🎥 چین فرودگاهی را بر روی کوهی به ارتفاع ۱۸۰۰ متر ساخت

🔹ساختن چنین فرودگاهی، نیازمند هفت سال ساخت و ساز ، سرمایه گذاری ۲۵۳ میلیون دلاری و منفجرکردن قله کوه تائوهوا است.

📣خراسان‌آنلاین @Onlinekhorasan

🔴 30 کتابخانه پایتون برای علم داده
🚀 افزایش شدید بهره‌وری علم داده شما

📚 در اینجا مجموعه ای از 30 کتابخانه فوق العاده کاربردی و ضروری پایتون برای علوم داده وجود دارد که هر کدام از آن‌ها پتانسیل عظیمی برای افزایش سرسام آور مهارت های علم داده شما دارند.💣

#️⃣ #علم_داده #DataScience
➖➖➖➖➖➖➖➖➖➖➖➖
📊 دانشمند داده شوید :
📎 @DataScience_ir

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رودمپ بسیار کامل علم داده در سه سطح مبتدی متوسط و پیشرفته

🎥
🔰 Beginner 🔰
Algorithms Book Every piece of code could be called an algorithm, but this book covers the more interesting bits.
Specializations (data structures-algorithms)

1. Denoscriptive Statistics
   video_camera Intro to denoscriptive statistics
   video_camera Statistics Fundamentals - StatQuest - Youtube
   📕 Online statistics education
   closed_book Intro to denoscriptive statistics Article1 & Article2
   video_camera Arabic Course
   video_camera Intro to Inferential Statistics++
   closed_book Practical Statistics for Data Scientists

2. Probability
   video_camera Khan Academy
   video_camera Arabic Course
   📕 Introduction to Probability

3. Programming Languages

 small_blue_diamondR - good tool for visualization and statistical analysis.
   video_camera Introduction to R (Datacamp)
   📹 Data Science Specialization - coursera
   📕 An Introduction to R
   closed_book R for Data Science

 small_blue_diamondPython100
   video_camera Introduction to Python Programming
   video_camera OOP
   video_camera Arabic - Hassouna | Elzero
   video_camera Python Full Course - FreeCodeCamp on YouTube
   closed_book Intro to Python for CS and Data Science
   more in OOP
4. Pandas
   video_camera Corey Schafer-Youtube
   📕 Kaggle
   closed_book Docs
   video_camera Data School-Youtube
   📹 Arabic Course
5. Numpy
   📕 Kaggle
   video_camera Arabic Course
   closed_book Tutorial
   closed_book Docs
6. Scipy
   closed_book Tutorial
   📕 Docs
7. Data Cleaning: One of the MOST important skills that you need to master to become a good data scientist, you need to practice on many datasets to master it.
   Read this
   video_camera Course 1
   closed_book Notebook1
   closed_book Notebook2
   closed_book Notebook3
   📕 Kaggle Data cleaning
8. Data Visualization bar_chart
   video_camera Introduction to Data Visualization with Matplotlib or
   video_camera Corey Schafer - Playlist on Youtube or
   video_camera sentdex - Playlist on YouTube
   closed_book Kaggle to Data Visualization with Seaborn
   video_camera Playlist-Youtube
   video_camera Course1: Intro to Data Visualization with Seaborn
   video_camera Course2: Intermediate Data Visualization with Seaborn
   📹 Course3: Understanding and Visualizing with Python

9. EDA Note: it's already mentioned in the above probability course
   video_camera DataCamp-EDA in Python
   video_camera IBM-EDA for Machine Learning

10. Dashboards

 Power BI
   video_camera Power BI Desktop - Coursera
   📹 Power BI training
   video_camera Arabic - Youtube
 Tableau
   📕 Tutorial
   video_camera docs
   video_camera course - datacamp
   video_camera Simplilearn - Youtube

11. SQL and DB
   video_camera SQL for Data Analysis (simplilearn or Udacity)
   video_camera Intro to SQL or IBM (SQL for Data Science)
   video_camera Intro to Relational Databases in SQL
   video_camera Arabic Course
   📹 Joining Data in SQL
   memo Practice HackerRank & DataLemur

12. Python Regular Expression
   closed_book Tutorial
13. Time Series Analysis
   video_camera Track
   closed_book Book
   closed_book fbprohet
   video_camera Arabic Source Video1 & Video2

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رودمپ بسیار کامل علم داده در سه سطح مبتدی متوسط و پیشرفته

