Data Science Machine Learning Data Analysis
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This channel is for Programmers, Coders, Software Engineers.

1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning

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πŸ“š Probability and Statistics (2022)

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2⃣ Download Book: https://t.iss.one/c/1854405158/366

πŸ’¬ Tags: #Probability #Statistics

USEFUL CHANNELS FOR YOU
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Free Certification Courses to Learn Data Analytics in 2025:

1. Python
πŸ”— https://imp.i384100.net/5gmXXo

2. SQL
πŸ”— https://edx.org/learn/relational-databases/stanford-university-databases-relational-databases-and-sql

3. Statistics and R
πŸ”— https://edx.org/learn/r-programming/harvard-university-statistics-and-r

4. Data Science: R Basics
πŸ”—https://edx.org/learn/r-programming/harvard-university-data-science-r-basics

5. Excel and PowerBI
πŸ”— https://learn.microsoft.com/en-gb/training/paths/modern-analytics/

6. Data Science: Visualization
πŸ”—https://edx.org/learn/data-visualization/harvard-university-data-science-visualization

7. Data Science: Machine Learning
πŸ”—https://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning

8. R
πŸ”—https://imp.i384100.net/rQqomy

9. Tableau
πŸ”—https://imp.i384100.net/MmW9b3

10. PowerBI
πŸ”— https://lnkd.in/dpmnthEA

11. Data Science: Productivity Tools
πŸ”— https://lnkd.in/dGhPYg6N

12. Data Science: Probability
πŸ”—https://mygreatlearning.com/academy/learn-for-free/courses/probability-for-data-science

13. Mathematics
πŸ”—https://matlabacademy.mathworks.com

14. Statistics
πŸ”— https://lnkd.in/df6qksMB

15. Data Visualization
πŸ”—https://imp.i384100.net/k0X6vx

16. Machine Learning
πŸ”— https://imp.i384100.net/nLbkN9

17. Deep Learning
πŸ”— https://imp.i384100.net/R5aPOR

18. Data Science: Linear Regression
πŸ”—https://pll.harvard.edu/course/data-science-linear-regression/2023-10

19. Data Science: Wrangling
πŸ”—https://edx.org/learn/data-science/harvard-university-data-science-wrangling

20. Linear Algebra
πŸ”— https://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra

21. Probability
πŸ”— https://pll.harvard.edu/course/data-science-probability

22. Introduction to Linear Models and Matrix Algebra
πŸ”—https://edx.org/learn/linear-algebra/harvard-university-introduction-to-linear-models-and-matrix-algebra

23. Data Science: Capstone
πŸ”— https://edx.org/learn/data-science/harvard-university-data-science-capstone

24. Data Analysis
πŸ”— https://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis

25. IBM Data Science Professional Certificate
https://imp.i384100.net/9gxbbY

26. Neural Networks and Deep Learning
https://imp.i384100.net/DKrLn2

27. Supervised Machine Learning: Regression and Classification
https://imp.i384100.net/g1KJEA

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #IBMDataScience #FreeCourses #Certification #LearnDataScience
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πŸƒ Stem-Leaf Plot - An intelligent visualization!

It's a simple and effective way to visualize and compare datasets.

πŸ“Š Imagine we have two datasets: Set 1 (7, 12, 14, 17, 19, 23, 25) and Set 2 (3, 11, 16, 18, 20, 21, 24). We'll use a stem-leaf plot to compare them.

🌿 First, let's create the 'stem' which represents the tens place (0, 1, 2) and the 'leaf' represents the ones place (0-9).

πŸ” By comparing the plots, we can see that Dataset 1 has higher values in the tens place, while Dataset 2 has a more uniform distribution.

🎯 Stem-leaf plots are great for small datasets and provide a clear picture of data distribution. The special thing about a stem-and-leaf diagram is that the original data can be read out of the graphical representation.


Give it a try next time you need to compare datasets!

✍🏽 Have you used stem-leaf plots before?

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #IBMDataScience #FreeCourses #Certification #LearnDataScience

https://t.iss.one/CodeProgrammer ✈️
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πŸ—‚ 10 β€œReal Data Science Portfolio” Examples

πŸ“ I've brought you 10 of the best portfolios from data science professionals, each of whom has followed a unique path! Check out these 10 and get inspired to build a strong portfolio of your own!πŸ‘‡
1️⃣ Ken Jee Portfolio | Data Scientist
▢️ Field: Sports data analysis
πŸ‘€ Link: Portfolio

2️⃣ Yassine Alouini's Portfolio | Kegel Master
▢️ Domain: Machine Learning and Kegel Competitions
πŸ‘€ Link: Portfolio

3️⃣ Tatman Portfolio | Data Scientist
▢️ Domain: Natural Language Processing (NLP)
πŸ‘€ Link: Portfolio

4️⃣ Robinson Portfolio | Data Scientist
▢️ Field: Statistical analysis and R programming
πŸ‘€ Link: Portfolio

5️⃣ Siraj Raval's Portfolio | AI Instructor
▢️ Field: Machine Learning and Artificial Intelligence
πŸ‘€ Link: Portfolio

6️⃣ Julia Silge's Portfolio | Data Scientist
▢️ Domain: Organized data and data visualization
πŸ‘€ Link: Portfolio

7️⃣ Mueller Portfolio | Developer Scikit-Learn
▢️ Field: Machine learning and open source projects
πŸ‘€ Link: Portfolio

8️⃣ Wickham Portfolio | Data Scientist
▢️ Area: R programming and data visualization
πŸ‘€ Link: Portfolio

9️⃣ Portfolio of FranΓ§ois Puget | Kegel Master
▢️ Domain: Advanced Machine Learning Techniques
πŸ‘€ Link: Portfolio

πŸ”Ÿ Emily's Portfolio | Data Analyst at Disney
▢️ Domain: Data visualization and storytelling
πŸ‘€ Link: Portfolio

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming

https://t.iss.one/CodeProgrammer 🧠
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πŸ”₯ MIT has updated its famous course 6.S191: Introduction to Deep Learning.

The program covers topics of #NLP, #CV, #LLM and the use of technology in medicine, offering a full cycle of training - from theory to practical classes using current versions of libraries.

The course is designed even for beginners: if you know how to take derivatives and multiply matrices, everything else will be explained in the process.

The lectures are released for free on YouTube and the #MIT platform on Mondays, with the first one already available

.

All slides, #code and additional materials can be found at the link provided.

πŸ“Œ Fresh lecture : https://youtu.be/alfdI7S6wCY?si=6682DD2LlFwmghew

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming  #Keras

https://t.iss.one/CodeProgrammer βœ…
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