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quanttradingresearch

Different quantitative trading models research

real-time-ml-project

A curated list of applied machine learning and data science notebooks and libraries across different industries.

recommenders-from-tf-official

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

ritchieng.github.io

My personal repository of notes served through Github pages at http://www.ritchieng.com/

sales-prediction-product-rekha

To predict the sales in four different product types while assessing the effects service and customer reviews have on sales.

santander-customer-transaction-prediction

2nd Place Solution 💰🥈

scikit-learn

scikit-learn: machine learning in Python

scipy-lecture-notes

Tutorial material on the scientific Python ecosystem

screeni-py

A Python-based stock screener to find stocks with potential breakout probability from NSE India.

skorch

A scikit-learn compatible neural network library that wraps PyTorch

spark-scala-examples

This project provides Apache Spark SQL, RDD, DataFrame and Dataset examples in Scala language

sql-data-analysis-and-visualization-projects

SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark.

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stock-dashboard

A stock dashboard for viewing US equities and stocktwits posts via streamlit

stock-market-analysis-using-python-pandas-numpy

- Performed stock market analysis of technology company’s stocks. - Used pandas to get stock information and to visualize different aspects of stock and performed risk analysis of the stock based on its previous performance history.

stock-prices-analytics-dashboard

A Stock Prices Analytics Dashboard, comprising of python codes for price predictions, technical indicators, and dashboard hosting

stock-sentiment-analysis

nlp for stock sentiment prediction

techbookhunter_free-coding-interview-books

technicalindicators

A javascript technical indicators written in typescript with pattern recognition right in the browser

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-2.0-computer-vision-cookbook

Tensorflow 2.0 Computer Vision Cookbook, published by Packt

tensorflow-advanced-techniques-specialization

Tensorflow Advanced Technique Specialization

text-mining-with-python

introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

tf-text

Making text a first-class citizen in TensorFlow.

the-book-of-trading-strategies

Source Codes for the Book of Trading Strategies

tickrs

Realtime ticker data in your terminal 📈

time-series-analysis-1

This notebook provides some skills to perform Time-Series-Analysis.

transformer

Implementation of "Attention Is All You Need" using PyTorch

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

trend-following-strategies

Official Repository