Data & machine learning
Aeon
Time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search.
by K-DenseExplore
EDOZIE’S CORNER OF THE INTERNET COLLECTION 001 / SKILLS
Explore & understand
Research, data, science, and better questions.
662↗
skills to explore
18 categories7 source collections
All interests 662Build with AI169Grow a business184Create & communicate45Explore & understand189Work smarter75
PUBLIC SKILLS, ONE SEARCHABLE SHELFIndexed 25 Sep 2026 ↗
Explore the library 32
1–24 of 32 skills
Data & machine learning
Analytics tracking
Set up, audit, and debug analytics tracking implementation — GA4, Google Tag Manager, event taxonomy, conversion tracking, and data quality.
by Alireza RezvaniExplore
Data & machine learning
Chief data officer advisor
Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution.
by Alireza RezvaniExplore
Data & machine learning
Dask
Distributed computing for larger-than-RAM pandas/NumPy workflows.
by K-DenseExplore
Data & machine learning
Data quality auditor
Audit datasets for completeness, consistency, accuracy, and validity. Profile data distributions, detect anomalies and outliers, surface structural issues, and produce an actionable remediation plan.
by Alireza RezvaniExplore
Data & machine learning
Deep learning book
Study companion and working knowledge base for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), read free at deeplearningbook.org.
by Alireza RezvaniExplore
Data & machine learning
Exploratory data analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds.
by K-DenseExplore
Data & machine learning
Geopandas
Guidance and local audit tools for Python workflows that directly use GeoPandas GeoSeries, GeoDataFrame, spatial operations, or vector-data I/O.
by K-DenseExplore
Data & machine learning
Imaging data commons
Query and download public cancer imaging data from NCI Imaging Data Commons. Invoke for any question about IDC collections, cancer imaging datasets, DICOM data access, radiology (CT, MR, PET) or pathology AI training sets, metadata queries, visualization, or license checks — even when the user doesn't explicitly mention "IDC".
by K-DenseExplore
Data & machine learning
Linkedin analytics
Someone wants to understand their own LinkedIn numbers — which posts worked, why reach dropped, whether a pattern is real, or how to test a hypothesis.
by Alireza RezvaniExplore
Data & machine learning
Matplotlib
Low-level plotting library for full customization.
by K-DenseExplore
Data & machine learning
Networkx
Create, analyze, and visualize complex networks and graphs in Python with NetworkX.
by K-DenseExplore
Data & machine learning
Polars
High-performance DataFrame library for Python ETL, analytics, and pandas migration. Use for expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.
by K-DenseExplore
Data & machine learning
Polars bio
High-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames.
by K-DenseExplore
Data & machine learning
Product analytics
Defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.
by Alireza RezvaniExplore
Data & machine learning
Pytorch lightning
Deep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
by K-DenseExplore
Data & machine learning
Scientific visualization
Create and audit truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly.
by K-DenseExplore
Data & machine learning
Scikit bio
Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.
by K-DenseExplore
Data & machine learning
Scikit learn
Machine learning in Python with scikit-learn.
by K-DenseExplore
Data & machine learning
Scikit survival
Build, evaluate, and audit right-censored or competing-risk survival workflows with scikit-survival, including leakage-safe preprocessing, model selection, probability prediction, and censoring-aware metrics.
by K-DenseExplore
Data & machine learning
Scvi tools
Deep generative models for single-cell omics.
by K-DenseExplore
Data & machine learning
Senior computer vision
Computer vision engineering skill for object detection, image segmentation, and visual AI systems.
by Alireza RezvaniExplore
Data & machine learning
Senior data engineer
Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure.
by Alireza RezvaniExplore
Data & machine learning
Senior data scientist
World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics.
by Alireza RezvaniExplore
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