https://medium.com/fse-ai/pytorch-909e81f54ee1

#python #pytorch #NeuralNetworks #tutorial

.

A Complete Pandas Glossary for Data Science
Your go-to resource to learn Pandas fundamentals


#python #pandas #DataScience #machineLearning #tutorial

✅ Answer ✅
TypeError − ‘tuple’ object does not support item assignment because a tuple is immutable.

#PracticeCode: 0023
🎯 FORWARD IF YOU LIKE IT 🎯

Task:
You have to create a program in which a list is given as input and you have to print the sum of 1st , last and mid element of the
list.
If the list count is even, then select the 1st, last and average of 2 elements from the middle have to be considered.

sample :-

input - [1,2,3,4,5]
output - 9

NOTE :- Without Loop.

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 #collections #dict #algorithm

ProductsList2K #dataset

Guys, those who are interested in learning ———»»» Data Wrangling «««———

using:
Pandas/Numpy/regex,

download the above data set.
Contains a set of 2000 products, quantity, category and other details.

Will post some practice tasks, which will be based on this dataset.

#python #dataset #DataWrangling

#DataWrangling : Task: 0001
🎯 »»»» FORWARD IF YOU LIKE IT «««« 🎯

Task:
Load the dataset using Pandas.

Optional Tasks:
»» Import only "Product Name, Quantity & Categories" columns
»» Load only 100 rows into the dataframe


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

🔥Ready to take this challenge? 🔥

««« Click here for the Solution »»»
#python #practiceCode #samples #DataWrangling #pandas

https://analyticsindiamag.com/facebook-releases-open-source-library-for-3d-deep-learning-pytorch3d/

#pytorch #python #deeplearning #facedetection #article #opensource

#PracticeCode: 0024
🎯 FORWARD IF YOU LIKE IT 🎯

Task:
You and your date are trying to get a table at a restaurant.
The parameter "you" is the stylishness of your clothes, in the range 0..10, and "date" is the stylishness of your date's clothes.
The result getting the table is encoded as an int value with
- 0=no,
- 1=maybe,
- 2=yes.

If either of you is very stylish, 8 or more, then the result is 2 (yes). With the exception that if either of you has style of 2 or less, then the result is 0 (no). Otherwise the result is 1 (maybe).

Sample :-
input → you = 5 , date = 10
output → 2

input → you = 5 , date = 2
output → 0

input → you = 5 , date = 5
output → 1

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 #collections #dict #algorithm

https://towardsdatascience.com/wrangling-data-with-pandas-27ef828aff01

#python #samples #DataWrangling #pandas #tutorial

Wrangling Data with Pandas (AI Adventures) ——— By Google Cloud Platform
#python #DataWrangling #pandas #tutorial #videotutorial

🖥

AI Adventures

A series of 45 videos on Machine Learning for Beginners. These videos explain the concepts related to Machine learning in simple ways, so that it gives a starting platform for beginners, who are new to Machine learning and don't know how to proceed.
#python #DataWrangling #pandas #tutorial #videotutorial #videoSeries #machineLearning

#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 »»»

🔥Ready to take this challenge? 🔥

««« Click here for the Solution »»»
#python #practiceCode #samples #DataWrangling #pandas

#PracticeCode: 0025
🎯 FORWARD IF YOU LIKE IT 🎯

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 »»»

🔥Ready to take this challenge? 🔥

#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

#ML_Project: 0001 ——— Model to Detect Fraudulent Activities
🎯 FORWARD IF YOU LIKE IT 🎯

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.

Dataset: 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 »»»

««« Click here for the Solution »»»

🔥Ready to take this challenge? 🔥
#python #machineLearning #projects #datasets #kMeans

*

#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.

Dataset: 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
««« 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 #machineLearning #projects #datasets #kMeans