Various resources on advanced analytics and beyond

Introduction to Network Analysis

Tutorial introduction to economic network analysis and graph clustering in python with networkx

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

Code and data files for "The Beginner's Guide to Data Science" by Robert Ball and Brian Rague

Social Network Analysis of Zhihu with Python

Python for Portfolio Optimization: The Ascent! First working lessons to ascend the hilly terrain of Portfolio Optimization in seven strides (Lessons), beginning with the fundamentals (Lesson 1) and…

機械学習関連の論文Survey用レポジトリ

How to Calculate Daily Return, Log Return & Cumulative Return in Python

A project that exemplifies a well-considered architectural approach that combines the advantages of both monolithic and microservices paradigms, fostering modularity, maintainability, and scalability.

Template to get started with a simple .NET 5 API including CQRS including event based models as well

Sample using micro services in .NET Core 3.1 Focusing on clean code

Build your neural network easy and fast, 莫烦Python中文教学

Build your neural network easy and fast

A Python-based machine learning study leveraging the Bloomberg API to empirically test various forms of the Efficient Market Hypothesis using technical indicators across multiple asset classes.

Machine Learning model and academic paper exploring the validity of the Efficient Market Hypothesis

Modernizing existing .NET Framework, hypothetically legacy backoffice eShop web apps (traditional ASP.NET WebForms and MVC) with Windows Containers and Azure Cloud

iSeg-WNet: Volumetric Segmentation of Infant Brain MRI Images

Python for Finance module for Imperial MSc in Mathematics and Finance

Markowitz portfolio optimization on synthetic and real stocks

This course covers the latest Spark Technologies, like Spark SQL, Spark Streaming, and advanced models like Gradient Boosted Trees.

Toàn bộ hệ thống công nghệ tài chính

The Python project written on Jupyter includes technical analysis using various indicators, developing trading strategies based on the indicators, visualizing the outcomes, and testing the strategi…

This paper explores the importance of data analysis and visualization in data-driven decision making, and how Power BI can aid in this process. Using descriptive analysis methodology, it presents a…

My personal work on the numerical projects of a book called "A First Course in Stochastic Calculus".

Multivariate Regression Analysis and Modelling

A well constructed summary of the findings from a course on financial investment fundamentals and data analytics that can be used to optimize investment strategies and make better decisions.

VietNam Data Stock Market Price

I get many questions about how to analyze the Stock Market with Python. I am creating a new playlist of videos that will completely cover Python for Finance.