2020-04-25
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Styling Pandas DataFrames using Style API

10 mins read Python’s Pandas library allows you to present tabular data in a similar way as Excel. What’s not so similar is […]
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2020-04-20
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Understanding the probabilistic interpretation of linear regression

6 mins read Linear regression is about finding a linear model that best fits a given dataset. For example, in a simple linear […]
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2020-03-19
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Understanding Beta Distribution

9 mins read When to use Beta distribution The Beta distribution is a probability distribution on probabilities. For example, we can use it to model […]
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2020-03-13
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The intuition behind Shapley Values

10 mins read The first time I heard about Shapley values was when I was reading up on model interpretability. I came across […]
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2020-02-21
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Walkthrough of an exploratory analysis for classification problems

20 mins read In this post, I’ll outline how to perform an exploratory analysis for a binary classification problem. I am going to […]
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2020-02-05
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Dealing with imbalanced data in machine learning

8 mins read Imbalanced classes are a common problem in machine learning classification where there is a disproportionate ratio of observations in each […]
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2020-02-03
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List of useful tutorials for Exploratory Data Analysis (EDA)

< 1 min https://towardsdatascience.com/exploratory-data-analysis-8fc1cb20fd15 https://medium.com/omarelgabrys-blog/statistics-probability-exploratory-data-analysis-714f361b43d1 https://www.kaggle.com/ekami66/detailed-exploratory-data-analysis-with-python https://www.kaggle.com/dvigneshwer/kernele7f4dbb964/notebook Visualizing the distribution of a dataset — seaborn 0.10.0 documentationhttps://seaborn.pydata.org/tutorial/distributions.html https://www.kaggle.com/kashnitsky/topic-1-exploratory-data-analysis-with-pandas https://iq.opengenus.org/exploratory-data-analysis-python/ Plotting with categorical data […]
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2020-02-03
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Types of Data & Measurement Scales: Nominal, Ordinal, Interval and Ratio

6 mins read There are four measurement scales: nominal, ordinal, interval, and ratio. These are simply ways to categorize different types of variables […]
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2020-01-30
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Using Kaggle Datasets in Google Colab

< 1 min Steps: Create an API key in Kaggle.To do this, go to kaggle.com/ and open your user settings page.  Next, scroll […]
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2020-01-30
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Getting Started With Google Colab

5 mins read If you want to create a machine learning model but say you don’t have a computer that can take the […]
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2020-01-30
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Understanding Gated Recurrent Unit (GRU) with PyTorch code

21 mins read The Gated Recurrent Unit (GRU) is the younger sibling of the more popular Long Short-Term Memory (LSTM) network, and also a […]
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2020-01-30
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Understanding Long Short-Term Memory Networks (LSTM) with PyTorch codes

24 mins read LSTMs are a particular variant of RNNs, therefore having a grasp of the concepts surrounding RNNs will significantly aid your […]
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2020-01-28
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Recurrent Neural Networks (RNN) with PyTorch

22 mins read Recurrent Neural Networks(RNNs) have been the answer to most problems dealing with sequential data and Natural Language Processing(NLP) problems for […]
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2020-01-28
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A complete guide to Python’s magic methods with example

33 mins read Introduction What are magic methods? They’re everything in object-oriented Python. They’re special methods that you can define to add “magic” […]
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2020-01-18
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How to use tense of English verbs in different sections of a scientific article

6 mins read One of the concerns of the researchers writing in English is choosing the correct tense for the verbs. In many […]
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2020-01-16
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A tutorial on derivatives: definitions, notation, and rules

28 mins read A derivative is a function that measures the slope.  It depends upon x in some way and is found by […]
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2020-01-16
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Common regression loss functions with Python code

14 mins read All the algorithms in machine learning rely on minimizing or maximizing a function, which we call “objective function”. The group […]
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2020-01-15
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Understanding Object Detection using YOLO with Python implementation

21 mins read Introduction How easy would our life be if we simply took an already designed framework, executed it, and got the […]
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2020-01-14
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Understanding the fundamentals of Deep Learning and Convolution Neural Networks with Keras codes

55 mins read Introduction Did you know the first neural network was discovered in the early 1950s? Deep Learning (DL) and Neural Network […]
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2020-01-13
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RCNN, Fast RCNN, and faster RCNN algorithms for Object Detection Explained

23 mins read Table of Contents A Simple Way of Solving an Object Detection Task (using Deep Learning) Understanding Region-Based Convolutional Neural Networks […]
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