tgadvisory

tgadvisory's Stars

• LastAncientOne/Data-Science

  Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.

  Language:Jupyter Notebook2520

• LastAncientOne/Mathematics_for_Machine_Learning

  Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.

  Language:Jupyter Notebook3927

• LastAncientOne/SimpleStockAnalysisPython

  Teaches step-by-step to analysis stock data in python.

  Language:Jupyter Notebook351115

• LastAncientOne/Deep_Learning_Machine_Learning_Stock

  Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

  Language:Jupyter Notebook1.3k317

• EmielStoelinga/CCMLWI

  Predicting the stock market with sentiment analysis and LSTM techniques

  Language:Jupyter Notebook8134

• PPPW/get-fundamental-data-from-Yahoo-finance

  extract and analyze fundamental data from Yahoo finance's key statistics webpages

  Language:R42

• VincentTatan/ValueInvesting

  For value investing dashboard

  Language:Python168115

• wilsonfreitas/awesome-quant

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

  Language:Python18.4k2.6k

• giuseppebonaccorso/Fundamentals-of-Machine-Learning-with-scikit-learn

  Fundamentals of Machine Learning with Scikit-Learn

  Language:Python53

• giuseppebonaccorso/Machine-Learning-Algorithms-Second-Edition

  Machine Learning Algorithms Second Edition, published by Packt

  Language:Python45

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook13.5k4.3k

• matheusfacure/python-causality-handbook

  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

  Language:Jupyter Notebook2.8k482

• Gustrigos/Eigen-Portfolio

  Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks to construct an optimized diversified intelligent portfolio.

  Language:Jupyter Notebook6820

• PacktPublishing/Learn-Algorithmic-Trading

  Learn Algorithmic Trading, Published by Packt

  Language:Python837305