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Upvote 1+ Share: A Project-Based Machine Learning Guide Where We Will Be Faring Different Classification Algorithms Against Each Other, Comparing Their Accuracy & Time Taken for Training and Inference. In the last part of...
Upvote 5+ Google Colab is an extremely useful tool if you want to skip setting up an environment for your deep learning, image processing, Python, etc. projects as it provides cloud-based service. This article...
Upvote 6+ A Detailed Guide on How to Use Image Augmentation in PyTorch to Give Your Models a Data Boost. In the last few years, there have been some major breakthroughs and developments in...
Upvote 4+ WORD CLOUDS / TEXT CLOUDS Searching for important keywords in the entire article or post is quite a difficult job, but no more, a word cloud is here to save your day....
Upvote 3+ Bar chart race function in python A bar chart race changes the sequence of bars in an animated way. The data values keep changing every second in ascending and descending order as...
This tutorial discusses and shows code by code of Seaborn using Python.
Upvote 2+ The confusion matrix is basically used to know the performance measurement of a trained(fit) classification model. It tells the Data Scientists as to where they stand with respect to the number of...
Upvote 3+ In my previous Pandas tutorial, I discussed in-depth about the basics of Pandas such as importing pandas in python, doing mathematical calculations, accessing data frames, adding labels to the data series, etc...
Upvote 1+ Pandas is another powerful and flexible library of Python which is mainly used for Data Management, Data Analysis, etc. Pandas are often considered as a replacement for the much-used data or database...
Upvote 0 Is Julia revolutionizing the landscape of Machine & Deep Learning All programming languages were built to serve a certain purpose. The ascent of Julia was for the field of data analytics, and...
