Firibgarlarga uchmang! Telemetrio bunday kanallarni topadi va belgilaydi 👉 Belgini ko‘rmoqchi bo‘lsangiz, obuna bo‘ling

Data science/ML/AI

Kanalga Telegram’da o‘tish

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

Ko'proq ko'rsatish

Tarmoq:Programming, data science, ML - free courses by Big Data Specialist Hindiston28 047 Texnologiyalar & Aralashmalar9 084...

📈 Telegram kanali Data science/ML/AI analitikasi

Data science/ML/AI (@datascience_bds) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 14 052 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 9 084-o'rinni va Hindiston mintaqasida 28 047-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 14 052 obunachiga ega bo‘ldi.

31 Oktabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 57 ga, so‘nggi 24 soatda esa 1 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 9.70% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.13% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 1 363 marta ko‘riladi; birinchi sutkada odatda 299 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 4 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent panda, learning, row, api, ethic kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“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...”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 01 Noyabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

14 052

Obunachilar

+124 soatlar

-37 kun

+5730 kun

1 363

Post ko'rishlar

~ 29924 soatlar

~ 41948 soatlar

9.70%

Muloqot nisbati

Ma'lumot yo'q

Kuniga postlar

Ads index

beta

Postlar arxiv

14 052

THE MACHINE LEARNING DEVELOPMENT WORKFLOW

14 052

The Machine Learning Crash Course With TensorFlow APIs Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises. Link: **https://developers.google.com/machine-learning/crash-course **Contents: 🔘 30+ Exercises 🔘 25 Lessons 🔘 15 hours course duration 🔘 Lectures from Google Researchers 🔘 Real World Case Studies 🔘 Interactive Visualisation of Algorithms in action ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

14 052

2022 Python and Machine Learning in Financial Analysis Looking to improve your machine learning skills for financial analysis? Here's a free resource for you😉 Rating⭐️: 4.3 out 5 Students 👨‍🎓 : 33,014 Duration ⏰ : 20 hours on-demand video Teacher 👨‍🏫: S.Emadedin Hashemi Course Link This course coupon expires until 3rd of May. Let's jump on this while we still can😁 #machinelearning #pythoncourses #python ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

14 052

Best of Machine Learning with Python Here's a ranked list of 920 awesome machine learning projects with a total of 3,4 Million stars grouped into 34 categories. Stars⭐️: 6.9K Fork: 962 Repo: https://github.com/ml-tooling/best-of-ml-python#image-data ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

14 052

Difference between AI, ML and DL Contains a simplified guide to understanding the terms AI, ML and DL

14 052

Matplotlib Cheat Sheet Contains essential MatPlotLib guide from beginners to pro

14 052

The Best Data Science Approaches In The Data Mining World One of the best approaches in the data mining world is called the CRISP-DM. This means Cross Industry Standard Process for Data Mining. It describes the data project as having six phases. 1) Business Understanding a) What is the business objectives and situation assessment b) Determine the data mining goal and create a project plan 2) Data Understanding a) Collect Initial data and describe data b) Explore data and verify data quality 3) Data Preparation a) Get,Select and Clean the data set b) Construct and Integrate data 4) Modeling a) Select model technique and generate test design b) Build and access model 5) Evaluation a) Evaluate and review process b) Determine the next steps 6) Deployment a) Plan deployment b) Plan monitoring and maintenance c) Produce final report and review project

14 052

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

Machine Learning with Python : COMPLETE COURSE FOR BEGINNERS Complete Machine Learning Course with Python for beginners Rating⭐️: 4.6 out 5 Students 👨‍🎓 : 18533 Duration ⏰ : 13 hours on-demand video Teacher 👨‍🏫: Prashant Mishra 🔗 Course link I have noticed this one is currently free (but only for first 1000 enrols !!!) so I thought some of you might be interested 😊 #machinelearning #pythoncourses #python ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @bigdataspecialist for more👈

14 052

The Data Science Interview Study Guide Preparing for a job interview can be a full-time job, and Data Science interviews are no different. Here are 121 resources that can help you study and quiz your way to landing your dream data science job. https://www.kdnuggets.com/2020/01/data-science-interview-study-guide.html

14 052

Top 8 Github Repos to Learn Data Science and Python 1. All algorithms implemented in Python By: The Algorithms Stars ⭐️: 135K Fork: 35.3K Repo: https://github.com/TheAlgorithms/Python 2. DataScienceResources By: jJonathan Bower Stars ⭐️: 3K Fork: 1.3K Repo: https://github.com/jonathan-bower/DataScienceResources 3. Playground and Cheatsheet for Learning Python By: Oleksii Trekhleb ( Also the Image) Stars ⭐️: 12.5K Fork: 2K Repo: https://github.com/trekhleb/learn-python 4. Learn Python 3 By: Jerry Pussinen Stars ⭐️: 4,8K Fork: 1,4K Repo: https://github.com/jerry-git/learn-python3 5. Awesome Data Science By: Fatih Aktürk, Hüseyin Mert & Osman Ungur, Recep Erol. Stars ⭐️: 18.4K Fork: 5K Repo: https://github.com/academic/awesome-datascience 6. data-scientist-roadmap By: MrMimic Stars ⭐️: 5K Fork: 1.5K Repo: https://github.com/MrMimic/data-scientist-roadmap 7. Data Science Best Resources By: Tirthajyoti Sarkar Stars ⭐️: 1.8K Fork: 717 Repo: https://github.com/tirthajyoti/Data-science-best-resources/blob/master/README.md 8. Ds-cheatsheets By: Favio André Vázquez Stars ⭐️: 10.4K Fork: 3.1K Repo: https://github.com/FavioVazquez/ds-cheatsheets ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

14 052

Few Numpy Tutorials Python NumPy Tutorial – Learn NumPy Arrays With Examples https://www.edureka.co/blog/python-numpy-tutorial/ Python Numpy Tutorial (with Jupyter and Colab) https://cs231n.github.io/python-numpy-tutorial/ NumPy fundamentals (official docs) https://numpy.org/doc/stable/user/basics.html #numpy ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

14 052

Python Machine Learning (3rd Ed.) Code Repository Paperback: 770 pages Publisher: Packt Publishing Language: English https://github.com/rasbt/python-machine-learning-book-3rd-edition ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group