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Machine Learning

#001 Machine Learning - Introduction to Machine Learning

Machine Learning

Learn about two basic approaches of the Machine Learnig: Supervised and Unsupervised learning

#002 Machine Learning – Linear regression model

LInear regression

Learn how to build a simple Linear regression model from scratch in Python

#003 Machine Learning – How to speed up a learning algorithm’s performance

ML feature scaling

Learn how to build a Linear regression model with multiple features and how to make algorithm much faster and much more powerful

#004 Machine Learning – Logistic regression model

logistic regression

Learn how to build a Logistic regression model from scratch in Python

#005 Machine Learning – Introduction to Neural Networks

neural network

Learn everything you want to know about Neural Networks

#006 Machine Learning – Building a Neural Network

neural network

Learn to construct a layer of neurons -fundamental building blocks of neural networks

#007 Machine Learning – Activation functions in Neural Networks

activation function

Learn why is so important to choose the proper activation function for your Neural Network?

#008 Machine Learning – Multiclass classification and softmax function

softmax activation function

Learn about One of the most popular activation function for the multiclass classification - the Softmax function

#009 Machine Learning – Evaluating a model

evakuation

Learn how to make decisions about what to do next in a machine learning project that can save you a lot of time

#011 Machine Learning – Decision three

Decision tree

Learn about decision trees and how to use them in your own machine learning projects

#012 Machine Learning – Introduction to Random Forest

random forest

Random forests algorithm is an ensemble learning method that operates by constructing a multitude of decision trees

#013 Machine Learning – K-means clustering

k means

Understanding K-means Clustering in Machine Learning

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