Workshops-2022-23

Workshop materials for MLDA Academic, year 2022-2023

Please create your folder, name it in this format: Sx-WKx-Workshop_Topic

For example: S1-Wk1-Introduction_To_Python (sem, week, topic)

Please add your slides, code, and other related materials into your folder.

Name		Name	Last commit message	Last commit date
Latest commit History 64 Commits
S1-RecessW-Blockchain_Basis_ML		S1-RecessW-Blockchain_Basis_ML
S1-RecessW-Intro_To_Computer_Vision		S1-RecessW-Intro_To_Computer_Vision
S1-Wk10-Intro_To_Clustering_Analysis		S1-Wk10-Intro_To_Clustering_Analysis
S1-Wk5-AWS_Essentials		S1-Wk5-AWS_Essentials
S1-Wk5-Intro_Data_Science_Python		S1-Wk5-Intro_Data_Science_Python
S1-Wk5-Intro_Regression		S1-Wk5-Intro_Regression
S1-Wk6-AWS_Sagemaker		S1-Wk6-AWS_Sagemaker
S1-Wk6-GCN		S1-Wk6-GCN
S1-Wk6-TSF		S1-Wk6-TSF
S1-Wk8-Federated_Learning		S1-Wk8-Federated_Learning
S1-Wk8-Intro_To_Computer_Vision		S1-Wk8-Intro_To_Computer_Vision
S1-Wk9-Intro to Machine Learning		S1-Wk9-Intro to Machine Learning
S1-Wk9-ML_and_Web		S1-Wk9-ML_and_Web
S1-Wk9-TFMOT		S1-Wk9-TFMOT
.DS_Store		.DS_Store
README.md		README.md

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