Tutorial for Bar Plot in ggplot2 with Examples https://machinelearningknowledge.ai/tutorial-for-bar-plot-in-ggplot2-with-examples/?feed_id=796&_unique_id=618686b0540a0

Channel
MLK - Machine Learning Knowledge
@machinelearningknowledge
On this record: Growth · Engagement · Posts · Cite this entry
288subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001228720687 |
|---|---|
| Type | Channel |
| Username | @machinelearningknowledge |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 31 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 31 August 2026 |
| On Telegram | t.me/machinelearningknowledge |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Aug 2026, 04:17 | 288 | -1 |
| 15 Aug 2026, 06:48 | 289 | -1 |
| 8 Aug 2026, 08:17 | 290 | no change |
| 7 Aug 2026, 21:56 | 290 | first reading |
Engagement
20 posts held, back to 29 September 2021 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 6 November 2021. An engagement rate over an empty window would be a number about nothing.
Recent posts
Tutorial for Histogram in R using ggplot2 with Examples https://machinelearningknowledge.ai/tutorial-for-histogram-in-r-using-ggplot2-with-examples/?feed_id=792&_unique_id=6183e3894fe00
Complete Tutorial of PCA in Python Sklearn with Example https://machinelearningknowledge.ai/complete-tutorial-for-pca-in-python-sklearn-with-example/?feed_id=788&_unique_id=618140763d4c5
4 Image Segmentation Techniques in OpenCV Python https://machinelearningknowledge.ai/image-segmentation-in-python-opencv/?feed_id=784&_unique_id=617e9d4f6e7c7
Put Text on Image in OpenCV Python using cv2.putText() with Examples https://machinelearningknowledge.ai/put-text-on-image-in-opencv-python-using-cv2-puttext-with-examples/?feed_id=780&_unique_id=617bfa3372c1f
Spacy NLP Pipeline Tutorial for Beginners https://machinelearningknowledge.ai/spacy-nlp-pipeline-tutorial-for-beginners/?feed_id=776&_unique_id=6179571c5c6be
Tutorial for Line Plot in R using ggplot2 with Examples https://machinelearningknowledge.ai/tutorial-for-line-plot-in-r-using-ggplot2-with-examples/?feed_id=772&_unique_id=6176b4132433a
Learn Scatter Plot in R using ggplot2 with Examples https://machinelearningknowledge.ai/learn-scatter-plot-in-r-using-ggplot2-with-examples/?feed_id=768&_unique_id=61741103c6e19
How To Use Sklearn Simple Imputer (SimpleImputer) for Filling Missing Values in Dataset https://machinelearningknowledge.ai/how-to-use-sklearn-simple-imputer-simpleimputer-for-filling-missing-values-in-dataset/?feed_id=764&_unique_id=61716dd2c8dc4
Random Forest Classifier in Python Sklearn with Example https://machinelearningknowledge.ai/python-sklearn-random-forest-classifier-tutorial-with-example/?feed_id=760&_unique_id=616ecab94fc4f
KNN Classifier in Sklearn using GridSearchCV with Example https://machinelearningknowledge.ai/knn-classifier-in-sklearn-using-gridsearchcv-with-example/?feed_id=756&_unique_id=616c279599358
Learn to Flip Image in OpenCV Python Horizontally and Vertically using cv2.flip() https://machinelearningknowledge.ai/learn-to-flip-image-in-opencv-python-horizontally-and-vertically-using-cv2-flip/?feed_id=752&_unique_id=6169849257d14
Showing the 12 most recent of 20 posts we hold for @machinelearningknowledge. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 31 August 2026 — this entry's latest reading, not the date you are reading this.
“MLK - Machine Learning Knowledge” (@machinelearningknowledge), 288 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/machinelearningknowledge.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.