Introduction to Plotly🤩 | Part-1 | Data Visualization in Python | Advantages of plotly

Publié le: 25 novembre 2021
sur la chaîne: DS Bridge

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Plotly is a Data Visualization library. It is actually written in JavaScript but in this video series, we are going to use a python wrapper library that means we are going to write code in python and it will produce a JavaScript plot.
Plotly has a lot of advantages among other python visualization libraries.
In this video series, we are going to cover plotly from basics to advance level. Please watch all the videos to become used to with plotly.
And if you are preparing for a data science interview hen don’t forget to watch my “Crack Data Science Interview Playlist” below.

Crack Data Science Interview:
1. Top 5 interview questions(Part-01):    • Top 5 Interview Questions for Data Scienti...
2. Top 5 interview questions(Part-02):    • Top-5 Interview Questions for Data Scienti...
3. Top 5 interview questions(Part-03):    • #Top 5 question From Regression metrics | ...
4. Top 5 interview questions(Part-04):    • Important interview questions for Data sci...
5. Top 5 interview questions(Part-05):    • Interview Questions of Feature Engineering...
6. Top 5 interview questions(Part-06):    • #Interview Questions from #Accuracy | #Con...
7. Top 5 interview questions(Part-07):    • Regularization Questions asked in Data Sci...
8. Top 5 interview questions(Part-08):    • Model accuracy  vs model performance |Grid...
Linear Regression:
1.Linear Regression Assumption:    • Linear Regression | Basics | Assumption | ...
2.Covariance and Correlation:    • How Correlation solves the problem of cova...
3.Measure the quality of fit:    • How to measure the quality of best fit in ...
4.Coefficient of correlation and coefficient of determination:    • Difference between Coefficient of correlat...
5. Implementation of Linear Regression code with Numpy:    • Implementation of Linear Regression |Pytho...

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