Skip to content
GitHub Explorer

khavar-analytics

View on GitHub ↗

active 2026-02-12 → 2026-07-02 (UTC) · 62 repositories

Complete coverage27,152 / 27,154 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-19 (UTC)
Events
134
Pushes
105
Pull requests
12
Issues
0
Reviews
0
Repositories
62

Activity over time

Daily event counts in the loaded window

Line chart, 141 days from 2026-02-12 to 2026-07-02. Pushes: 105 total, peak 24 in a day. Pull requests: 12 total, peak 2 in a day. Issues: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues

Pull requests and issues are under-captured in the later part of this window. GH Archive progressively stopped recording non-push events during 2026 — −95% or worse by the end of the window. A decline in those two series reflects the archive rather than this account. Pushes stay reliable throughout, so read them as the real signal. Data health has the measurements.

Repositories worked on

Ranked by contributions — pushes, PRs, issues, reviews and comments, so stars and forks do not inflate the list · top 50

RepositoryContributionsPushesPRsIssuesCommentsLast seen
khavar-analytics/m7-07-assessment18180002026-06-21
khavar-analytics/m6-04-assessment11110002026-06-02
khavar-analytics/m6-09-assessment880002026-06-04
esliehmedova/agriculture-cotton-yield-prediction770002026-05-02
khavar-analytics/m5-project-weather-pipeline550002026-05-02
khavar-analytics/m7-06-lab-cicd-monitoring-ml550002026-06-21
khavar-analytics/m9-08-assessment440002026-06-30
khavar-analytics/m7-04-lab-fastapi-ml-serving440002026-06-09
khavar-analytics/m7-05-lab-model-serving-inference-at-scale330002026-06-16
khavar-analytics/m9-02-lab-rag-system-architecture330002026-06-22
khavar-analytics/m2-04-lab-etl-workflows-dataflow330002026-03-09
khavar-analytics/Lab-4211002026-02-24
Manheim666/Bee-A-Hero220002026-07-02
khavar-analytics/m9-07-lab-multi-agent-orchestration-safety220002026-06-30
khavar-analytics/m6-08-lab-model-conversions-inferencing220002026-05-31
khavar-analytics/m4-10-assessment220002026-05-30
Data-AI-IDDA/m3-12-lab-metric-uncertainty-model-comparison101002026-04-12
Data-AI-IDDA/m2-07-lab-real-world-data101002026-03-12
khavar-analytics/Lab-1110002026-02-18
esliehmedova/m5-project-weather-pipeline110002026-04-27
Data-AI-IDDA/m3-01-lab-eda-toolkit-summary-pitfalls101002026-03-16
khavar-analytics/m8-05-assessment110002026-06-21
khavar-analytics/m1-08-lab-viz-time-series-advanced-modeling110002026-02-26
Data-AI-IDDA/m6-07-lab-transfer-learning-fine-tuning101002026-05-31
khavar-analytics/m2-03-lab-data-formats-execution-engines110002026-03-05
khavar-analytics/m2-08-lab-practical-data-pipelines110002026-03-15
khavar-analytics/m4-06-lab-unsupervised-learning110002026-05-11
khavar-analytics/m6-07-lab-transfer-learning-fine-tuning110002026-05-31
Data-AI-IDDA/m3-05-lab-bootstrap-cis-practice101002026-03-31
khavar-analytics/m3-07-lab-chi-square-power-planning110002026-04-08
khavar-analytics/m3-02-lab-simulation-first-probability110002026-03-18
khavar-analytics/m6-05-lab-sequence-models-transformers110002026-05-31
khavar-analytics/m2-01-lab-data-sources-representation110002026-03-03
khavar-analytics/m6-06-lab-deep-reinforcement-learning110002026-05-31
khavar-analytics/m3-08-assessment110002026-04-05
Data-AI-IDDA/m4-07-lab-reinforcement-learning101002026-05-06
Data-AI-IDDA/m4-06-lab-unsupervised-learning101002026-05-11
khavar-analytics/m3-03-lab-bias-clinic-sampling-variability110002026-03-30
khavar-analytics/m2-07-lab-real-world-data110002026-03-12
Data-AI-IDDA/m4-04-lab-ensemble-methods101002026-04-19
khavar-analytics/git-practice110002026-02-12
khavar-analytics/m7-03-lab-containerization-docker-ml110002026-06-08
khavar-analytics/m4-08-lab-model-training-evaluation110002026-05-11
khavar-analytics/m4-09-lab-model-deployment110002026-05-11
khavar-analytics/m9-04-lab-tool-use-function-calling110002026-06-30
Data-AI-IDDA/m4-03-lab-classification101002026-04-19
Data-AI-IDDA/m3-03-lab-bias-clinic-sampling-variability101002026-03-30
khavar-analytics/m1-09-assessment110002026-02-28
khavar-analytics/m4-03-lab-classification110002026-04-19
khavar-analytics/m7-02-lab-mlops-lifecycle-reproducibility110002026-05-31

