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. Buy ads: https://telega.io/c/epythonlab
Больше6 205
Подписчики
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Архив постов
6 202
What will be the output of the following code?
print(float(True))?
Check solution at the comment box
6 202
How do you check the type data store in a variable?
https://www.youtube.com/watch?v=4j80OYDipQI&list=UUsFz0IGS9qFcwrh7a91juPg&index=64
6 202
Which is the fastest method to create new list from the existing list?
6 202
How do you get data from website? What tools you are mostly use to scrape data from website? Which one is best scraping tool? Web Scraping Project using BeautifulSoup, Watch now
https://youtu.be/hsRTxmQRClE
6 202
Parsing New York Data, Data Science Project, EPISODE 04
Don't forget to subscribe and share
https://www.youtube.com/watch?v=1GAjsJEoU5o&list=PL0nX4ZoMtjYEpWYxr4peqggg8Kz7CLYu4&index=4
6 202
I'm curious🤭 about statistics Vs Probability
Here, I have made some tutorials about probability distribution for Machine learning using Scipy Python library https://www.youtube.com/playlist?list=PL0nX4ZoMtjYEl_1ONxAZHu65DPCQcsHmI
6 202
Repost from Epython Lab
Are you passionate to work of real data and implementing any one of machine learning algorithms? Take a look at this: https://www.youtube.com/watch?v=mjMmkGza-7o&list=PL0nX4ZoMtjYEpWYxr4peqggg8Kz7CLYu4
6 202
Watch the videos above if you're confused about the answer.
is left_df.merge(right_df, on="column_name") ?
6 202
Merging multiple data together
https://www.youtube.com/watch?v=rbNGufU14vM&list=PL0nX4ZoMtjYEpWYxr4peqggg8Kz7CLYu4&index=3
6 202
Data Cleansing Part I
Data Science Real World Project: The battle of Neighborhoods
EPISODE 02
https://www.youtube.com/watch?v=9XYnq_Y3yxY&list=UUsFz0IGS9qFcwrh7a91juPg&index=1
6 202
I give special training on your favourite topics via zoom. Select your topic that you would like to know about.
Send the topic:
Your name:
Country:
Time Zone:
How much hours per day:
to @asibehtenager
6 202
As a data scientist 70-80 percent of your time spending on data cleansing. If you have given data which contains special characters and you may need to avoid those special characters, what methods do you use to avoid it?
https://youtu.be/qL7lX5lCfgw
