Tag Machine Learning

Machine Learning tutorials

Data Science Project Ideas on E-commerce

Data Science Project Ideas on E-commerce

E-commerce, short for electronic commerce, refers to the buying and selling of goods and services over the Internet. In E-commerce, businesses set up online platforms (websites or mobile apps) to showcase their products or services. Customers browse through these platforms,…

Types of Data Science Jobs in Finance

Types of Data Science Jobs in Finance

In the Finance domain, there are various Data Science jobs for leveraging data-driven insights to make informed financial decisions, manage risks, detect fraud, and optimize investment strategies. If you are interested in the Finance domain and want to know the…

Data Science Project Ideas on Retail

Data Science Project Ideas on Retail

The retail domain refers to the sector of the economy that involves the sale of goods and services to consumers for their personal or household use. Retailers purchase products from manufacturers or wholesalers and then sell them to individual consumers…

Scikit-learn for Machine Learning

Scikit-learn for Machine Learning

Scikit-learn is a powerful library that provides a wide range of tools for data preprocessing and machine learning. It is built on top of other popular Python libraries like NumPy, SciPy, and Matplotlib, making it an integral part of the…

Types of Neural Network Architectures

Types of Neural Network Architectures

Neural network architectures refer to the structural and organizational designs of artificial neural networks (ANNs). These architectures determine how the network is organized, including the number of layers, the number of neurons in each layer, the connections between neurons, and…

Feature Selection using Python

Feature Selection using Python

In Machine Learning, Feature Selection is the process of choosing a subset of relevant and significant features (variables or attributes) from features available in a dataset. The goal of selecting features is to improve the performance of a Machine Learning…

Here’s How Data Professionals use Cloud Platforms

How Data Professionals use Cloud Platforms

Cloud platforms, also known as cloud computing platforms, are comprehensive services provided by technology companies like Amazon, Microsoft, Google, and IBM, among others. These platforms offer a wide range of computing resources, including servers, storage, databases, networking, analytics, Machine Learning,…

Feature Engineering using Python

Feature Engineering using Python

Feature Engineering is a critical step in solving a Data Science problem that involves creating or selecting the most relevant and informative features (input variables) from raw data. These features are then used to train machine learning models, so the…

Ridge and Lasso Regression

Ridge and Lasso Regression

In Machine Learning, Ridge and Lasso Regression are regularization techniques used in linear regression to prevent overfitting and improve the model’s generalization to unseen data. They work by adding a penalty term to the linear regression loss function. If you‚Ķ

Machine Learning Algorithms Guide

Machine Learning Algorithms Guide

Machine Learning means using data and algorithms to build intelligent systems. Machine Learning algorithms are computational procedures that enable machines to learn patterns and relationships from data without being explicitly programmed. These algorithms allow machines to make predictions, decisions, and…

Hyperparameter Tuning in Machine Learning

Hyperparameter Tuning in Machine Learning

Hyperparameter tuning is an essential process in Machine Learning that involves optimizing the settings that guide the training of a Machine Learning model. But these settings themselves are not learned from the data. These settings, called hyperparameters, play a vital…

Web Data ETL Pipeline using Python

Web Data ETL Pipeline using Python

A Web Data ETL (Extract, Transform, Load) pipeline is a systematic process used in data engineering to collect, transform, and load data from various sources on the internet into a structured and usable format for analysis and storage. So, if…

API-Based Data Science Project Ideas

API-Based Data Science Project Ideas

If you are looking for your first data science job, you need advanced and unique projects mentioned in your resume. A data science professional works with APIs to collect real-time data from company databases and third-party applications. Having at least…

Music Recommendation System using Python

Music Recommendation System using Python & Spotify API

A Music Recommendation System is an application of Data Science that aims to assist users in discovering new and relevant musical content based on their preferences and listening behaviour. Personalized music recommendations have become an essential tool in the digital…

Here’s How Amazon Recommendation System Works

How Amazon Recommendation System Works

Recommendation systems are one of the popular applications of Data Science in every domain. The recommendation system of Amazon works by using both collaborative filtering and content-based filtering techniques. Amazon uses collaborative filtering to analyze user behaviour and recommend products…

Machine Learning Projects using Python

Machine Learning Projects using Python

A Machine Learning Engineer uses data and algorithms to build intelligent systems. If you are new to machine learning, you need to work on beginner-level machine learning projects to understand how to use machine learning algorithms on datasets to solve problems. If‚Ķ

Python and R Libraries for Data Science

Python and R Libraries for Data Science

Python and R are preferred languages for data science due to their rich ecosystem of libraries, extensive community support, and powerful tools for statistical analysis, data manipulation, machine learning, and visualization. You can choose either Python or R for Data…

