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Python · Machine Learning

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Quality, author-led articles on Python & machine learning. Learn how to eat through topics, calmly, deeply, and without the noise.

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machine learning

Principle Component Analysis in Machine Learning

In machine learning to achieve higher accuracies and performance of the model, the data quality plays a major role while enhancing the model. If good quality data with meaningful f…

Parth Shukla

Ml wizard

data visualization

Beyond the Basics: Unconventional Uses of Seaborn Heatmaps for Data Visualization

Heatmaps can bring your data to life. Versatile and eye-catching. There are many situations where they can highlight important relationships in your data. Specifically, we will discuss how you can …

Abdul Khan

Data scientist

mathematics

Eigen Decomposition in Machine Learning

Matrix decomposition in linear algebra is one of the most valuable techniques for reducing the matrix into smaller parts. In matrix decomposition, the eigendecomposition is a fundamental concept th…

Parth Shukla

Ml wizard

machine learning

Data Scaling Techniques in Machine Learning

Data and its quality affect machine learning models and their accuracy, and the quality of the data can not be well in some types of problems which can be solved by machine learning. Here the scale…

Parth Shukla

Ml wizard

machine learning

AdaBoost vs. Naive Bayes Algorithms in Machine Learning

In machine learning, the algorithm plays a significant role while training and building a successful model. According to the data and its behavior, a proper machine learning algorithm should be sel…

Parth Shukla

Ml wizard

machine learning

Logistic Regression vs. K Nearest Neighbors in Machine Learning

In machine learning, using an appropriate algorithm according to the behavior of the data and its pattern is an essential thing to achieve higher accuracies and accurate performing models. Many mac…

Parth Shukla

Ml wizard

machine learning

Linear Regression vs. Decision Trees vs. Support Vector Machines

Machine Learning algorithms are one of the most important things to decide during model training and building. All the datasets and problem statements related to that in machine learning are not th…

Parth Shukla

Ml wizard

machine learning

10 Classification Cost Functions in Machine Learning

Cost functions in machine learning measure the performance of the machine learning algorithm trained on a particular dataset. By measuring the cost function or cost for a specific model, we can eas…

Parth Shukla

Ml wizard

deep learning

ReLU Activation Function and Its Variants

Activation functions in deep learning are the functions that decide the output from node or hidden layers from a given set of inputs in neural networks. There are many activation functions used in …

Parth Shukla

Ml wizard

data science

How to Frame a Machine Learning Problem | Design Your Data Science Project

Machine learning is the concept that a computer program can learn and adapt to new data without human intervention. It is a sub-field of artificial intelligence that keeps a computer’s built-in alg…

Parth Shukla

Ml wizard

machine learning

Blending Algorithms in Machine Learning

The Ensemble technique is one of the best-performing techniques used in the field of machine learning for getting better results on complex types of datasets. There are many ensemble techniques ava…

Parth Shukla

Ml wizard

data engineering

Choosing the right database(RDBMS) for Data analyst?

Which database is best? The question, obviously, depends on what you want to use it for. …

Abdul Khan

Data scientist