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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
TypeChannel
Username@machinelearningknowledge
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live31 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 31 August 2026
On Telegramt.me/machinelearningknowledge

Growth

2882902897 August 2026 — 290 subscribers8 August 2026 — 290 subscribers15 August 2026 — 289 subscribers31 August 2026 — 288 subscribers7 August 202631 August 2026
4 measurements spanning 23 days, net -2. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 288–290 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
31 Aug 2026, 04:17288-1
15 Aug 2026, 06:48289-1
8 Aug 2026, 08:17290no change
7 Aug 2026, 21:56290first reading

Engagement

20 posts held, back to 29 September 2021the 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

6 Nov 2021, 13:44 UTC762 viewsread 8 August 2026

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

4 Nov 2021, 13:43 UTC720 viewsread 8 August 2026

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

2 Nov 2021, 13:43 UTC421 viewsread 8 August 2026

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

31 Oct 2021, 13:42 UTC360 viewsread 8 August 2026

4 Image Segmentation Techniques in OpenCV Python https://machinelearningknowledge.ai/image-segmentation-in-python-opencv/?feed_id=784&_unique_id=617e9d4f6e7c7

29 Oct 2021, 13:42 UTC292 viewsread 8 August 2026

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

27 Oct 2021, 13:41 UTC266 viewsread 8 August 2026

Spacy NLP Pipeline Tutorial for Beginners https://machinelearningknowledge.ai/spacy-nlp-pipeline-tutorial-for-beginners/?feed_id=776&_unique_id=6179571c5c6be

25 Oct 2021, 13:41 UTC234 viewsread 8 August 2026

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

23 Oct 2021, 13:41 UTC211 viewsread 8 August 2026

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

21 Oct 2021, 13:40 UTC198 viewsread 8 August 2026

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

19 Oct 2021, 13:40 UTC182 viewsread 8 August 2026

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

17 Oct 2021, 13:39 UTC160 viewsread 8 August 2026

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

15 Oct 2021, 13:39 UTC158 viewsread 8 August 2026

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.