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Data science/ML/AI

Data science/ML/AI

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Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

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📈 Análisis del canal de Telegram Data science/ML/AI

El canal Data science/ML/AI (@datascience_bds) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 14 052 suscriptores, ocupando la posición 9 083 en la categoría Tecnologías y Aplicaciones y el puesto 28 033 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 14 052 suscriptores.

Según los últimos datos del 30 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 69, y en las últimas 24 horas de -2, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 9.83%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.11% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 382 visualizaciones. En el primer día suele acumular 297 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
  • Intereses temáticos: El contenido se centra en temas clave como panda, learning, row, api, ethic.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 31 octubre, 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 Tecnologías y Aplicaciones.

14 052
Suscriptores
-224 horas
-87 días
+6930 días
Archivo de publicaciones
AutoML_Alex State-of-the art Automated Machine Learning python library for Tabular Data Creator: Alex Lekov Stars ⭐️: 191 Forked By: 41 https://github.com/Alex-Lekov/AutoML_Alex #ml #machinelarning #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

15 Essential Tips for Data Visualization
15 Essential Tips for Data Visualization

Understanding Bias and Variance in Machine Learning Bias refers to the error in the model when the model is not able to captu
Understanding Bias and Variance in Machine Learning Bias refers to the error in the model when the model is not able to capture the pattern in the data and what results is an underfit model (High Bias). Variance refers to the error in the model, when the model is too much tailored to the training data and fails to generalise for unseen data which refers to an overfit model (High Variance) There should be a tradeoff between bias and variance. An optimal model should have Low Bias and Low Variance so as to avoid underfitting and overfitting. Techniques like cross validation can be helpful in these cases. Do you enjoy content like this ? Comment to let us know if you learnt something new or revised a concept you knew ! ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Top 8 Highest Paid Companies with Data Analysts AVG Salary
Top 8 Highest Paid Companies with Data Analysts AVG Salary

What are the things you are most afraid of?
What are the things you are most afraid of?

Platforms for data Analytics Interview Preparation
Platforms for data Analytics Interview Preparation

HDFS (Hadoop Distributed File System) is the primary storage system used by Hadoop applications. This open source framework w
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HDFS (Hadoop Distributed File System) is the primary storage system used by Hadoop applications. This open source framework works by rapidly transferring data between nodes. It's often used by companies who need to handle and store big data.

weijie-chen/Linear-Algebra-With-Python Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. Creator: Weijie Chen Stars ⭐️: 1.9k Forked By: 456 https://github.com/weijie-chen/Linear-Algebra-With-Python #Linear_Algebra #Python ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @github_repositories_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

Python Libraries For Data Scientists
Python Libraries For Data Scientists

R Programming 2023: Hands on R Programming for Beginners Learn R Programming and R Studio. Data Analytics. Data Science. Data Visualization. Packages: GGPlot2, Dplyr, StringR Rating ⭐️: 4.5 out 5 Students 👨‍🎓 : 5,603 Duration ⏰ : 1hr 53min of on-demand video Created by 👨‍🏫: Prashanth Chidambaram 🔗 Course Link #Data_Science #data_analytics #R ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @bigdataspecialist for more👈

Most Important Plots in Data Science
Most Important Plots in Data Science

Probability and Statistics cheat sheets for data science By Stanford https://stanford.edu/~shervine/teaching/cme-106/
Probability and Statistics cheat sheets for data science By Stanford https://stanford.edu/~shervine/teaching/cme-106/

Best Free Certified Machine Learning Courses
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Made-With-ML Learn how to design, develop, deploy and iterate on production-grade ML applications. Creator: Goku Mohandas Stars ⭐️: 34.8k Forked By: 5.6k https://github.com/GokuMohandas/Made-With-ML #ml #machinelarning #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

SQL Essentials for Data Analysts
SQL Essentials for Data Analysts

pandas Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more Creator: pandas-dev Stars ⭐️: 40.8k Forked By: 17.1k https://github.com/pandas-dev/pandas #pandas #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

8 Business Analytics Project Ideas for Your Resume
8 Business Analytics Project Ideas for Your Resume

Data Pre-Processing for Data Analytics and Data Science Pre-Processing for Data Analytics and Data Science Rating ⭐️: 4.5 out 5 Students 👨‍🎓 : 1,686 Duration ⏰ : 1hr 59min on-demand video Created by 👨‍🏫: Elearning Moocs 🔗 Course Link #Data_Science #data_analytics ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @bigdataspecialist for more👈

How to Become a Power BI expert in 2024
How to Become a Power BI expert in 2024

superset Apache Superset is a Data Visualization and Data Exploration Platform Creator: The Apache Stars ⭐️: 56.1k Forked By: 12.1k https://github.com/apache/superset #data #visualization #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool repositories. *This channel belongs to @bigdataspecialist group