اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
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
نمایش بیشتر📈 تحلیل کانال تلگرام Data science/ML/AI
کانال Data science/ML/AI (@datascience_bds) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 13 674 مشترک است و جایگاه 9 377 را در دسته فناوری و برنامهها و رتبه 31 635 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 13 674 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 09 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 155 و در ۲۴ ساعت گذشته برابر 5 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 8.03% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 2.25% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 1 098 بازدید دریافت میکند. در اولین روز معمولاً 308 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 5 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند panda, learning, row, api, ethic تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“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...”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 10 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
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مشترکین
+524 ساعت
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آرشیو پست ها
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Some Helpful Data Science Projects for Beginners
https://www.kaggle.com/c/house-prices-advanced-regression-techniques
https://www.kaggle.com/c/digit-recognizer
https://www.kaggle.com/c/titanic
Intermediate Level Data science Projects
Black Friday Data : https://www.kaggle.com/sdolezel/black-friday
Human Activity Recognition Data : https://www.kaggle.com/uciml/human-activity-recognition-with-smartphones
Trip History Data : https://www.kaggle.com/pronto/cycle-share-dataset
Million Song Data : https://www.kaggle.com/c/msdchallenge
Census Income Data : https://www.kaggle.com/c/census-income/data
Movie Lens Data : https://www.kaggle.com/grouplens/movielens-20m-dataset
Twitter Classification Data : https://www.kaggle.com/c/twitter-sentiment-analysis2
Text mining : https://www.kaggle.com/kanncaa1/applying-text-mining
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Data Science Cheat sheet 2.0
A helpful 5-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between. It covers over a semester of introductory machine learning, and is based on MIT's Machine Learning courses 6.867 and 15.072. The reader should have at least a basic understanding of statistics and linear algebra, though beginners may find this resource helpful as well.
Creator: Aaron Wang
Stars ⭐️: 4.5k
Forked By: 645
https://github.com/aaronwangy/Data-Science-Cheatsheet
#datascience
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Data Science courses with Certificates (FREE)
❯ Python
cs50.harvard.edu/python/
❯ SQL
kaggle.com/learn/advanced…
❯ Excel
simplilearn.com/learn-business…
❯ PowerBI
learn.microsoft.com/training/paths…
❯ Tableau
openclassrooms.com/courses/587360…
❯ R
mygreatlearning.com/academy/learn-…
❯ Data Cleaning
kaggle.com/learn/data-cle…
❯ Data Analysis
freecodecamp.org/learn/data-ana…
❯ Data Visualization
cognitiveclass.ai/courses/data-v…
❯ Mathematics & Statistics
matlabacademy.mathworks.com
❯ Probability
mygreatlearning.com/academy/learn-…
❯ Machine Learning
freecodecamp.org/learn/machine-…
❯ Deep Learning
kaggle.com/learn/intro-to…
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Scientific Data Processing
by Google Cloud Platform
Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.
Syllabus includes following topics:
Introduction to SQL for BigQuery and Cloud SQL
Rent-a-VM to Process Earthquake Data
Weather Data in BigQuery
Distributed Image Processing in Cloud Dataproc
Analyzing Natality Data Using Vertex AI and BigQuery
Predict Baby Weight with TensorFlow on AI Platform
🆓 Free Online Course
⏰ Duration : More than 6 hour
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Top🔥10 Computer Vision 🔥Project Ideas 🔥
1. Edge Detection
2. Photo Sketching
3. Detecting Contours
4. Collage Mosaic Generator
5. Barcode and QR Code Scanner
6. Face Detection
7. Blur the Face
8. Image Segmentation
9. Human Counting with OpenCV
10. Colour Detection
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Dear Community,
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Thank you for your support and understanding!
For any questions feel free to contact me directly at @mldatascientist
Warm regards,
Big Data specialist
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🔥WEBSITES TO GET FREE DATA SCIENCE CERTIFICATIONS🔥
👌. Kaggle: http://kaggle.com
👌. freeCodeCamp: http://freecodecamp.org
👌. Cognitive Class: http://cognitiveclass.ai
👌. Microsoft Learn: http://learn.microsoft.com
👌. Google's Learning Platform: https://developers.google.com/learn
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