Statistics and Machine Learning in R
If you want to do statistics and machine learning in R, this playlist is for you, and you only. No one else is allowed to watch it.
Python Data Science Project
Learn Python for data science through hands-on projects covering machine learning, web scraping, exploratory data analysis, and computational drug discovery. Gain practical skills using popular libraries and tools.
Clustering and Markers Identification for ScRNA-Seq - Seurat Package Tutorial
Learn to analyze single-cell RNA-seq data using Seurat package, covering data import, QC, normalization, clustering, and marker identification. Gain insights into cell interactions and create visualizations.
rRNA Sequencing Analysis and Visualization
Explore microbiome analysis techniques using various tools. Learn OTU clustering, diversity analysis, PCA, AMOVA, tree plotting, and visualization with Galaxy, Krona, and MEGAN6 for comprehensive 16S rRNA sequencing insights.
Dimensionality Reduction for Matrix- and Tensor-Coded Data
Explore matrix and tensor factorizations for data compression, including PCA, NMF, and CP tensor decomposition. Learn theoretical foundations and practical applications in scientific domains.
Dimensionality Reduction II
Explore advanced dimensionality reduction techniques, including PCA and negentropy, with practical applications in brain and cognitive sciences. Includes exercises and research discussions.
Randomization - Speeding Up Huge Problems
Explore data reduction techniques for analyzing large datasets efficiently, focusing on randomized sub-sampling and local-rank approximations in PCA and sparse-PCA contexts.
Machine Learning Toolbox for Cybersecurity Risk Management
Explore machine learning techniques for cybersecurity risk assessment, including topic modeling, word embedding, and PCA. Learn to identify unknown risks and profile incidents effectively.
Residual Based Sampling for Online Low Rank Approximation
Explore online low rank approximation through residual-based sampling, covering PCA, column subset selection, and online algorithms. Learn techniques for efficient data analysis and clustering.
Fast Analytics On Big Data
Explore fast analytics on big data using an open-source platform for in-memory distributed data processing, enabling efficient predictive modeling and analytics on large-scale datasets.
Prometheus Certified Associate (PCA) Certification Overview and Demo
Explore Prometheus certification, prepare with resources, and learn to instrument applications for data pushing to Prometheus via pushgateway. Includes demo and comprehensive course overview.