Top Tweets for #avhackoftheday
#AVHackOfTheDay: Implement #Tokenization with the help of a library created by HuggingFace, in just 8 seconds!
With the help of the ""tokenizers"" library, we can implement today's most used tokenizers.
#AVHackOfTheDay: Convert images of any shape to a specified shape! While building #imageclassification model using #DeepLearning, it is required that all the images should be of the same size. Using the resize() function from open cv, we can achieve this.
π©βπ» #AVHackOfTheDay: Create Dummy Data for #LinearRegression in just 5 seconds! A lot of times we may need dummy data to perform experimentations and sklearn provides an easy function for this - "make_regression()" function can be used to make test dataset for linear regression
#AVHackOfTheDay: Learn #ImageAugmentation techniques in just 10 seconds! Image augmentation techniques can be used to generate new images from the existing training images, hence increasing the size of training #data.
#deeplearning
π©βπ» #AVHackOfTheDay: Learn how you can speed up your code by parallelizing Pandas operations with the help of "Pandarellel"
#python #DataScience
#AVHackOfTheDay Change the datatype of a column to DateTime at the time of reading data in just 10 seconds!
You can do this using parse_dates argument of read_csv()
#DataScience
#AVHackOfTheDay Do you know about #Jupyter Notebook's built-in magic function, "%history"? By default, all input history from the current session is displayed using %history!
#DataScience #MachineLearning
#AVHackOfTheDay Extract categorical and numeric features into seperate dataframes in just 1 line of code! This can easily be done using select_dtypes() function.
#DataScience
#AVHackOfTheDay Learn how to use MinMaxScaler() in three lines of code! We usually scale our data before employing a distance based algorithm such as KNN, SVM, etc.
#avhackoftheday
In #Python, you can use **kwargs to pass the variable number of keyword arguments to the function. To pass a variable length keyword argument just use ""**"" before the parameter name. The arguments are passed in form of a dictionary. Let us check out the example!
#avhackoftheday
regex101 is an online regex tester, debugger with highlighting for #PHP, #PCRE, #Python, #Golang and #JavaScript
Let's take up an example of testing a pattern to identify url in a string!
#machinelearning #nlp #dataanalysis #DataAnalytics
#avhackoftheday
Sklearn's plot_confusion_matrix function generates an extremely intuitive & customisable confusion matrix for classifier.
Bonus tip: You can specify format of numbers appearing in boxes using the values_format parameter('n' for whole numbers, '.2f' for float, etc)
#avhackoftheday
Create bar plot over your pandas dataframe!
It'll give you a great yet simple overview of the data in just one line of code!
#python #pandas
#avhackoftheday
How you can get the history of all commands running inside your jupyter notebook?
Use %history, jupyter notebook's built-in magic function!
Note - Even if you have cut cells in your notebook, %history will print those commands as well!
Let's see some variations!
#avhackoftheday
Do you want to to do perform quick data analysis on your dataframe?
You can use pandas profiling to generate profile report of your dataset in just 1 line of code!
#avhackoftheday You can extract categorical and numeric features into seperate dataframes in just 1 line of code! This can be done using the select_dtypes function. Let's see how!
#avhackoftheday
Most of you have might be using #tqdm to track the progress of forever running for loops. Most of the times we write complex functions having nested for loops. #tqdm allows #tracking that too.
Here is how you can track the nested loops using tdqm in python.
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#avhackoftheday
Scikit-learn has released its stable 0.23 version with new features and bug fixes.
One of the coolest features is that estimators can be visualized easily in notebooks by enabling the display='diagram' option.
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