Python Resources - Basic Python, ML, DataScience, BigData
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Forwarded from Python Projects
#DataWrangling : Task: 0002 ——————————————————— Continued from 0001
🎯 »»»» FORWARD IF YOU LIKE IT «««« 🎯

Task:
Clean the column "Product Name".
There are a lot of rows with Product Name as empty or contains some junk characters. Delete all such rows.


Optional Tasks:
»» Go through the list of Product Names and clear them of any special characters that you feel is not needed.
»» Clean up the Quantity & Categories columns by removing un-necessary special characters or junk values.


📝 ———»»» Click here for the dataset ««« ———
««« Send your solution @hbabureddy and proper solutions will be added to our Github page »»»

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#python #practiceCode #samples #DataWrangling #pandas
Forwarded from Python Projects
#PracticeCode: 0025
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Task:
There are few sweet Birds which like to play a lot. But there has to be a certain
weather condition so they can play freely. It's most suitable when the temperature
is between 60 to 90 , unless it's summer , in summer upper limit is increased to
100.

You have to create a program to check whether it's suitable for birds to play or not.
Take two inputs 1st temperature and 2nd for if it's summer in form of "Yes" or
"No". Than print output it's suitable or not.

Sample :-

input → Temp = 70 , Summer = NO
output → True

input → Temp = 95 , summer = No
output → False

input → Temp = 95 , summer = Yes
output → True

GOOD LUCK!

««« Discuss your solution @python_programmers_club and proper solutions will be added to our Github page »»»

««« Click here for the Solution »»»

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#python #practiceCode #samples #interviewQuestions #conditions
Python Module Summaries

View the dependencies and sub-dependencies of every Python module on the Python Package Index (PyPI) as a collapsible tree along with a summary.
Get an immediate understanding of any modules's features and the problems it can solve.

#python #tools #modules
Forwarded from Python Projects
#ML_Project: 0001 ——— Model to Detect Fraudulent Activities
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Task: Using k-means clustering, you can build a model to detect fraudulent activities. K-means clustering is an unsupervised Machine learning algorithm. It separates the observations into k number of clusters based on the similar patterns in the data.

Data
set: Enron email dataset
Enron Email Dataset is famous in natural language processing. It has more than 500K emails of over 150 users. The size of the data is around 432Mb. Out of 150 users, most are the senior management of Enron.

««« Discuss your solution @python_programmers_club and proper solutions will be added to our Github page »»»

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#python #machineLearning #projects #datasets #kMeans
Forwarded from Python Projects
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#ML_Project: 0002 ——— 🎯 FORWARD IF YOU LIKE IT 🎯

Build a Chatbot


Task:
You can build a chatbot or understand the working of a chatbot by twisting and expanding the data with your observations. To build a Chatbot of your own, you need to have a good knowledge of Natural language processing concepts.

Data
set: Chatbot Intents Dataset
The Chatbot dataset is a JSON file that has disparate tags like goodbye, greetings, pharmacy_search, hospital_search, etc. Every tag has a list of patterns that a user can ask, and the chatbot will respond according to that pattern. The dataset is perfect for understanding how chatbot data works.

Reference: Click here
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#python #machineLearning #projects #datasets #kMeans
Forwarded from Python Questions
Consider the following sequence of statements:
n = 300
m = n Following execution of these statements, Python has created how many objects and how many references?
Anonymous Quiz
19%
Two objects, two references
35%
One object, two references
29%
Two objects, one reference
17%
One object, one reference
Forwarded from Python Projects
#PracticeCode: 0026
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Task:
Given a day of the week encoded as 0=Sun, 1=Mon, 2=Tue, ...6=Sat, and a boolean indicating if we are on vacation, return a string of the form "7:00" indicating when the alarm clock should ring. Weekdays, the alarm should be "7:00" and on the weekend it should be "10:00". Unless we are on vacation -- then on weekdays it should be "10:00" and weekends it should be "off".

Sample :-

input → weekday = 1 , vacation = False
output → '7:00'

input → weekday = 5 , vacation = False
output → '7:00'

input → weekday = 0 , vacation = False
output → '10:00'

GOOD LUCK!

««« Discuss your solution @python_programmers_club and proper solutions will be added to our Github page »»»

««« Click here for the Solution »»»

🔥Ready to take this challenge? 🔥

#python #practiceCode #samples #interviewQuestions #conditions