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Basics of Pandas: Part 1

If you are even remotely interested in data science, this blog post will surely help you. In this post we are going to talk about Pandas. Not the cute animal, but Pandas stands for ‘Python Data Analysis’. Pandas is an open-source Python library that is built on top of NumPy. As the name suggests, it […]

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COVID-19 / Pneumonia Prediction using Deep Learning

Currently, the entire world is gripped by the fear of novel coronavirus. As of June 2020, there were over 8 million cases recorded worldwide. The pandemic has not only brought life across the globe to a standstill, but also affected the mental health of millions. What makes it worse is the fact that most people […]

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Deep Learning for Tabular Data using PyTorch

On a multiclass classification problem Deep learning has proved to be groundbreaking in a lot of domains like Computer Vision, Natural Language Processing, Signal Processing, etc. However, when it comes to more structured, tabular data consisting of categorical or numerical variables, traditional machine learning approaches (such as Random Forests, XGBoost) are believed to perform better. […]

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Building a Flower Classifier using Fast.ai

Using ResNet-34 To build our flower classifier, we are going to use the Flowers Recognition dataset provided by Kaggle. The pictures are divided into five classes: daisy, tulip, rose, sunflower, dandelion. For each class there are about 800 photos. Dividing data into Training and Validation Sets Since our data is not already segregated into training […]