Data Engineering Project Ideas

Data Engineering Project Ideas

Data Engineering focuses on the foundational aspects of managing and processing data, providing the necessary infrastructure and pipelines to support Machine Learning and Analytics workflows. It ensures that data is reliable, accessible, and processed efficiently to enable data-driven decision-making and…

NumPy for Data Science

NumPy for Data Science

NumPy, which stands for Numerical Python, is a powerful library in Python providing support for large, multi-dimensional arrays and matrices, along with a vast collection of mathematical functions to operate on these arrays. It serves as a fundamental building block…

Data Science Tools Used in the Industry

Data Science Tools Used in the Industry

There are various Data Science tools used in the industry. The usage of different data science tools across companies and professions stems from the diverse nature of their data, objectives, and roles within the industry. Companies, ranging from small startups to large‚Ķ

Here’s How SVM Algorithm Works

How SVM Algorithm Works

Support Vector Machine (SVM) is a popular supervised learning algorithm used for classification and regression problems in Machine Learning. The basic idea behind SVM is to find a decision boundary that separates data points of different classes with the maximum…

What are Data Driven Business Models

Data Driven Business Models

Data-driven business models are the types of business models in which data is used for overall business operations. Most big tech product companies you hear about today have data-driven business models. So, if you want to understand what Data-Driven business models‚Ķ

Data Science Interview Questions

Data Science Interview Questions

There are many types of questions you are asked for a job interview to understand your behaviour, technical skills, domain expertise, and how you will use your skills in solving real-time business problems. If you are looking for some of…

Data Engineering Roadmap

Data Engineering Roadmap

A Data Engineer is a data professional who collects, transforms, and process data according to the need of the business. Data Engineering is one of the highest-paying jobs in Data Science. So, if you are looking for a roadmap to…

Machine Learning Roadmap

Machine Learning Roadmap

In Machine Learning, we use data and algorithms to build intelligent systems. In the next ten years, you will explore many new high-paying jobs that require you to know about Machine Learning. So the time you will spend today learning…

Salary of a Machine Learning Engineer

Salary of a Machine Learning Engineer

Like all other jobs, the salary of a Machine Learning Engineer depends on many factors like work experience, living standards in the country, and demand for Machine Learning Engineers in the country. Out of all factors, work experience is the most important…

Regression Metrics in Machine Learning

Regression Metrics in Machine Learning

Regression analysis is a machine learning technique used to predict continuous values. Once you have trained a regression model to predict Continuous values based on the problem you are solving, it is valuable to evaluate the model’s performance. So, if‚Ķ

Roadmap to Learn Machine Learning

Roadmap to Learn Machine Learning

In Machine Learning, we use data and algorithms to build intelligent systems. It doesn’t matter if you want to become a Machine Learning Engineer, Data Scientist, or Data Analyst. If you want any job in the Data Science field, you‚Ķ

Tips to Get a Data Science Job

Tips to Get a Data Science Job

Data science is one of the highest paying career options today. There are many jobs in this field, some of the most popular of which are Data Scientist, Data Analyst, Data Engineer, and Machine Learning Engineer. If you know you…

Data Science Roadmap

Data Science Roadmap

Data science is one of the highest-paying career options in this data-driven world. Every company now makes decisions based on the data generated by its business. A company, therefore, needs skilled data science professionals to turn raw data into actionable…

Software and Tools for Data Science

Software and Tools for Data Science

Whenever you have seen a roadmap to learn data science, you must have found people often highlighting Python or R. Python and R are the most popular programming languages among the data science community. But just having the practical knowledge…

Machine Learning Projects on Text Classification

Machine Learning Projects on Text Classification

Text classification is a machine learning technique used to classify texts based on predefined labels. For example, classifying languages based on a dataset containing different languages with predefined labels. Text classification is used in various problems of natural language processing…

How Neural Network Works

How Neural Network Works

A neural network is a computational structure that connects an input layer to an output layer. This computational structure is used in training deep learning models that can easily outperform any classical machine learning algorithm. As a data science beginner,…

Free GPU for Machine Learning

Free GPU for Machine Learning

A data scientist or machine learning engineer often needs the power of GPU to perform powerful calculations using deep neural network architectures. As a data science professional, you will have access to powerful laptops by your company itself, but as…

Machine Learning Glossary

Machine Learning Glossary

A glossary is a list of words with their meanings about a specific subject or topic. When learning machine learning, you go through a lot of terms that are not easy to remember, but if you have a machine learning…

Coding Projects for Resume

Coding Projects for Resume

There are so many business problems where a company needs good coders to solve their problems with their coding skills. To identify whether someone is a good coder or not, your projects are the only work that can show your…

Use of Machine Learning in Social Media

Use of Machine Learning in Social Media

There are so many applications in your smartphone that uses machine learning somewhere to provide a better user experience. Social Media applications are such applications that are found in every smartphone. So to understand the use of machine learning nothing…

