• 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...

• 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...

• 3.
• Regression

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

• 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...

• 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...

• 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...

• 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...

• 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?...

• 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...

• 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...

• 11.
• Classification

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

• 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...

• 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...

• 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...

• 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...

• 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...

• 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...

• 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...

• 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...

• 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...

• 21.
• Hierarchical Clustering

Clustering: Clustering is an unsupervised learning algorithm. A cluster refers to groups of aggregated data points because of cert...

• 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...

• 23.
• Eclat Intuition

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

• 24.
• Reinforcement Learning

Reinforcement Learning: Reinforcement Learning is a branch of Machine Learning, also called Online Learning. It is used to solve i...

• 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...

• 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...

• 27.
• Natural Language Processing

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

• 28.
• Deep Learning

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

• 29.
• Artificial Neural Networks

In this article, we are going to learn and implement an Artificial Neural Network(ANN) in Python.Artificial Neural Network: An art...

• 30.
• Principal Component Analysis

Principal Component Analysis (PCA): Principle Component Analysis or PCA is a popular dimensionality reduction technique that...

• 31.
• Linear Discriminant Analysis (LDA)

Linear Discriminant Analysis (LDA): Linear Discriminant Analysis(LDA) is a dimensionality reduction technique, that separates the...

• 32.
• Kernel PCA

Kernel Principal Component Analysis(Kernel PCA): Principal component analysis (PCA) is a popular tool for dimensionality reduction...

• 33.
• Model Selection & Boosting

Model Selection & Boosting: Model Selection is the undertaking of choosing a statistical model from an arrangement of candidat...

• 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...

• 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...

• 36.
• Convolution Neural Network

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

• 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...