Works with

People who contribute to the same repositories, ranked by how many they share · automation excluded, or every account would appear to work with everyone

ContributorShared reposRepositories in common
Maqa33334
Data-AI-IDDA/m4-04-lab-ensemble-methodsData-AI-IDDA/m4-03-lab-classificationData-AI-IDDA/m3-05-lab-bootstrap-cis-practiceData-AI-IDDA/m6-07-lab-transfer-learning-fine-tuning
apoplavsky4
Data-AI-IDDA/m2-07-lab-real-world-dataData-AI-IDDA/m6-01-lab-neural-networks-fundamentalsData-AI-IDDA/m6-07-lab-transfer-learning-fine-tuningData-AI-IDDA/m3-01-lab-eda-toolkit-summary-pitfalls
nigarrustamova4
Data-AI-IDDA/m2-07-lab-real-world-dataData-AI-IDDA/m4-07-lab-reinforcement-learningData-AI-IDDA/m6-07-lab-transfer-learning-fine-tuningData-AI-IDDA/m3-01-lab-eda-toolkit-summary-pitfalls
esliehmedova3
esliehmedova/agriculture-cotton-yield-predictionData-AI-IDDA/m3-12-lab-metric-uncertainty-model-comparisonesliehmedova/m5-project-weather-pipeline
royanasirova3
Data-AI-IDDA/m6-01-lab-neural-networks-fundamentalsData-AI-IDDA/m4-04-lab-ensemble-methodsData-AI-IDDA/m4-03-lab-classification
ElvinNasirov2
Data-AI-IDDA/m2-07-lab-real-world-dataData-AI-IDDA/m3-05-lab-bootstrap-cis-practice
Jabrail-Atakishiyev2
Data-AI-IDDA/m3-12-lab-metric-uncertainty-model-comparisonData-AI-IDDA/m3-01-lab-eda-toolkit-summary-pitfalls
NarminDirayeva2
esliehmedova/agriculture-cotton-yield-predictionesliehmedova/m5-project-weather-pipeline
adilhasanov-glitch2
Data-AI-IDDA/m3-05-lab-bootstrap-cis-practiceData-AI-IDDA/m3-01-lab-eda-toolkit-summary-pitfalls
nazrinmammadzadeh2
Data-AI-IDDA/m6-01-lab-neural-networks-fundamentalsData-AI-IDDA/m3-01-lab-eda-toolkit-summary-pitfalls
seljankhasiyeva2
Data-AI-IDDA/m3-12-lab-metric-uncertainty-model-comparisonData-AI-IDDA/m3-01-lab-eda-toolkit-summary-pitfalls
AysuAnar1
Data-AI-IDDA/m4-03-lab-classification
AyxanMuxtar1
Data-AI-IDDA/m3-05-lab-bootstrap-cis-practice
Manheim6661
Manheim666/Bee-A-Hero
Revan-shift1
Data-AI-IDDA/m3-05-lab-bootstrap-cis-practice
SamaAmrullayeva1
Data-AI-IDDA/m4-07-lab-reinforcement-learning
ShamilAliyew1
Data-AI-IDDA/m3-03-lab-bias-clinic-sampling-variability
ZarifaMusayeva1
Data-AI-IDDA/m3-12-lab-metric-uncertainty-model-comparison
alexiiiiiiiii1
Data-AI-IDDA/m3-01-lab-eda-toolkit-summary-pitfalls
eliyevaulviye1
Data-AI-IDDA/m3-12-lab-metric-uncertainty-model-comparison
ilahes1
Data-AI-IDDA/m6-07-lab-transfer-learning-fine-tuning
orxannuriyev1
Data-AI-IDDA/m4-04-lab-ensemble-methods
raulibrahimov1
Manheim666/Bee-A-Hero
wiajane1
Data-AI-IDDA/m2-07-lab-real-world-data

Counts cover only the window loaded into ClickHouse and count events, not this account's lifetime totals on GitHub.