Machine Learning with Python

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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

Red:Machine Learning with Python India5 035 Educación2 428...

📈 Análisis del canal de Telegram Machine Learning with Python

El canal Machine Learning with Python (@codeprogrammer) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 67 835 suscriptores, ocupando la posición 2 428 en la categoría Educación y el puesto 5 035 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 67 835 suscriptores.

Según los últimos datos del 15 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 82, y en las últimas 24 horas de 13, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 4.40%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.74% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 2 983 visualizaciones. En el primer día suele acumular 1 177 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 5.
Intereses temáticos: El contenido se centra en temas clave como insidead, learning, degree, evaluation, algorithm.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 16 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.

67 835

Suscriptores

+1324 horas

+187 días

+8230 días

2 983

Visitas de la publicación

~ 1 17724 horas

~ 1 70948 horas

4.40%

Tasa de compromiso

~ 4

Mensajes por día

Ads index

beta

Archivo de publicaciones

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Get started in Data Science with Microsoft's FREE course for beginners. - 10 weeks - 20 lessons - Lecture notes - 100% FREE https://microsoft.github.io/Data-Science-For-Beginners/ https://t.me/DataScienceT

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Repost from Machine Learning with Python

Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatically add you to all channels Please update telegram version

67 836

Repost from AI & ML Papers

Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatically add you to all channels Please update telegram version

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Google just dropped Generative AI learning path with 9 courses: 🤖: Intro to Generative AI 🤖: Large Language Models 🤖: Responsible AI 🤖: Image Generation 🤖: Encoder-Decoder 🤖: Attention Mechanism 🤖: Transformers and BERT Models 🤖: Create Image Captioning Models 🤖: Intro to Gen AI Studio 🌐 Link: https://www.cloudskillsboost.google/paths/118 https://t.me/DataScienceT

67 836

Repost from AI & ML Papers

Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatically add you to all channels Please update telegram version

67 836

Repost from AI & ML Papers

Best Data Science Channels and groups on Telegram: https://t.me/addlist/8_rRW2scgfRhOTc0 Only click on OK and Will automatically add you to all channels Please update telegram version

67 836

80+ Jupyter Notebook tutorials on image classification, object detection and image segmentation in various domains 📌 Agriculture and Food 📌 Medical and Healthcare 📌 Satellite 📌 Security and Surveillance 📌 ADAS and Self Driving Cars 📌 Retail and E-Commerce 📌 Wildlife Classification library https://github.com/Tessellate-Imaging/monk_v1 Notebooks - https://github.com/Tessellate-Imaging/monk_v1/tree/master/study_roadmaps/4_image_classification_zoo Detection and Segmentation Library https://github.com/Tessellate-Imaging/ Monk_Object_Detection Notebooks: https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo https://t.me/DataScienceT

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Repost from AI & ML Papers

Data Science With Python Workflow Cheat Sheet Creator: business Science Stars ⭐️: 75 Forked By: 38 https://github.com/business-science/cheatsheets/blob/master/Data_Science_With_Python_Workflow.pdf https://t.me/DataScienceT

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How do Transformers work? All the Transformer models mentioned above (GPT, BERT, BART, T5, etc.) have been trained as language models. This means they have been trained on large amounts of raw text in a self-supervised fashion. Self-supervised learning is a type of training in which the objective is automatically computed from the inputs of the model. That means that humans are not needed to label the data! This type of model develops a statistical understanding of the language it has been trained on, but it’s not very useful for specific practical tasks. Because of this, the general pretrained model then goes through a process called transfer learning. During this process, the model is fine-tuned in a supervised way — that is, using human-annotated labels — on a given task 🔗 Read More

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"Stay up-to-date with the latest information and news in the field of Data Science and Data Analysis by following the DataScienceT channel on Telegram #DataScience #Telegram #DataAnalysis #BigData #MachineLearning #ArtificialIntelligence #DataMining #DataVisualization #Statistics #Python #RProgramming #DeepLearning #NeuralNetworks #NaturalLanguageProcessing #BusinessIntelligence #Analytics #DataEngineering #DataManagement #DataQuality #DataGovernance" https://t.me/DataScienceT

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💥 Learn Programming With Go (Golang), One Game at a Time

📃 Learn the fundamentals of programming with Go through a lot of exercises & by building your own games!

📃 Taught By: Preslav Mihaylov

🌐 Download Full Course: https://t.me/+xIYRmZxpAog5YTdk ⭐️ Python Courses: https://t.me/Python53

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More ♥️👍 = more important projects

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Speech to Text using Python ✅ More ♥️♥️ = more posts @CodeProgrammer ♥️

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Create an Audiobook in Python

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The Data Science and Python channel is for researchers and advanced programmers Subscribe: t.me/DataScienceT

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More ♥️👍 = more important projects

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Sending_emails_using_python.py0.01 KB

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