اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
DataSpoof
رفتن به کانال در Telegram
Learn Data Science https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data
نمایش بیشتر📈 تحلیل کانال تلگرام DataSpoof
کانال DataSpoof (@dataspoof) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 16 129 مشترک است و جایگاه 12 548 را در دسته آموزش و رتبه 26 541 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 16 129 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 22 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -144 و در ۲۴ ساعت گذشته برابر -5 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
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- علایق موضوعی: محتوا بر موضوعات کلیدی مانند api, llm, pipeline, +9183182, engineer تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Learn Data Science
https://dataspoof4081.graphy.com/membership
Artificial Intelligence
Machine Learning
Data Science
Deep learning
Computer vision
NLP
Big data”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 23 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 آموزش تبدیل کردهاند.
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مشترکین
-524 ساعت
-277 روز
-14430 روز
آرشیو پست ها
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The top 10 computer vision papers in 2020 with video demos, articles, code, and paper reference.
https://www.kdnuggets.com/2021/01/top-10-computer-vision-papers-2020.html
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The giveaway of Handwritten notes on machine learning is started.
To participate in this giveaway. You have to like 5 recent post on Instagram.
Link down below 👇👇👇
https://www.instagram.com/p/CLv6syIBvC9/?igshid=1hsa7kbso43vj
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https://www.youtube.com/watch?v=Nn4S5V8d--Q Github unofficial cool features. I think it would be helpful for everyone.
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Here is awesome collection of computer vision pre-trained models.
https://github.com/balavenkatesh3322/CV-pretrained-model
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Best of Machine Learning in 2019: Reddit Edition
A look at 17 of the most popular projects, research papers, demos, and more from the subreddit r/MachineLearning over the past year
https://heartbeat.fritz.ai/best-of-machine-learning-in-2019-reddit-edition-5fbb676a808
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The best to learn how to deal with text data.
What you will learn in this book
Natural language processing
Deep learning algorithms.
How to deal with text data.
Advance machine learning and deep learning techniques.
https://amzn.to/3aECsw5
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How to perform image annotation.
https://medium.com/deepquestai/object-detection-training-preparing-your-custom-dataset-6248679f0d1d
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Some of the intermediate lists projects
Plant-Leaf-Classification-using-Swedish-Leaf-Dataset
Weed Detection in Soybean Crops
Sentiment analysis of memes
Social-Media-News-Generation
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https://twitter.com/Abhi007si/status/1357934159180689411?s=19
Follow us on Twitter for latest news related to artificialintelligence, machine learning and data science.
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Deploying ML as part of an application requires a blend of creativity, strong engineering practices, and an analytical mindset. ML products are notoriously challenging to build because they require much more than simply training a model on a dataset. Choosing the right ML approach for a given feature, analyzing model errors and data quality issues, and validating model results to guarantee product quality are all challenging problems that are at the core of the ML building process.
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Many Data Science aspirants struggle to find good projects to get a start in Data science or Machine Learning.
Here is the list of few Data Science projects (found on kaggle), it covers Basics of Python, Advanced Statistics, Supervised Learning (Regression and Classification problems)
1. Basic python and statistics
Pima Indians :- https://www.kaggle.com/uciml/pima-indians-diabetes-database
Cardio Goodness fit :- https://www.kaggle.com/saurav9786/cardiogoodfitness
Automobile :- https://www.kaggle.com/toramky/automobile-dataset
2. Advanced Statistics
Game of Thrones:-https://www.kaggle.com/mylesoneill/game-of-thrones
World University Ranking:-https://www.kaggle.com/mylesoneill/world-university-rankings
IMDB Movie Dataset:- https://www.kaggle.com/carolzhangdc/imdb-5000-movie-dataset
3. Supervised Learning
a) Regression Problems
How much did it rain :- https://www.kaggle.com/c/how-much-did-it-rain-ii/overview
Inventory Demand:- https://www.kaggle.com/c/grupo-bimbo-inventory-demand
Property Inspection predictiion:- https://www.kaggle.com/c/liberty-mutual-group-property-inspection-prediction
Restaurant Revenue prediction:- https://www.kaggle.com/c/restaurant-revenue-prediction/data
IMDB Box office Prediction:-https://www.kaggle.com/c/tmdb-box-office-prediction/overview
b) Classification problems
Employee Access challenge :- https://www.kaggle.com/c/amazon-employee-access-challenge/overview
Titanic :- https://www.kaggle.com/c/titanic
San Francisco crime:- https://www.kaggle.com/c/sf-crime
Customer satisfcation:-https://www.kaggle.com/c/santander-customer-satisfaction
Trip type classification:- https://www.kaggle.com/c/walmart-recruiting-trip-type-classification
Categorize cusine:- https://www.kaggle.com/c/whats-cooking
These are the links of competitions, from there previous notebooks can be checked to begin with, Hope it will be helpful 😊😊
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Object detection using single shot detection implementation.
https://www.linkedin.com/posts/data-spoof_deep-learning-for-object-detection-a-comprehensive-activity-6761293280685699072-zAVh
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https://www.instagram.com/p/CKlNw7zhQZ8/?igshid=9atp7jmt3v21
Like ❤ and comment. And save it for data science preparation.
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Questions
Can you suggest any models/model ideas for working with financial time series.
Answer- some of the model that are available FOR FINANCIAL TIME SERIES are
1- ARIMA
2- GARIMA
3- Facebook prophet
There is a great blog on time series analysis
https://www.dataspoof.info/post/time-series-analysis-in-python
