Top Tweets for #pythonchilla
Automate feature selection by using:
1- mRMR
2- Boruta
Implementation:
https://t.co/36wcG6GLjc
#python #pythonchilla #codanics #campusx #machinelearning #artificialintelligence #FeatureSelection #featureengineering
Ever got confused on what Graph to use for Uni, Bi or Multi-variate analysis? Take a look
A Thread π§΅π
#codanics #campusx #python #datascience #pythonchilla #pythonprogramming #DataAnalytics #DataVisualization #pakdatasci #pythonkachilla2 #MachineLearning #visualization
Are you aware of "Walrus Operator"?
It's represented by ":=" a colon followed by the equal sign. It assigns and returns value at the same time.
NOTE: It was introduced in Python 3.8
#python #codanics #pythonprogramming #DataScience #programming #pythonchilla #pythonkachilla2
Data Visualization Libraries
When to use them? Here's a quick guide
#pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #datavisualization #codanics #pythonchilla #DataAnalytics
To improve your data analysis skills, I would suggest you choose a course from Coursera known as Google Data Analytics.
#python #datascience #pythonchilla #DataAnalytics #DataVisualization #pakdatasci #MachineLearning #Google
@aammar_tufail
#Codanics
https://t.co/etw9z5V0dV
Did you know you can get a prediction of your next code while you are writing it with AI?
GitHub's copilot
#python #datascience #pythonchilla #DataAnalytics #DataVisualization #pakdatasci #MachineLearning #github
@aammar_tufail
#Codanics
https://t.co/nnXCVm4RDY
DATA WRANGLING STEPS
A thread π§΅.
#python #codanics #pythonprogramming #DataScience #programming #pythonchilla #pythonkachilla2
Letβs Understand All About Data Wrangling!
A thread π§΅.
#python #codanics #pythonprogramming #DataScience #programming #pythonchilla #pythonkachilla2
The Zen of Python (PEP 20) is a set of nineteen aphorisms by Tim Peters that serve as guiding principles for Pythonβs design.
A Thread π§΅π
#python #codanics #pythonprogramming #DataScience #programming #pythonchilla #pythonkachilla2 #zenofpython #pep20
Did you know Giants like Google, Meta, Netflix etc. uses EDA to clean their data
#python #datascience #pythonchilla #DataAnalytics #DataVisualization #pakdatasci #MachineLearning
@aammar_tufail
#codanics
Today, let's discuss a machine learning algorithm; "SUPERVISED ALGORITHM"
In the π§΅π, we'll examine its mathematical representation, example, and additional classification.
#python #datascience #pythonchilla #DataAnalytics #pakdatasci #MachineLearning #codanics #EACADEMY
Did you know you can work on SQL with VS Code IDE, By just downloading MySQL extension into it? You are good to go
#python #datascience #pythonchilla #DataAnalytics #DataVisualization #pakdatasci #MachineLearning
@aammar_tufail
#codanics
https://t.co/ONC5jcD2Uo
Useful Python Tricks: Part 2 π§΅π
1- Unpacking
2- *Args (Arguments)
3- **Kwargs (Keyword Arguments)
4- *Args and **Kwargs
5- Lambda
6- Map
7- Filter
8- Reduce
#python #codanics #pythonprogramming #DataScience #programming #pythonchilla #pythonkachilla2
Did you know you can make a research paper ready to publish graphs from excel?
if not so check this out:
#python #datascience #pythonchilla #DataAnalytics #DataVisualization #pakdatasci #MachineLearning
@aammar_tufail
#codanics
https://t.co/5CHt6tLNuU
Useful Python Tricks π§΅π
1- Ternary Operators
2- List Comprehension
3- Enumerate Function
4- Zip Function
5- Default Dictionary
6- Merge Dictionaries
7- Match
#python #codanics #pythonprogramming #DataScience #programming #pythonchilla #pythonkachilla2
To get your Data Science project π»off to the perfect start, let's quickly review the basic categories of machine learning algorithms.
#python #datascience #pythonchilla #DataAnalytics #DataVisualization #pakdatasci #MachineLearning #visualization #codanics #EACADEMY
Julia is better than Python?
A thread π§΅
#python #pythonprogramming #pythonic #codanics #pythonchilla #pakdatasci #datascience
Ever got confused on what Graph/Chart to use on what occasion? Don't worry I've got you covered.
A Thread π§΅π
#codanics #python #datascience #pythonchilla #pythonprogramming #DataAnalytics #DataVisualization #pakdatasci #pythonkachilla2 #MachineLearning #visualization
Optimal pythonic method for finding the minimum value.
Code now works for numbers, strings (alphabetical), tuples, lists, sets and dictionaries (values).
Thanks to Mr. Henk for improving it. https://t.co/2i0E355Poq
#python #pythonprogramming #pythonic #codanics #pythonchilla
We've all heard how Python makes coding easier.
Here's one example of how you can turn a Minimum number finding function into an ~almost one-liner function.
We call it the "Pythonic Method".
#python #pythonprogramming #pythonic #codanics #pythonchilla #pakdatasci #datascience
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