Epython Lab

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Open Datasets for Research During last week there were several news about newly open datasets for researchers. 1. Twitter opened “full history of public conversation” for academics (specifically, for academics): https://www.theverge.com/2021/1/26/22250203/twitter-academic-research-public-tweet-archive-free-access We can happily conduct researches about social networks graphs, users behavior and fake news (especially fake news🙃) without fighting with Twitter API. 2. Papers with code are now also Papers with Datasets: https://www.paperswithcode.com/datasets Not for only NLP, but for all fields structured for easy search and download.

Here is a useful website to learn mathematics for free https://www.britannica.com/browse/Mathematics

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

The pre-requisite topics that you should understand before you get in to Machine learning and Data science. Mathematics:- - 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

Function definition in Python https://youtu.be/5IHXsnxdVFI

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

Why is Python so Popular? https://datacampethiopia.com/python-beginner/why-is-python-so-popular/

The Most Common Python Development Tools in 2021 https://datacampethiopia.com/the-most-common-python-development-tools-in-2021/

The Most Common Python Development tools https://datacampethiopia.com/datacampethiopia/archives/35/

"ቤዛ ኩሉ ዓለም ዮም ተወልደ" ቅዱስ ያሬድ መልካም ገና! Merry Christmas! @epythonlab

✅Start learning Python programming from zero to advanced with hands on practice. You can be a data scientist, business analyst, machine learning engineer, Data Engineer, AI expert, web designer and so on. Remember no computer science background is needed. You can start from zero. Join me for free via below links: 👉YouTube channel link:- https://www.YouTube.com/c/epythonlab/ 👉Telegram channel: https://t.me/epythonlab/

Python tutorials for absolute beginners https://www.youtube.com/playlist?list=PL0nX4ZoMtjYEIYUrD8RHLnyatotgOkqAQ #pythontutorials @epythonlab

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

#today_tip All 33 keywords in Python @epythonlab