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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 πŸ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

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Programming, data science, ML - free courses by Big Data SpecialistTarmoq:Programming, data science, ML - free courses by Big Data SpecialistHindiston28 819Texnologiyalar & Aralashmalar8 911

πŸ“ˆ Telegram kanali Data science/ML/AI analitikasi

Data science/ML/AI (@datascience_bds) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 13 905 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 8 911-o'rinni va Hindiston mintaqasida 28 819-o'rinni egallagan.

πŸ“Š Auditoriya koβ€˜rsatkichlari va dinamika

Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβ€˜sib, 13 905 obunachiga ega boβ€˜ldi.

30 Avgust, 2026 dagi oxirgi ma’lumotlarga koβ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 90 ga, soβ€˜nggi 24 soatda esa 7 ga oβ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oβ€˜rtacha 7.35% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.05% ini tashkil etuvchi reaksiyalarni toβ€˜playdi.
  • Post qamrovi: Har bir post oβ€˜rtacha 1 022 marta koβ€˜riladi; birinchi sutkada odatda 285 ta koβ€˜rish yigβ€˜iladi.
  • Reaksiyalar va oβ€˜zaro ta’sir: Auditoriya faol: har bir postga oβ€˜rtacha 5 ta reaksiya keladi.
  • Tematik yoβ€˜nalishlar: Kontent panda, learning, row, api, ethic kabi asosiy mavzularga jamlangan.

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Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
β€œData science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers πŸ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 31 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini koβ€˜rsatadi.

13 905
Obunachilar
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Postlar arxiv
Data science/ML/AI
Data science/ML/AI
13 906
photo content

Data science/ML/AI
Data science/ML/AI
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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 βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 906
Sorry I haven't forwarded it earlier, this post belongs to this channel as well. πŸ‘†

Data science/ML/AI
Data science/ML/AI
13 906
Repost from Programming, data science, ML - free courses by Big Data Specialist
Data Analysis free courses The Analytics Edge (Spring 2017) by MIT 🎬 193 video lessons ⏰ 16 hours worth of material πŸ”— Courses link Statistics and data literacy for non-statisticians Rating ⭐️: 4.7 out of 5 Students πŸ‘¨β€πŸŽ“: 13,320 Duration ⏰: 1h 36min Teacher: Mike X Cohen πŸ”— Courses link Data Analysis with Python courses by freeCodeCamp [ Data Analysis with Python 🎬 28 video lessons Numpy 🎬 9 video lessons Data Analysis with Python Projects πŸ”– 5 projects πŸ”— Courses link ] Data Analysis w/ Python 3 and Pandas by sentdex 🎬 6 video lessons ⏰ 2-3 hours worth of material πŸ”— Course link Master Data Analysis with Python - Intro to Pandas 2022 Rating ⭐️: 4.6 out of 5 Students πŸ‘¨β€πŸŽ“: 3,828 Duration ⏰: 1hr 49min Teacher: Ted Petrou πŸ”— Courses link Learn to code for data analysis by OpenLearn ⏳ 8 weeks πŸ”— Course link Lecture notes from Statistical Thinking and Data Analysis by MIT πŸ”— Notes link Python for Data Analysis Rating ⭐️: 4.2 out of 5 Students πŸ‘¨β€πŸŽ“: 14,168 Duration ⏰: 1h 10min Teacher: Bob Wakefield πŸ”— Courses link Prepare data for analysis by Microsoft πŸ“2 modules Get data in Power BI - 12 Units Clean, transform, and load data in Power BI - 10 Units Duration ⏰: 3 hr 26 min πŸ”— Course link NOC:Data Analysis and Decision Making - I, IIT Kanpur NOC:Data Analysis & Decision Making - II, IIT Kanpur NOC:Data Analysis & Decision Making - III, IIT Kanpur πŸ‘¨β€πŸ« Prof. Raghunandan Sengupta Each of 3 parts lasts ⏳12 weeks! #datanalysis #dataanalysis #datascience #powerbi #dataanalytics βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

