Name: Hoda Fakharzadehjahromy
Type: User
Company: Linköping
Bio: Data Scientist, passionate about using machine learning to solve real-world problems. Skilled in Python, PyTorch, SQL, and data visualization.
Location: Linköping
Blog: https://github.com/hodfa840
Hoda Fakharzadehjahromy's Projects
Inverse CDF method
A resource repository for 3D machine learning
Set of solutions for the Advanced R programming book
Repository for Lab 4 of Advanced programming in R
the lab reports for Liu Bayesian Learning
Bayesian Statistics: Techniques and Models In Progress
My code for Big Data Analytics(732A54 ) at Linköping University
A minimal book example using bookdown
A DCGAN built on the CIFAR10 dataset using pytorch
My assignment for Deep Learning Course at Linköping University
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Summary notes and examples for every chapter in the popular textbook "The Elements of Statistical Learning" .
Computer code for implementing the ensemble MCMC method of https://arxiv.org/abs/1906.02014.
this repository accompanies the book "Grokking Deep Learning"
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Config files for my GitHub profile.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Assignments for DD2447. Monte carlo markov chains. Implementations of Gibbs sampling, Metropolis-Hastings as well as sequential monte carlo methods (particle filter)