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Python tricks How to merge two Dicts in Python? Join https://lnkd.in/eYr_bmzR to learn more ❤ Support us by sharing it 🙏 #python

Today, employers are looking data scientists with the skills to properly prepare thier code for an industry 🏭 setting which includes testing their code. 👇👇 https://youtu.be/0heKg51lR0c 👉 In this tutorial, you'll learn about how you can test your Python 🐍 code before deployment 🥰Subscribe🥰

Numpy🥰 is the most popular library used to manipulate numerical data Here is a tutorial, to perform statistical analysis of your data 👉 https://youtu.be/cb_-745LZpg

😘How do you reduce complexity of Dictionary data while searching in Python? Fore more 👉https://youtu.be/tB6VDz4kwxY 🥰🥰 Follow Epython Lab for more contents 🥰 #complexity #data #python #machinelearning

Learning Python, 5th Edition, Updated for 3.3 and 2.7 📖 Book @epythonlab #pythonbooks

Flask is one of the best Python Framework to implement machine learning model Because it is flexible and dynamic If you are beginner to Flask, learn from scratch Sharing is caring

Develop your own Age calculator App in 🐍🐍 In this video, I'll show you how to create an age calculator in Python using the ipywidgets  on Jupyter Notebook. This calculator will allow you to pick any date of birth and get the corresponding age in years. If you're a programmer and you're looking for a fun project to work on, then this age calculator is perfect for you! By the end of this video, you'll be able to create your own age calculator in Python using the ipywidgets on Jupyter Lab. This calculator will be a useful tool for your personal or professional life! #python #jupyternotebook #agecalculater https://youtu.be/JxYW3ZEVgxM

If your data contains html tags, how do you clean it as a Data Analyst? Take a look at this short video👉👉https://youtu.be/veF0_Bgk5Aw 👉😘Subscribe on YouTube for more videos

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🤔 Think of yourself as a Data Scientist and given data to you to clean it. The data might contains unnecessary characters(i.e #*()/?@&$%\;[]{}) and you're required to remove those special characters from your data. Therefore, in this tutorial, you will be learning about how to remove special characters or punctuations from any data using three different methods. 👉https://youtu.be/CVSMl3RKERk 🙏 Don't forget to subscribe, like, and share

Best Practices of Classification Models towards Predicting Loan Type https://medium.com/@dtechane6/best-practices-of-classification-models-towards-predicting-loan-type-c510d9b0dff6

Best Practices of Classification Model towards Predicting Loan Type https://github.com/epythonlab/Predictive-analytics-for-business/tree/master/Predicting%20Default%20Risk

It's 01/01/2023 What are the concepts behind list, tuple, and dictionary? This tutorial will give you an insight about them https://youtu.be/YYzOGQCBUjo

😀 Happy New Year😘😘 This is my gift of the year. 👉👉https://t.me/epythonlab/971 Learn Python with hands-on projects by downloading this ebook. Learn 🐍🐍 in 2023. 😘😘😘cheers😊😊

POP QUIZ | Day 5: What is the output of the above code snippet? @epythonlab #popquiz

Do you want to change to a new job in 2023 as a Python Developer? Are you getting confused where do you start and what should you learn to become a Python Developer? This short video will guide you https://youtu.be/Ps9sqmgFhmU

Imagine yourself as a Data Scientist, and you have data which contains bunch of special characters. Those special characters will not be longer needed in your data. You have to clean the data by removing special characters from your data. At the end of the process, you'll have cleaned data and you can keep cleaned data for future data analysis.

🙄Beginners are getting confused about "is Python a scripting or Programming language?" Therefore, to get a better understanding before you get started Python 🐍🐍, take a look at this tutorial. https://youtu.be/ul3O7ApPQ5Q In this tutorial, you will get a better answer about your questions. #python #programming #language

😍2022 is coming to an end and we are saying that happy new year and wish you a success in 2023.❤❤ Happy new year all. Happy learning in 2023❤❤ Join https://youtube.com/epythonlab/

As a Data Scientist 👨‍🔬, we have to obtain data from different sources. Webpage is one of the sources of data and the data might be display in html table form. Our job is just scraping the table data from webpage and transform it into pandas dataframe for further data analysis. Therefore, here is a tutorial how to scrape and transform html table data from webpage to Pandas in Python 🐍🐍 https://www.youtube.com/watch?v=TTiXxN3bD-Y&list=UUsFz0IGS9qFcwrh7a91juPg