BI Template

pydata-book

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

pydea

Data envelopment analysis module for python.

python-for-data-science-

Осторожное введение в исследование данных / A Gentle Intro to Data Science

python-introduction

A set of notebooks the provide an introduction to Python.