Pinned Repositories
analyzingalpha
CAT-BONDS-PAPER
Course-Uncertanty-Machine-Learning-2021
DeepLearning
Graph-Network-Science
Application of graph network theories
Implementing-a-Gibb-Sampler-for-CIR-process
This script implements the CIR (Cox, Ingersoll & Ross, 1985) stochastic interest rate model
Machine-Learning-Explanability-
Explaining results derived from blackbox ML algorithms
Machine-Learning-for-Algorithmic-Trading
Project code and report on implementing ML algorithms from scratch and their using in stock trading
Reinforcement-Learning-and-Decision-Making
Reinforcement Learning
Supervised-Learning
Supervised learning
Kwabena16108's Repositories
Kwabena16108/Implementing-a-Gibb-Sampler-for-CIR-process
This script implements the CIR (Cox, Ingersoll & Ross, 1985) stochastic interest rate model
Kwabena16108/analyzingalpha
Kwabena16108/CAT-BONDS-PAPER
Kwabena16108/Course-Uncertanty-Machine-Learning-2021
Kwabena16108/DeepLearning
Kwabena16108/Graph-Network-Science
Application of graph network theories
Kwabena16108/Machine-Learning-Explanability-
Explaining results derived from blackbox ML algorithms
Kwabena16108/Machine-Learning-for-Algorithmic-Trading
Project code and report on implementing ML algorithms from scratch and their using in stock trading
Kwabena16108/Reinforcement-Learning-and-Decision-Making
Reinforcement Learning
Kwabena16108/Supervised-Learning
Supervised learning
Kwabena16108/Unsupervised-Learning-Dimensionality-Reduction
Dimensionality reduction algorithms
Kwabena16108/Deep-Learning
Projects and assignments on deep learning
Kwabena16108/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Kwabena16108/kstar-NN
Implementation of the k*-Nearest Neighbors method in Python
Kwabena16108/Machine-Learning-for-Time-Series-with-Python
Machine Learning for Time-Series with Python.Published by Packt
Kwabena16108/Markov-Decision-Processes-MDPs-
Kwabena16108/NATGAS
Kwabena16108/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Kwabena16108/Parellel-Computing-for-Bayesian-Simulation
This scripts implements an embarrassingly parallel problem via Parallel Computing in Python
Kwabena16108/Stochastic-Optimization
Kwabena16108/ultimate-product-ds
The Ultimate Product Data Science & Analytics Resource