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80 Python Interview Questions.pdf
410.4 KB
- Covers frequently asked questions in Python interviews
#Python #DataScience #Programming #InterviewPrep #Coding #PythonInterview #TechInterview #DataScientist #PythonProgramming #LearnPython #CodeNewbie #CareerGrowth #TechJobs #PythonCode #PythonTips
https://t.me/CodeProgrammer
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Applied Machine Learning in Python: a Hands-on Guide with Code π§
π Exciting news! free, online e-book has been updated with fresh theory π , detailed illustrations π¨ , well-documented demos π , links to YouTube lectures π₯, and interactive dashboards π !
Each chapter is downloadableπ₯ , making it easy for you to dive in, learn, and complete your #DataScience projects efficiently! π§βπ»
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Each chapter is downloadable
Explore it now: https://geostatsguy.github.io/MachineLearningDemos_Book/intro.html
#DeepLearning #Python #MachineLearning #AI #DataAnalytics #TechEducation #FreeLearning #Ebook #DataVisualization #Coding #STEM #TechCommunity #LearnToCode
https://t.me/CodeProgrammer
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π Dive into the world of Transformers and Self-Attention with one of YouTube's best-kept secrets! π§ β¨ Nobody breaks down complex AI concepts like Professor Bryce β his passion for teaching and dedication to clarity make every lesson unforgettable. π‘π
Whether you're an AI enthusiast, a machine learning student, or just curious about cutting-edge tech, this video is a *must-watch*. Get ready to level up your understanding of how Transformers work in the most engaging way possible! π
π Watch here: YouTube Video
#AI #MachineLearning #DeepLearning #Transformers #SelfAttention #ArtificialIntelligence #TechEducation #LearnAI
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Whether you're an AI enthusiast, a machine learning student, or just curious about cutting-edge tech, this video is a *must-watch*. Get ready to level up your understanding of how Transformers work in the most engaging way possible! π
π Watch here: YouTube Video
#AI #MachineLearning #DeepLearning #Transformers #SelfAttention #ArtificialIntelligence #TechEducation #LearnAI
https://t.me/CodeProgrammer
Free Certification Courses to Learn Data Analytics in 2025:
1. Python
π https://imp.i384100.net/5gmXXo
2. SQL
π https://edx.org/learn/relational-databases/stanford-university-databases-relational-databases-and-sql
3. Statistics and R
π https://edx.org/learn/r-programming/harvard-university-statistics-and-r
4. Data Science: R Basics
πhttps://edx.org/learn/r-programming/harvard-university-data-science-r-basics
5. Excel and PowerBI
π https://learn.microsoft.com/en-gb/training/paths/modern-analytics/
6. Data Science: Visualization
πhttps://edx.org/learn/data-visualization/harvard-university-data-science-visualization
7. Data Science: Machine Learning
πhttps://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning
8. R
πhttps://imp.i384100.net/rQqomy
9. Tableau
πhttps://imp.i384100.net/MmW9b3
10. PowerBI
π https://lnkd.in/dpmnthEA
11. Data Science: Productivity Tools
π https://lnkd.in/dGhPYg6N
12. Data Science: Probability
πhttps://mygreatlearning.com/academy/learn-for-free/courses/probability-for-data-science
13. Mathematics
πhttp://matlabacademy.mathworks.com
14. Statistics
π https://lnkd.in/df6qksMB
15. Data Visualization
πhttps://imp.i384100.net/k0X6vx
16. Machine Learning
π https://imp.i384100.net/nLbkN9
17. Deep Learning
π https://imp.i384100.net/R5aPOR
18. Data Science: Linear Regression
πhttps://pll.harvard.edu/course/data-science-linear-regression/2023-10
19. Data Science: Wrangling
πhttps://edx.org/learn/data-science/harvard-university-data-science-wrangling
20. Linear Algebra
π https://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra
21. Probability
π https://pll.harvard.edu/course/data-science-probability
22. Introduction to Linear Models and Matrix Algebra
πhttps://edx.org/learn/linear-algebra/harvard-university-introduction-to-linear-models-and-matrix-algebra
23. Data Science: Capstone
π https://edx.org/learn/data-science/harvard-university-data-science-capstone
24. Data Analysis
π 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
https://t.me/CodeProgrammerβοΈ
1. Python
π https://imp.i384100.net/5gmXXo
2. SQL
π https://edx.org/learn/relational-databases/stanford-university-databases-relational-databases-and-sql
3. Statistics and R
π https://edx.org/learn/r-programming/harvard-university-statistics-and-r
4. Data Science: R Basics
πhttps://edx.org/learn/r-programming/harvard-university-data-science-r-basics
5. Excel and PowerBI
π https://learn.microsoft.com/en-gb/training/paths/modern-analytics/
6. Data Science: Visualization
πhttps://edx.org/learn/data-visualization/harvard-university-data-science-visualization
7. Data Science: Machine Learning
πhttps://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning
8. R
πhttps://imp.i384100.net/rQqomy
9. Tableau
πhttps://imp.i384100.net/MmW9b3
10. PowerBI
π https://lnkd.in/dpmnthEA
11. Data Science: Productivity Tools
π https://lnkd.in/dGhPYg6N
12. Data Science: Probability
πhttps://mygreatlearning.com/academy/learn-for-free/courses/probability-for-data-science
13. Mathematics
πhttp://matlabacademy.mathworks.com
14. Statistics
π https://lnkd.in/df6qksMB
15. Data Visualization
πhttps://imp.i384100.net/k0X6vx
16. Machine Learning
π https://imp.i384100.net/nLbkN9
17. Deep Learning
π https://imp.i384100.net/R5aPOR
18. Data Science: Linear Regression
πhttps://pll.harvard.edu/course/data-science-linear-regression/2023-10
19. Data Science: Wrangling
πhttps://edx.org/learn/data-science/harvard-university-data-science-wrangling
20. Linear Algebra
π https://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra
21. Probability
π https://pll.harvard.edu/course/data-science-probability
22. Introduction to Linear Models and Matrix Algebra
πhttps://edx.org/learn/linear-algebra/harvard-university-introduction-to-linear-models-and-matrix-algebra
23. Data Science: Capstone
π https://edx.org/learn/data-science/harvard-university-data-science-capstone
24. Data Analysis
π 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
https://t.me/CodeProgrammer
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What is the biggest obstacle to your success in your academic and scientific career?
Anonymous Poll
40%
Poverty and lack of money
25%
Poor quality of education
46%
Laziness and procrastination
14%
Social, political and security problems
12%
Excessive desire (lust)
27%
Inability to concentrate
15%
Emotional problems
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Python, Bash and SQL Essentials for Data Engineering Specialization
What you'll learn
Develop #dataengineering solutions with a minimal and essential subset of the Python language and the Linux environment
Design scripts to connect and query a #SQL #database using #Python
Use a #scraping library in Python to read, identify and extract data from websites
Enroll Free: https://www.coursera.org/specializations/python-bash-sql-data-engineering-duke
https://t.me/CodeProgrammer
What you'll learn
Develop #dataengineering solutions with a minimal and essential subset of the Python language and the Linux environment
Design scripts to connect and query a #SQL #database using #Python
Use a #scraping library in Python to read, identify and extract data from websites
Enroll Free: https://www.coursera.org/specializations/python-bash-sql-data-engineering-duke
https://t.me/CodeProgrammer
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