Tag: datascience

In this article series, we will get our hands dirty with Support Vector Machines (SVM) using Scikit-Learn. We will use the use the Heart Failure clinical records data set from UCI to predict death event.

Here is the link to the article:

Machine Learning – Support Vector Machines using Scikit-Learn

Enjoy 🙂 !!!

In this article series, we are at a point to discuss feature Dimensionality Reduction using Principal Component Analysis (PCA). We will get our hands dirty with PCA using Scikit-Learn. We will use the Auto MPG data set from UCI to predict MPG after reducing the dimension.

Here is the link to the article:

Machine Learning – Principal Component Analysis using Scikit-Learn

Enjoy 🙂 !!!

In this article series, we are in the territory of unsupervised learning. We will get our hands dirty with K-Means Clustering using Scikit-Learn. We will use the Palmer Penguins data set to cluster the Penguins.

Here is the link to the article:

Machine Learning – K-Means Clustering using Scikit-Learn

Enjoy 🙂 !!!

In this article series as we continue the journey into ensemble learning, we will get our hands dirty with Gradient Boosting Machine using Scikit-Learn. We will use the Diamond Prices data set to predict the Diamond prices.

Here is the link to the article:

Machine Learning – Gradient Boosting Machine using Scikit-Learn

Enjoy 🙂 !!!

In this article series as we continue the journey into ensemble learning, we will get our hands dirty with AdaBoost using Scikit-Learn. We will use the Palmer Penguins data set to predict the Penguin species.

Here is the link to the article:

Machine Learning – AdaBoost using Scikit-Learn

Enjoy 🙂 !!!

In this article series as we continue the journey into ensemble learning, we will get our hands dirty with Random Forest using Scikit-Learn. We will use the Palmer Penguins data set to predict the Penguin species.

Here is the link to the article:

Machine Learning – Random Forest using Scikit-Learn

Enjoy 🙂 !!!

In this article series in which we are covering classification, we will get our hands dirty with Decision Trees using Scikit-Learn. We will use the Glass Identification data set from UCI to predict glass type.

Here is the link to the article:

Machine Learning – Decision Trees using Scikit-Learn

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In this article series in which we are covering classification, we will get our hands dirty with K Nearest Neighbors using Scikit-Learn. We will use the Glass Identification data set from UCI to predict glass type.

Here is the link to the article:

Machine Learning – K Nearest Neighbors using Scikit-Learn

Enjoy 🙂 !!!

In this article series covering classification, we will get our hands dirty with Naive Bayes using Scikit-Learn. We will use the Glass Identification data set from UCI to predict glass type.

Here is the link to the article:

Machine Learning – Naive Bayes using Scikit-Learn

Enjoy 🙂 !!!