India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
Exploratory data analysis is nothing but analyzing the given data and finding the trends, patterns and making some assumptions.
If you are part of the data team in any capacity, you would have heard of modern data governance issues of different kinds.
In this DataHour webinar, you will learn different ways to how to stay relevant in the booming world of AI.
We will be classifying dog-breed, X-ray, leaves diseases are not simple, and require training. We will use stacked pre-trained model.
A case study focuses to give you an idea of applying Exploratory Data Analysis (EDA) in a real business scenario.
Fast.ai is a Deep Learning framework built on top of PyTorch. We will learn how to do image classification using Fast.ai.
In this article, learn how using data augmentation, we can expand the size of the real data by several augmentation techniques.
The visualization maps are very important as they provide insight to data even for the non-technical person, analyse them using plotly.
Learn about Keyword Extraction and how it works with tools like Rake_NLTK, Spacy, Textrank, Word Cloud, KeyBert, Yake, and MonkeyLearn API .
In this article, we will look into a very simple feature analysis technique that can be used in cases such as binary classification problems.
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