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Coding & Data Science Resources

Coding & Data Science Resources

رفتن به کانال در Telegram

📈 تحلیل کانال تلگرام Coding & Data Science Resources

کانال Coding & Data Science Resources (@codingfreebooks) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 32 496 مشترک است و جایگاه 4 018 را در دسته فناوری و برنامه‌ها و رتبه 12 275 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 32 496 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 02 سپتامبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 226 و در ۲۴ ساعت گذشته برابر 11 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 0.94% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً N/A% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 0 بازدید دریافت می‌کند. در اولین روز معمولاً 0 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 0 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند insidead, chart, programming, mining, lecture تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
Official Telegram Channel for Free Coding & Data Science Resources Admin: @love_data

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 03 سپتامبر, 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.

32 496
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+1124 ساعت
+787 روز
+22630 روز
آرشیو پست ها
Quick Power BI Functions Cheat Sheet for Beginners 📊✍️ Aggregation Functions (DAX)SUM(column): Returns the total of a column. • AVERAGE(column): Calculates the average value. • COUNT(column): Counts non-blank rows in a column. • DISTINCTCOUNT(column): Counts unique values. • MAX(column): Returns the highest value. • MIN(column): Returns the lowest value. Filter FunctionsFILTER(table, condition): Returns a filtered table based on a condition. • ALL(table/column): Removes filters from a table or column. • ALLEXCEPT(table, column): Removes all filters except specified columns. • VALUES(column): Returns unique values from a column. Logical FunctionsIF(condition, true_result, false_result): Performs conditional logic. • SWITCH(expression, value1, result1, …): Evaluates multiple conditions. • AND(condition1, condition2): Returns TRUE if both conditions are true. • OR(condition1, condition2): Returns TRUE if any condition is true. Date Time FunctionsTODAY(): Returns the current date. • NOW(): Returns the current date and time. • YEAR(date): Extracts the year from a date. • MONTH(date): Extracts the month from a date. • DATEDIFF(date1, date2, interval): Returns the difference between two dates. Text FunctionsCONCATENATE(text1, text2): Joins two text values. • LEFT(text, num_chars): Extracts characters from the left. • RIGHT(text, num_chars): Extracts characters from the right. • LEN(text): Returns the length of text. • FORMAT(value, text, format_string): Converts value to formatted text. Relationship FunctionsRELATED(column): Fetches data from a related table. • RELATEDTABLE(table): Returns related rows from another table. • USERELATIONSHIP(column1, column2): Activates an inactive relationship. Power BI Resources: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c Double Tap ♥️ For More

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Websites I wish I knew about before graduating 🥲 1. DORA : This website lets you create animated apps and sites in seconds https://www.dora.run/ 2. Chatgpt study : Turns your ChatGPT into an actual tutor that can test you in real time https://openai.com/index/chatgpt-study-mode/ 3. docsity : Gives you free access to past papers, exams just by entering your university https://www.docsity.com/en/ 4. chatpdf : Lets you upload your documents so you can chat and question the different sections https://www.chatpdf.com/ 5. paper panda : This website can legit gives you access to any paper or article you can’t access https://paperpanda.app/ 6. Paperpal: You can paste your entire essay in here and it edits it like a top students https://paperpal.com 7. flow: This website lets you create an entire animated movie using AI https://labs.google/flow/about

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What if I told you that most people are missing out on easy money just because they haven’t found the right methods? 💸 It’s
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Wusstest du, dass die meisten Nutzer täglich die besten Telegram-Kanäle übersehen? 🤯 Entdecke die heißesten Inhalte in Europ
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Understanding Popular ML Algorithms: 1️⃣ Linear Regression: Think of it as drawing a straight line through data points to predict future outcomes. 2️⃣ Logistic Regression: Like a yes/no machine - it predicts the likelihood of something happening or not. 3️⃣ Decision Trees: Imagine making decisions by answering yes/no questions, leading to a conclusion. 4️⃣ Random Forest: It's like a group of decision trees working together, making more accurate predictions. 5️⃣ Support Vector Machines (SVM): Visualize drawing lines to separate different types of things, like cats and dogs. 6️⃣ K-Nearest Neighbors (KNN): Friends sticking together - if most of your friends like something, chances are you'll like it too! 7️⃣ Neural Networks: Inspired by the brain, they learn patterns from examples - perfect for recognizing faces or understanding speech. 8️⃣ K-Means Clustering: Imagine sorting your socks by color without knowing how many colors there are - it groups similar things. 9️⃣ Principal Component Analysis (PCA): Simplifies complex data by focusing on what's important, like summarizing a long story with just a few key points. Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624 ENJOY LEARNING 👍👍