je-suis-tm / machine-learningLinks
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…
☆254Updated 2 years ago
Alternatives and similar repositories for machine-learning
Users that are interested in machine-learning are comparing it to the libraries listed below
Sorting:
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆67Updated 4 years ago
- Project that uses deep learning to forecast stock returns and defines the optimal allocation for a maximum☆22Updated 4 years ago
- Jupyter Notebooks Collection for Learning Time Series Models☆73Updated 5 years ago
- ☆73Updated 3 years ago
- Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebo…☆151Updated 2 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆57Updated 6 years ago
- Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics an…☆95Updated 4 years ago
- Hidden Markov Model (HMM) based stock forecasting☆103Updated 7 years ago
- Material for QuantUniversity talk on Sythetic Data Generation for Finance.☆116Updated 4 years ago
- Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.☆76Updated 3 years ago
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆273Updated 2 years ago
- Option pricing with various models (Black-Scholes, Heston, Merton jump diffusion, etc) and methods (Monte Carlo, finite difference, Fouri…☆82Updated 3 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Networks to predict stock prices.☆85Updated 4 years ago
- Python for Finance module for Imperial MSc in Mathematics and Finance☆104Updated 9 months ago
- Entropy Pooling views and stress-testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.☆265Updated last week
- This course in applied data science covers the theoretical foundations of advanced quantitative approaches in machine learning, econometr…☆42Updated 4 months ago
- Signal processing examples in python☆151Updated 5 years ago
- Advanced Portfolio Construction and Analysis with Python - Coursera☆21Updated 4 years ago
- GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hed…☆272Updated 3 years ago
- Jupyter notebooks and data files of the new EDHEC specialization on quantitative finance (completed Aug 2022)☆41Updated 3 years ago
- Deep Neural Networks for Options Pricing (Python)☆48Updated 6 years ago
- Notes and examples about Portfolio Construction and Analysis with Python (Jupyter notebooks)☆197Updated last year
- ☆231Updated last year
- 📒 A collection of notes exploring Quantitative Finance concepts with Python☆81Updated last month
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆133Updated 2 years ago
- CNNpred: CNN-based stock market prediction using a diverse set of variables☆71Updated 4 years ago
- Repo for code examples in Quantitative Finance with Python by Chris Kelliher☆143Updated last year
- Using Dask, a Python framework, I handle 900 million rows of S&P E-mini futures trade tick data directly on a local machine. Through expl…☆40Updated last year
- Algo Trading Research & Documentation☆21Updated last month
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆95Updated last year