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JC Chouinard
05  mai     04h13
Machine Learning (ML) Complete Guide
Jean-Christophe Chouinard    This introduction to machine learning tutorial will give you the theory and the tools to help you learn what is machine learning What is Machine Learning Machine learning ML is the use of computer algorithms and statistical methods to help computers learn and make decisions from data without
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Boosting in Machine Learning
Jean-Christophe Chouinard    Boosting is an ensemble learning method used in supervised learning that converts weak learners into strong learners by having each predictor fix the errors of its predecessor Boosting can be used in classification and regression problems Weak Learners VS Strong Learners A weak learner is a
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Hierarchical Clustering in Python
Jean-Christophe Chouinard    Hierarchical clustering is a machine learning algorithm often used in unsupervised learning for clustering problems In this tutorial we will learn how the hierarchical clustering algorithms work and how to use Python and SciPy to group data into clusters as in the example below What is
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Ensemble Learning Algorithms
Jean-Christophe Chouinard    Ensemble learning is a supervised learning technique used in machine learning to improve overall performance by combining the predictions from multiple models Each model can be a different classifier K Nearest Neigbour KNN Decision Tree Logistic Regression How does Ensemble Learning Work
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Decision Trees in Machine Learning
Jean-Christophe Chouinard    Decision trees are predictive machine learning models that use simple binary rules to predict the value of a target variable What is a Decision Tree A Decision tree is a data structure consisting of a hierarchy of nodes that can be used for supervised learning and unsupervised learning problems
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PCA: Principal Component Analysis using Python
Jean-Christophe Chouinard    In this tutorial you will learn about the PCA machine learning algorithm using Python and Scikit learn What is Principal Component Analysis PCA PCA or Principal component analysis is the main linear algorithm for dimension reduction often used in unsupervised learning This algorithm
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Clustering and De-duplication of web pages using KMeans and TF-IDF
Jean-Christophe Chouinard    In this project we will learn how to use Python to cluster URLs from Google Search Console by analysing the queries that each page ranks for in Google We will use KMeans and TF IDF to identify category groupings and potential duplicated pages This tutorial is Part of a series on using
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What is KMeans Clustering Complete Guide
Jean-Christophe Chouinard    Kmeans is a machine learning algorithm often used in unsupervised learning for clustering problems It is a method that calculates the Euclidean distance to split observations into k clusters in which each observation is attributed to the cluster with the nearest mean cluster centroid In this
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Clustering in Machine Learning
Jean-Christophe Chouinard    Clustering in machine learning is an unsupervised learning set of algorithms that divide objects into similar clusters based on similar characteristics What is Clustering in Machine Learning Clustering is used to group similar data points together based on their characteristics Clustering
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Dimension reduction in Machine Learning
Jean-Christophe Chouinard    Dimensionality reduction or dimension reduction is a machine learning data transformation technique used in unsupervised learning to bring data from a high dimensional space into a low dimensional space retaining the meaningful properties of the original data In a nutshell dimension reduction