Shallow Copy Duplicate as little as possible whereas Deep Copy duplicates everything. Which means, By using a shallow copy, two...

Receiver Operating Characteristic Curve, or ROC Curve. Plot of False Positive Rate (X-Axis) vs True Positive Rate (y-axis). True Positive...

Pesudo Labels as the name suggests, is the method of assigning samples labels which by-default are unlabeled. The image above clearly...

Label Smoothing is one of the many regularization techniques Formula of Label Smoothing -> y_ls = (1 - a) * y_hot + a / k k -> number of...

We'll begin with the definitions. Then we'll proceed to understandings. Finally, conclude with their applications. Precision -> True...

Using class weights, you make the classifier aware of how to treat the various classes in the cost function. In this process, you give...

Many kagglers like to work on Google Colab and Kaggle Kernels simultaneously. However, migrating the dataset to Google Colab is bit...

Sampling in lay man terms would mean a customized data distribution to solve the purpose/requirement. Sampling is an important topic of...

Dimensionality Reduction is method used to overcome the curse of dimensionality. When the number of independent features increase...

I have tried to summarize one of the most common queries. If anyone has any query, please ask in the comment section. If someone has...

Lasso & Ridge regression techniques are used to counter the overfitting which may result from the model complexity in simple linear...

Test Time Augmentations are set of image augmentation methods applied before obtaining the final predictions. Similar to Data...

Accuracy vs Loss is usually neglected. People usually consider and care about the accuracy metric while model training. However, loss is...

This webinar session will be a fund-raiser which will be entirely used in upgrading quick_ml. If you want to share your contribution...

Find the playlist @ https://www.youtube.com/playlist?list=PLGEyUE8-Tz5Vaj0Wy5h0q8Dmn55MlG1CH

Tomorrow, quick_ml Version 1.1.0 will be released. Stay tuned!

quick_ml version 1.0.0 stable version released. Please explore the package and give a lot of feedback. Package won't stop here. The...

In the comment section, add your how to queries for issues or methods you couldn't fully understand their utilization.

Using Installation This section tells us how to quickly get started with the package without any troubles. Using the Examples It's always...

version 1.0 of quick_ml coming soon.... stay tuned! Any ways, many more improvements and up-gradations to be brought. That's always on...