2022-07-07
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Hyperparameter optimization with Scikit-Learn GridSearchCV using different models

4 mins read Basically it is a bit difficult to manually perform grid search across different models in scikit-learn. We usually need to […]
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2022-07-03
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Visual comparison of decision boundaries for different classifiers

33 mins read There are many debates on how to decide on the best classifier. Measuring the Performance Metrics score, and getting the […]
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2022-07-01
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Handling imbalanced datasets for machine learning tasks

12 mins read You can find the implementation of codes in this post in the GitHub Gist. Introduction When observation in one class […]
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2022-07-01
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Speed up Pandas using Numba

20 mins read Numba is a very commonly used library nowadays to speed up computations in Python code. It let us speed up […]
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2022-06-26
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A complete guide on Pandas Grouping, Aggregating, and Transformation

51 mins read Introduction One of the most basic analysis functions is grouping and aggregating data. In some cases, this level of analysis […]
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2022-06-25
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Understanding Moving Average Model in Time Series with Python

10 mins read One of the foundational models for time series forecasting is the moving average model, denoted as MA(q). This is one […]
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2022-06-23
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A tutorial on Pandas apply, applymap, map, and transform

16 mins read In Data Processing, it is often necessary to perform operations (such as statistical calculations, splitting, or substituting values) on a […]
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2022-06-19
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Evaluation metrics for Multi-Label Classification with Python codes

10 mins read In a traditional classification problem formulation, classes are mutually exclusive. In other words, under the condition of mutual exclusivity, each […]
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2022-06-19
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Understanding Micro, Macro, and Weighted Averages for Scikit-Learn metrics in multi-class classification with example

11 mins read The F1 score (aka F-measure) is a popular metric for evaluating the performance of a classification model. In the case […]
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2022-06-15
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Understanding Contiguous vs Non-Contiguous Tensors in PyTorch

13 mins read Tensor and View View uses the same data chunk from the original tensor, just a different way to ‘view’ its […]
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2022-06-14
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Deploying and sharing Machine Learning projects easily using Gradio

7 mins read Students or Professionals from other streams, like business studies, practice and excel in data science. But when it comes to […]
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2022-06-13
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Detecting elbow/knee points in a graph using Python

16 mins read Theory When working with data, it is sometimes important to know where a data point’s “relative costs to increase some […]
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2022-06-03
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A complete guide on feature selection techniques with Python code

33 mins read Considering you are working on high-dimensional data that’s coming from IoT sensors or healthcare with hundreds to thousands of features, […]
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2022-05-30
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A tutorial on Scikit-Learn Pipeline, ColumnTransformer, and FeatureUnion

20 mins read These three powerful tools are must-know for anyone who wants to master using sklearn. It’s, therefore, crucial to learn how to […]
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2022-05-25
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What are skip connections in deep learning?

17 mins read Nowadays, there is an infinite number of applications that someone can do with Deep Learning. However, in order to understand […]
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2022-05-22
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Understanding np.newaxis and np.expand_dims in NumPy

9 mins read To add new dimensions (increase dimensions) to the NumPy array ndarray, you can use np.newaxis, np.expand_dims(), and np.reshape() (or reshape() method of ndarray). Indexing — NumPy v1.17 Manual Constants […]
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2022-05-08
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Encoding categorical features using the category_encoders package

11 mins read There are loads of different ways to convert categorical variables into numeric features so they can be used within machine […]
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2022-05-04
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Understand different feature scaling techniques with Python code

19 mins read In many machine learning algorithms, to bring all features in the same standing, we need to do scaling so that […]
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2022-05-01
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Speed up Python code using Numba

27 mins read Python is an interpreter-based language hence it’s slow compared to other compiler-based languages like C/C++. Due to this python was […]
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2022-04-27
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A tutorial on TensorFlow 2 and Keras: From basics to deep neural networks

49 mins read Predictive modeling with deep learning is a skill that modern developers need to know. TensorFlow is the premier open-source deep […]
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