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

Red:Programming, data science, ML - free courses by Big Data Specialist India28 863 Tecnologías y Aplicaciones8 914...

📈 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 13 906 suscriptores, ocupando la posición 8 914 en la categoría Tecnologías y Aplicaciones y el puesto 28 863 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 13 906 suscriptores.

Según los últimos datos del 29 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 86, y en las últimas 24 horas de 0, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 7.48%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.04% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 1 039 visualizaciones. En el primer día suele acumular 284 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 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 30 agosto, 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.

13 901

Suscriptores

Sin datos24 horas

-57 días

+8630 días

1 039

Visitas de la publicación

~ 28424 horas

~ 41048 horas

7.48%

Tasa de compromiso

~ 1

Mensajes por día

Ads index

beta

Archivo de publicaciones

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6 Deep Learning Books

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Repost from AI Revolution

Evolution of AI

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Different Probability Distributions used in Data Science

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Python Data Science Handbook Python Data Science Handbook: full text in Jupyter Notebooks. This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks. Creator: Jake Vanderplas Stars⭐️: 39k Fork: 17.1K Repo: https://github.com/jakevdp/PythonDataScienceHandbook ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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Deep Learning Methods (Classification)

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The essential data science venn diagram

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Repost from Programming, data science, ML - free courses by Big Data Specialist

Data Science Projects - Data Analysis & Machine Learning Learn how to build Data Science Projects with Python. Classification, Time-Series and NLP Projects. Not for beginners. Rating ⭐️: 4.8 out 5 Students 👨‍🎓 : 5,201 Duration ⏰ : 1hr 44min on-demand video Created by 👨‍🏫: Onur Baltacı 🔗 Course Link #Projects #Data_Analysis #Machine_Learning #Data_Science ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @bigdataspecialist for more👈

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Choosing a statistical test

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Repost from Programming, data science, ML - free courses by Big Data Specialist

Machine Learning & Data Science from Caltech This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to adaptively improve their performance with experience accumulated from the observed data. ML has become one of the hottest fields of study today, taken up by undergraduate and graduate students from more than 20 different majors at Caltech. This course balances theory and practice, and covers the mathematical as well as the heuristic aspects. ⏰ Free Online Course 🎬 18 Video lessons 📁 downloadable resources 🏃‍♂️ Self paced Offered by: Caltech 🔗 Course link #Machine #Leaning #machinelearning #data_science ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @bigdataspecialist for more👈

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Complete Data Science Roadmap 2023

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Data Science job expectation vs reality

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Data Science for Beginners - A Curriculum Azure Cloud Advocates at Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'. Creator: Microsoft Stars⭐️: 21.6k Fork: 4.3K Repo: https://github.com/microsoft/Data-Science-For-Beginners ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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Underfitting vs Overfitting

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15 Different Types of Data Scientists [with Responsibilities] A Data Scientist is a person who uses his/her skillset to gather, manage and store data for analysis. This is not easy as it sounds; a single person cannot do handling and engineer data. Proficiency in programming, mathematics, statistics, databases, etc., are some of the basic skills required to pursue different data science types of activities. Creating various types of data science models is the key responsibility of a data scientist. Financial models, Business models, and Machine learning models are some of the models which are developed by different types of data scientists. Data science is a broad term; the number of activities involved in data science is classified among professionals called Data Scientists. Let's explore the different types of data scientists along with their responsibilities. 🔗 Article Link #Data_Science #Data #Science #datascience_types ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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Data Science vs Data Analytics Skills

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INTRODUCTION TO DATA SCIENCE/Machine Learning In this course, I include easy-to-understand materials covering topics from data mining and machine learning. I try to explain the algorithms and the mathematics behind those algorithms in such a way that the resources do not overwhelm the learners. At the same time, I make sure that each lecture has adequate core content to build a data science foundation. I am still creating content and adding them to this curriculum. 🆓 Free Online Course 🎬 video lessons 🏃‍♂️ Self paced Modules ⏰: 6 Source: computing4all 🔗 Course Link #Data_Science #Data #Science ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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Data Science and Machine Learning by Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre, Radislav Vaisman 📄 533 pages 🔗 Book Link #data_science #machinelearning ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more

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KNN Algorithm for Regression

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Repost from Programming, data science, ML - free courses by Big Data Specialist

Basics of Pandas for Data Analysis & Data Science Learn Basics of Pandas for Data Analysis , Data Manipulation , Data Visualisation & Data Science Rating ⭐️: 4.6 out 5 Students 👨‍🎓 : 2,376 Duration ⏰ : 1hr 55min on-demand video Created by 👨‍🏫: Shan Singh 🔗 Course Link #Pandas #Data_Analysis #Data_Visualization #Data_Science ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @bigdataspecialist for more👈

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Data Scientist and Data Engineer