Epython Lab
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Welcome to Epython Lab, where you can get resources to learn, one-on-one trainings on machine learning, business analytics, and Python, and solutions for business problems.

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#Discussion #Python

Why you would like to learn python? Explain your reasons?

Post to the discussion group. Let us discuss together. @pydiscussion
#Tip about Python
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Python for Bioinformatics (en).pdf
6.9 MB
Python for Bioinformatics

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#today_tip All 33 keywords in Python
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Epython Lab pinned Deleted message
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Hariom_Tatsat,_Sahil_Puri_,_Brad_Lookabaugh_Machine_Learning_and.pdf
13.6 MB
Machine Learning and Data Science Blueprints for Finance (2020)

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Python for Bioinformatics (en).pdf
6.9 MB
Python for bioinformatics, second edition

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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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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
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