Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
- coursework
- fraud-detection
- introduction-to-machine-learning
- machine-learning
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Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
TranslatedLearning machine learning and quantitative analysis, in progress
Implementation of various topic models
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)
Compilado de recursos sobre Computação Quântica em português
Docker container for Kafka - Spark Streaming - Cassandra
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
Generate random crop fields for Ignition Gazebo
AuShadha (औषध): Means medicine in Sanskrit. This is a Electronic Medical Records (EMR) and Public Health Management for small clinics written in Django and Dojo
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.
Tools for drawing 2d and 3d interactive visualizations using Jupyter proxy widgets
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
Single Image Random Dot Stereogram for Tensorflow
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.