🔰 Intermediate 🔰
1. Math for ML: consists of Linear Algebra, Calculus and PCA.
📹 Mathematics for Machine Learning and Data Science - Andrew Ng
video_camera Specialization
📹 Mathematics for Machine Learning - Most of the needed basics

small_blue_diamondLinear Algebra
   video_camera Khan Academy - Linear Algebra
   📹 Mathematics for Machine Learning: Linear Algebra
   video_camera 3Blue1Brown - Essence of Linear Algebra
small_blue_diamondCalculus
   📹 Multivariate Calculus - Coursera
   video_camera Essence of calculus - Youtube
small_blue_diamondPCA
   📹 PCA - Coursera

2. Machine Learning
   video_camera Coursera - Old Course by Andrew Ng (Octave/Matlab)
   video_camera Coursera Andrew`s new ML Specialization (Python)
   video_camera Machine Learning Stanford Full Course on YouTube by Andrew
   video_camera CS480/680 Intro to Machine Learning - Spring 2019 - University of Waterloo
   📹 SYDE 522 – Machine Intelligence (Winter 2018, University of Waterloo)
   video_camera Introduction to Machine Learning Course - Udacity
   📹 Hesham Asem - Arabic content
   📹 IBM ML with Python
   video_camera Machine Learning From Scratch - YouTube (Python Engineer)
   closed_book Hands On ML (1st & 2nd & 3rd) Editions | example code 'Notebooks'
   video_camera ML Algorithms in Practice
   video_camera ML scientist
   video_camera Project

3. Web Scraping/APIs
   video_camera course
   closed_book intro2
   closed_book Tutorial
   closed_book Book for both topics
APIs
   closed_book Tutorial
   closed_book Article
   closed_book Tutorial
4. Stats.
   closed_book This stats - Book
   📕 Think Bayes - Book
5. Advanced SQL
   video_camera More advanced SQL
   video_camera Joining Data in SQL

7. Feature Engineering
   📕 Tutorial
   closed_book Article
   closed_book Book
8. interpet Shapley-based explanations of ML models.
   closed_book SHAP
   closed_book Kaggle ML explainability

After finishing this level apply to 2 or 3 good sized projects.

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رودمپ بسیار کامل علم داده در سه سطح مبتدی متوسط و پیشرفته

🔰 Advanced 🔰
1. Deep Learning
   video_camera Deep Learning Fundamentals
   📹 Introduction to Deep Learning - MIT
   video_camera Specialization
   📕 Dive into Deep Learning (En) | (Ar) version arrow_rightPart1 & Part2
   video_camera Deep Learning UC Berkely
   closed_book github of Dive into DL
   video_camera Stanford Lecture - Convolutional Neural Networks for Visual Recognition
   video_camera University of Waterloo - ML / DL

2. Tensorflow
   📹 Specialization
   video_camera Youtube
    fast.ai's Deep Learning Courses

TensorFlow beats PyTorch in visualization capabilities and deploying trained models. Go for PyTorch if you want flexibility, debugging capabilities, and short training duration.
3. PyTorch
   video_camera PyTorch (UC Berkeley - Youtube) - Lec3 (The 5 parts)
   video_camera PyTorch - Dr. Data Science - Youtube
   video_camera Pytorch Tutorial - Aladdin - Youtube
   📹 PyTorch Course (2022) - Youtube
   closed_book Deep Learning With Pytorch
   closed_book Machine Learning with PyTorch and Scikit-Learn -2022

4. Advanced Data Science
   video_camera Advanced Data Science with IBM Specialization

5. NLP
   video_camera Specialization
   video_camera Arabic - Ahmed El Sallab
   video_camera Introduction to Natural Language Processing in Python

6. Inferential Statistics
   video_camera Specialization, 2nd & 3rd courses
   video_camera course
7. Bayesian Statistics
   video_camera 1 - From Concept to Data Analysis
   video_camera 2 - Techniques and Models
   📹 3 - Mixture Models
8. Model Deployment
   📕 Flask tutorial
   video_camera TensorFlow: Data and Deployment Specialization
   video_camera Deploy Models with TensorFlow Serving and Flask
   video_camera How to Deploy a Machine Learning Model to Google Cloud - Daniel Bourke
   if you`re intersted in more deployment methods, search for (FastAPI - Heroku - chitra)

9. Probabilistic Graphical Models

   video_camera Specialization