Machine Learning Tutorials

1

An Introduction to Machine Learning | The Complete Guide

We are now living in the age of data. Every day we are producing immense data you can not even think of! According to some statist...
Machine Learning Read more
2

Data Preprocessing for Machine Learning | Apply All the Steps in Python

Data Preprocessing: Data Prepossessing is the first stage of building a machine learning model. It involves transforming raw data...
Machine Learning Read more
3

Regression

Regression: Basically, Regression is a statistical approach to find the correlations between variables(dependent and independent)....
Machine Learning Read more
4

Learn Simple Linear Regression in the Hard Way(with Python Code)

Regression models try to fit the best line to a set of observed data points. While simple linear models use a straight line, other...
Machine Learning Read more
5

Multiple Linear Regression in Python (The Ultimate Guide)

In this tutorial, we are going to understand the Multiple Linear Regression algorithm and implement the algorithm with Python.Tuto...
Machine Learning Read more
6

Polynomial Regression in Two Minutes (with Python Code)

If you have worked with linear regression models such as simple linear regression or multiple linear regression, you might have...
Machine Learning Read more
7

Support Vector Regression Made Easy(with Python Code)

Probably you haven't heard much about Support Vector Regression aka SVR. I don't know why this absolutely powerful regression algo...
Machine Learning Read more
8

Decision Tree Regression Made Easy (with Python Code)

In this tutorial, we are going to understand the decision tree regression and implement it in Python What is a Decision Tree?...
Machine Learning Read more
9

Random Forest Regression in 4 Steps(with Python Code)

In this tutorial, we will understand the decision tree regression algorithm and implement it in Python.What is a Random Forest?Ran...
Machine Learning Read more
10

4 Best Metrics for Evaluating Regression Model Performance

The performance of a regression model can be understood by knowing the error rate of the predictions made by the model. You can al...
Machine Learning Read more
11

Classification

Classification: Classification is a machine learning task of predicting the value of a categorical variable(target or class). This...
Machine Learning Read more
12

A Beginners Guide to Logistic Regression(with Example Python Code)

In this article, we will go through the concept of logistic regression, a simple classification algorithm. Then we will implement...
Machine Learning Read more
13

K-Nearest Neighbor in 4 Steps(Code with Python & R)

There is a proverb- "Birds of a feather flock together" It means same things remain in a common group. I don't know where this p...
Machine Learning Read more
14

Support Vector Machine(SVM) Made Easy with Python

Support Vector Machine is one of the popular machine learning algorithms. I assume you have already learned the other classificati...
Machine Learning Read more
15

Kernel SVM for Dummies(with Python Code)

In this tutorial, we are going to introduce the Kernel Support Vector Machine and how to implement it in Python. Kernel SVM Intui...
Machine Learning Read more
16

Naive Bayes Classification Just in 3 Steps(with Python Code)

Naive Bayes provides a probabilistic approach to solve classification problems. Extending the Bayes Theorem, this algorithm is one...
Machine Learning Read more
17

Decision Tree Classification for Dummies(with Python Code)

In this article, we are going to understand the concept of Decision Tree algorithm for classification and then we will implement i...
Machine Learning Read more
18

Random forest Classification

Random Forest is an ensemble learning technique. It builds a number of decision trees on the randomly selected data sample. Then i...
Machine Learning Read more
19

Evaluating Classification Model performance

Through this post, you are going to understand different metrics for the evaluation of classification models. The Basics: False P...
Machine Learning Read more
20

A Simple Explanation of K-means Clustering in Python

In this tutorial, we are going to understand K-means Clustering and implement the algorithm in PythonWhat is Clustering?Clustering...
Machine Learning Read more
21

Hierarchical Clustering

Clustering: Clustering is an unsupervised learning algorithm. A cluster refers to groups of aggregated data points because of cert...
Machine Learning Read more
22

Association Rule Learning | Apriori

In this tutorial, we are going to understand the association rule learning and implement the Apriori algorithm in Python.Associati...
Machine Learning Read more
23

Eclat Intuition

Eclat Intuition: Today, we are talking about the Eclat model. It is similar to the Apriori algorithm. Here, we actually...
Machine Learning Read more
24

Reinforcement Learning in Machine Learning

Reinforcement Learning is a branch of Machine Learning, also called Online Learning. It is used to solve interacting problems wher...
Machine Learning Read more
25

Upper Confidence Bound (UCB) Algorithm: Solving the Multi-Armed Bandit Problem

Your stomach rumbles. Do you go to the Italian restaurant that you know and love, or the new Thai place that just opened up? Do y...
Machine Learning Read more
26

Thompson Sampling Intuition

In this article, we will talk about the Thompson Sampling Algorithm for solving the multi-armed bandit problem and implement the a...
Machine Learning Read more
27

Artificial Neural Networks

In this article, we are going to learn and implement an Artificial Neural Network(ANN) in Python. Artificial Neural Network: An a...
Machine Learning Read more
28

Natural Language Processing

Natural Language Processing: Natural language processing (NLP) is a field of artificial intelligence concerned with the interactio...
Machine Learning Read more
29

Deep Learning

Deep Learning: Deep Learning is an artificial intelligence function that imitates the workings of the human brain in processing da...
Machine Learning Read more
30

Principal Component Analysis

Principal Component Analysis (PCA): Principle Component Analysis or PCA is a popular dimensionality reduction technique that...
Machine Learning Read more
31

Linear Discriminant Analysis (LDA)

Linear Discriminant Analysis (LDA): Linear Discriminant Analysis(LDA) is a dimensionality reduction technique, that separates the...
Machine Learning Read more
32

Kernel PCA

Kernel Principal Component Analysis(Kernel PCA): Principal component analysis (PCA) is a popular tool for dimensionality reduction...
Machine Learning Read more
33

Model Selection & Boosting

Model Selection & Boosting: Model Selection is the undertaking of choosing a statistical model from an arrangement of candidat...
Machine Learning Read more
34

K-fold Cross Validation in Python | Master this State of the Art Model Evaluation Technique

Evaluation of machine learning models is important. To build a state of the art machine learning model, you need to make sure the...
Machine Learning Read more
35

XGBoost

XGBoost in Python Step 1: First of all, we have to install the XGBoost. Now, we need to implement the classification problem. In t...
Machine Learning Read more
36

Convolution Neural Network

Convolution Neural Network: A Convolutional neural network (CNN, or ConvNet) is a class of deep, feed-forward artificial neural ne...
Machine Learning Read more
37

Dimensionality Reduction

Think of working with a dataset with hundreds of features. Intuitively you can understand the hardship you must deal with while vi...
Machine Learning Read more

© aionlinecourse.com All rights reserved.