#Discussion #Python
Why you would like to learn python? Explain your reasons?
Post to the discussion group. Let us discuss together. @pydiscussion
Why you would like to learn python? Explain your reasons?
Post to the discussion group. Let us discuss together. @pydiscussion
The battle of Neighborhoods:
Investigate the similarity or
dissimilarity of New York and
Toronto City
https://www.linkedin.com/pulse/battle-neighborhoods-investigate-similarity-new-york-toronto-techane
Investigate the similarity or
dissimilarity of New York and
Toronto City
https://www.linkedin.com/pulse/battle-neighborhoods-investigate-similarity-new-york-toronto-techane
LinkedIn
The battle of Neighborhoods: Investigating the similarity or the dissimilarity of New York and Toronto City by Comparing Neighborhoods…
1. Introduction 1.
180 Data Science and Machine Learning Projects with Python
https://medium.com/coders-camp/180-data-science-and-machine-learning-projects-with-python-6191bc7b9db9
@epythonlab
https://medium.com/coders-camp/180-data-science-and-machine-learning-projects-with-python-6191bc7b9db9
@epythonlab
Forwarded from Epython Lab (Asibeh Tenager)
Subscribing will have not cost you.
https://youtu.be/gGX0PdxGtS4
https://youtu.be/gGX0PdxGtS4
YouTube
Learn Python for Data Science, ML, and AI
Subscribe to this channel and receive up-to-date Python tutorials for Data Science.
#python #datascience #machinelearning
#python #datascience #machinelearning
According to the 2020 Kaggle ML and DS survey, 80% of data scientists first learn Python. Why?
Watch "Why Python is so Popular?" on YouTube
https://youtu.be/hrOGa8XXPrk
Watch "Why Python is so Popular?" on YouTube
https://youtu.be/hrOGa8XXPrk
YouTube
What are the benefits of using Python?
In this video, we will review the high-level features of the Python programming language. We also learn why Python is so popular.
#Python #pythonprogramming #datascience
#Python #pythonprogramming #datascience
Which of the following Python tools is useful for Data Visualization.
Anonymous Quiz
11%
Numpy
13%
Pandas
35%
Matplotlib
5%
Seaborn
12%
All
16%
Option 3 & 4
9%
All except option 4
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Which one of the following tools is used for data aggregation.
Anonymous Quiz
29%
Numpy
45%
Pandas
14%
Scikit-learn
13%
Scipy
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Function definition in Python
https://youtu.be/5IHXsnxdVFI
https://youtu.be/5IHXsnxdVFI
YouTube
Python Tutorial Part-09 | Function Definition in Python
In this video tutorial, I have explained the function definition with examples. After completing this video you will be able to:
- define your own function
- define the difference between user-defined function and built-in functions
#Pythontutorial #python…
- define your own function
- define the difference between user-defined function and built-in functions
#Pythontutorial #python…
The pre-requisite topics that you should understand before you get started Data science and Machine Learning.
Mathematics:-
- covering differential calculus,
- integral calculus,
- matrices and linear algebra,
- set theory,
- differential equations,
- complex numbers,
- sequences and series,
- logic and proofs,
- multivariate calculus,
- convergence of sequences and functions,
- and partial differential equations.
Statistics:-
- covering exploratory data analysis,
- elementary probability,
- univariate random variables,
- bi-variate random variables,
- generating functions,
- statistical estimation theory,
- hypothesis testing and confidence intervals,
- and simple linear regression.
#DataScience #machinelearning #statistics #mathematics @epythonlab
Mathematics:-
- covering differential calculus,
- integral calculus,
- matrices and linear algebra,
- set theory,
- differential equations,
- complex numbers,
- sequences and series,
- logic and proofs,
- multivariate calculus,
- convergence of sequences and functions,
- and partial differential equations.
Statistics:-
- covering exploratory data analysis,
- elementary probability,
- univariate random variables,
- bi-variate random variables,
- generating functions,
- statistical estimation theory,
- hypothesis testing and confidence intervals,
- and simple linear regression.
#DataScience #machinelearning #statistics #mathematics @epythonlab
👍1