Data science/ML/AI
Data science/ML/AI
13 906
When to Choose CatBoost Over XGBoost or LightGBM [Practical Guide] Boosting algorithms have become one of the most powerful algorithms for training on structural (tabular) data. I have been working with these 3 for years, even my bachelor thesis was comparison of these 3 algorithms alongside AdaBoost. This article explains when to use CatBoost over other ones. https://neptune.ai/blog/when-to-choose-catboost-over-xgboost-or-lightgbm βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 906
Repost from Cool GitHub repositories
data-science This is a path for those of you who want to complete the Data Science undergraduate curriculum on your own time, for free, with courses from the best universities in the World. Creator: ossu Stars ⭐️: 14.5k Forked By: 2.6k GithubRepo:https://github.com/ossu/data-science βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @github_repositories_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 906
photo content

Data science/ML/AI
Data science/ML/AI
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Knowledge Graphs Course Data Models, Knowledge Acquisition, Inference and Applications Department of Computer Science, Stanford University, Spring 2021 ⏳10 weeks, each week has slides and video lessons πŸ“½ https://web.stanford.edu/class/cs520/ #datascience #machinelearning #tensorflow #scikitlearn #keras βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @programming_books_bds for more

Data science/ML/AI
Data science/ML/AI
13 906
ML_cheatsheets.pdf7.63 MB

Data science/ML/AI
Data science/ML/AI
13 906
Another data science channel you might like: https://t.me/Artificial_Intelligence_DS

Data science/ML/AI
Data science/ML/AI
13 906
Repost from Free programming books
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition by AurΓ©lien GΓ©ron πŸ“‘ 510 pages πŸ”— Book link #
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition by AurΓ©lien GΓ©ron πŸ“‘ 510 pages πŸ”— Book link #datascience #machinelearning #tensorflow #scikitlearn #keras βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @programming_books_bds for more

Data science/ML/AI
Data science/ML/AI
13 906
The R Programming For Data Science A-Z Complete Diploma 2022 Rating ⭐️: 4.5 out of 5 Students πŸ‘¨β€πŸŽ“: 38,584 Duration ⏰: 5h 6min πŸ”— Course link

Data science/ML/AI
Data science/ML/AI
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ML Q&A.pdf2.14 KB

Data science/ML/AI
Data science/ML/AI
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Data science/ML/AI
Data science/ML/AI
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photo content

Data science/ML/AI
Data science/ML/AI
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Intro to Machine Learning by Kaggle Learn the core ideas in machine learning, and build your first models. 1 How Models Work The first step if you're new to machine learning. 2 Basic Data Exploration Load and understand your data. 3 Your First Machine Learning Model Building your first model. Hurray! #machinelearning #ml βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group 4 Model Validation Measure the performance of your model, so you can test and compare alternatives. 5 Underfitting and Overfitting Fine-tune your model for better performance. 6 Random Forests Using a more sophisticated machine learning algorithm. 7 Machine Learning Competitions Enter the world of machine learning competitions to keep improving and see your progress. πŸ”— Course link

Data science/ML/AI
Data science/ML/AI
13 906
Data Cleaning Guide.pdf2.11 MB

Data science/ML/AI
Data science/ML/AI
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photo content

Data science/ML/AI
Data science/ML/AI
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FOUNDATIONS OF MACHINE LEARNING by Bloomberg Understand the Concepts, Techniques and Mathematical Frameworks Used by Experts in Machine Learning 🎬 30 video lessons with slides ⏰ 28 hours https://bloomberg.github.io/foml/#home #machinelearning #ml βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 906
The Incredible PyTorch A curated list of tutorials, papers, projects, communities and more relating to PyTorch. https://www.ritchieng.com/the-incredible-pytorch/ #pytorch βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group