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Cheberi-ya

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active 2024-09-03 → 2026-08-12 (UTC) · 62 repositories

Complete coverage26,392 / 26,392 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-18 (UTC)
Events
88
Pushes
28
Pull requests
0
Issues
0
Reviews
0
Repositories
62

Activity over time

Daily event counts in the loaded window

Line chart, 709 days from 2024-09-03 to 2026-08-12. Pushes: 28 total, peak 3 in a day. Pull requests: 0 total, peak 0 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
Cheberi-ya/Low-Risk-Aircraft-Proposal550002024-09-27
Cheberi-ya/DECODING-BRAND-SENTIMENTS-A-MACHINE-LEARNING-APPROACH330002025-01-23
Cheberi-ya/Vaccination-Prediction-project330002024-12-09
Cheberi-ya/dsc-pandas-eda-lab110002024-09-30
Cheberi-ya/dsc-classes-and-instances-lab110002024-11-18
Cheberi-ya/dsc-one-to-many-and-many-to-many-joins-lab110002024-11-11
Cheberi-ya/dsc-instance-methods-lab110002024-11-18
Cheberi-ya/dsc-multiple-regression-cumulative-lab110002024-11-14
Cheberi-ya/dsc-pandas-data-cleaning-lab110002024-09-30
Cheberi-ya/dsc-xgboost-lab110002025-01-13
Cheberi-ya/dsc-gradient-boosting-lab110002025-01-13
Cheberi-ya/dsc-ml-fundamentals-lab110002024-11-21
Cheberi-ya/dsc-sklearn-preprocessing-lab110002024-11-18
Cheberi-ya/dsc-two-sample-t-tests-lab110002024-11-11
Cheberi-ya/dsc-linear-transformations-lab110002024-11-14
Cheberi-ya/dsc-evaluating-logistic-regression-models-lab110002024-11-26
Cheberi-ya/dsc-pipelines-lab-v2-1110002024-12-19
Cheberi-ya/dsc-multiple-linear-regression-statsmodels-lab-v2-5110002024-11-13
Cheberi-ya/dsc-running-jupyter-locally-lab110002024-09-03
Cheberi-ya/dsc-nonparametric-models-lab110002024-12-18
Cheberi-ya/git_practice000002024-09-03
learn-co-curriculum/dsc-pca-in-scikitlearn-lab000002025-01-16
learn-co-curriculum/dsc-gradient-boosting-lab000002024-12-20
learn-co-curriculum/dsc-importing-data-using-pandas-lab000002024-09-10
learn-co-curriculum/dsc-running-jupyter-locally-lab000002024-09-03
learn-co-curriculum/dsc-decision-trees-lab000002024-12-03
learn-co-curriculum/dsc-categorical-variables-regression-lab000002024-11-12
learn-co-curriculum/dsc-multiple-regression-cumulative-lab000002024-11-13
learn-co-curriculum/dsc-knn-with-scikit-learn-lab000002024-12-17
learn-co-curriculum/dsc-xgboost-lab000002025-01-13
learn-co-curriculum/dsc-classes-and-instances-lab000002024-11-16
learn-co-curriculum/dsc-pipelines-lab-v2-1000002024-12-19
learn-co-curriculum/dsc-k-means-clustering-lab000002025-01-16
learn-co-curriculum/dsc-visualizing-confusion-matrices-lab000002024-11-25
learn-co-curriculum/dsc-logistic-regression-model-comparisons-lab000002024-11-27
learn-co-curriculum/dsc-regression-cart-trees-lab000002024-12-03
learn-co-curriculum/dsc-file-io000002024-09-04
learn-co-curriculum/dsc-instance-methods-lab000002024-11-16
learn-co-curriculum/dsc-tree-ensembles-random-forests-lab000002024-12-20
learn-co-curriculum/dsc-tuning-decision-trees-lab000002024-12-03
learn-co-curriculum/dsc-two-sample-t-tests-lab000002024-11-11
learn-co-curriculum/dsc-logistic-regression-lab000002024-11-27
learn-co-curriculum/dsc-ml-fundamentals-lab000002024-11-19
learn-co-curriculum/dsc-implementing-recommender-systems-lab000002025-01-14
learn-co-curriculum/dsc-sklearn-preprocessing-lab000002024-11-18
learn-co-curriculum/dsc-introduction-to-keras-lab000002026-08-12
flatiron-school/ds-python_data_manipulation000002024-09-03
learn-co-curriculum/dsc-dealing-missing-data-lab000002024-09-16
learn-co-curriculum/dsc-multiple-linear-regression-statsmodels-lab-v2-5000002024-11-12
learn-co-curriculum/dsc-distance-metrics-lab000002024-12-16

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
Bgshee1
Cheberi-ya/DECODING-BRAND-SENTIMENTS-A-MACHINE-LEARNING-APPROACH
Bonifacethuo1
Cheberi-ya/DECODING-BRAND-SENTIMENTS-A-MACHINE-LEARNING-APPROACH
michael2-netizen1
Cheberi-ya/DECODING-BRAND-SENTIMENTS-A-MACHINE-LEARNING-APPROACH

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