sidsriv/ML-foundation

Introduction-to-Data-Science-in-python

Algorithms-for-DNA-sequencing

Simulation-and-modelling-of-natural-processes

Applied-text-mining-in-Python

Introduction-to-Natural-Language-Processing-UMich-Coursera

Bioinformatics-1-Finding-Hidden-Messages-in-DNA

Convolutional-Neural-Networks

Neural-networks-for-machine-learning

Applied-ML-in-Python

Introduction-to-deep-learning

Unix-workbench-assignment

Bayesian-methods-for-machine-learning

Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

Ml-clustering

Bioinformatics-6-Finding-mutations-in-DNA-and-Proteins

Genomic_data_science_capstone

Neural-Networks-and-Deep-Learning

ML-regression

Ml-classification

Bioinformatics-2-Genome-Sequencing

Bioinformatics-4-Molecular-Evolution

Bioinformatics-5-Genomic-Data-Science-and-Clustering

Data-Science-capstone

Resume

Data-Mining-Capstone-Project

Udacity-Deep_Learning

UMich_python_specialization_capstone

Kaggle-Notebooks

Using-databases-with-python

Data-science-at-scale-specialization

Applied-data-science-capstone

Coursera-test

Bioinformatics-3-Comparing-Genes-Proteins-and-Genomes