Calculation of Accuracy using Python

Calculation of Accuracy using Python

In machine learning, accuracy is one of the most important performance evaluation metrics for a classification model. The mathematical formula for calculating the accuracy of a machine learning model is 1 Р(Number of misclassified samples / Total number of…

Syllabus of Machine Learning

Syllabus of Machine Learning

There are so many courses available today based on machine learning because the use of machine learning in the industry is increasing rapidly. I’ve seen a lot of courses that are expensive but still don’t include all of the important‚Ķ

R2 Score in Machine Learning

R2 Score in Machine Learning

The R2 score is one of the performance evaluation measures for regression-based machine learning models. It is also known as the coefficient of determination. If you want to learn how to evaluate the performance of a machine learning model using…

Lazy Predict in Python (Tutorial)

Lazy Predict in Python (Tutorial)

Lazy Predict is a Python library designed to compare the performance of various machine learning models on a dataset. If you don’t know how to select an algorithm when training a machine learning model, this article is for you. In‚Ķ

t-SNE in Machine Learning

t-SNE in Machine Learning

t-SNE is a very powerful machine learning algorithm that can be used to visualize a high-dimensional dataset also in two-dimensional figures. It stands for t-Distributed Stochastic Neighbor Embedding. If you want to learn more about t-SNE and how to visualize…

Advanced Computer Vision Projects

Advanced Computer Vision Projects

Computer vision is a field of artificial intelligence that means giving a computer system the ability to see and analyze images just like humans. The FaceId in iPhone is one of the popular examples of computer vision applications. So if…

Data Science Project Ideas

Data Science Project Ideas

Working on data science projects will help you improve your problem-solving skills and a good collection of data science projects will strengthen your portfolio which will leave a strong positive impact on your profile as a data scientist. So if…

How to Learn Machine Learning?

How to Learn Machine Learning?

Almost every business, big or small, today uses machine learning somewhere in their applications. Today, every business is in dire need of hiring machine learning experts, regardless of their educational background. So if you want to become an expert in…

End-to-End Machine Learning Model

End-to-End Machine Learning Model

You’ll find plenty of machine learning projects and tutorials on the internet, but only a few of them focus on end-to-end model deployment. So, if you want to learn how to build an end-to-end machine learning model, then this article‚Ķ

Autokeras Tutorial with Python

Autokeras Tutorial with Python

AutoKeras is a Keras-based machine learning framework. It was developed by DATA Lab at Texas A&M University to provide deep learning for everyone. Simply put, it is an automatic machine learning framework for deep learning. If you want to learn…

Perceptron in Machine Learning

Perceptron in Machine Learning

Perceptron is one of the simplest architecture of Artificial Neural Networks in Machine Learning. It was invented by Frank Rosenblatt in 1957. In this article, I will take you through an introduction to Perceptron in Machine Learning and its implementation…

Types of Neural Networks

Types of Neural Networks

A neural network is a subset of machine learning that mimics the workings of a human brain while solving a complex problem based on deep learning. Neural networks are inspired by neurons found in the human brain. In this article,…

Kernel PCA in Machine Learning

Kernel PCA in Machine Learning

Kernel PCA is one of the variations of principal component analysis in machine learning that uses kernel methods to perform the initially linear operations of principal component analysis. In this article, I will take you through an introduction to Kernel…

Sparse PCA in Machine Learning

Sparse PCA in Machine Learning

Principal Component Analysis (PCA) is a dimensionality reduction algorithm used to reduce the dimensionality of a dataset. Sparse PCA is one variation of PCA that can exploit the natural sparsity of data while extracting the principal components. In this article,…

MacBook M1 for Machine Learning

MacBook M1 for Machine Learning

Apple’s new M1 chipset offers a powerful processor for every task. It has the most advanced neural engine which offers up to 11 times better performance for machine learning compared to the older MacBooks. So, is the new MacBook M1‚Ķ

TextBlob in Python (Tutorial)

TextBlob in Python (Tutorial)

TextBlob is a Python library that can be used to process textual data. Some of the tasks where it is good to use are sentiment analysis, tokenization, spelling correction, and many other natural language processing tasks. In this article, I’ll‚Ķ

Customer Segmentation with Machine Learning

Customer Segmentation with Machine Learning

In machine learning, customer segmentation is based on the problem of clustering which means finding clusters in a dataset with the same features. Customer segmentation can help a business focus on marketing strategies to increase profits and overall customer satisfaction.…

Applications of Supervised Learning

Applications of Supervised Learning

In machine learning, supervised learning is characterized by the concept of a supervisor whose goal is to provide an accurate measure of error that is directly comparable to the output values. If you don’t know in what kinds of problems‚Ķ

AutoTS in Python (Tutorial)

AutoTS in Python (Tutorial)

AutoTS is an automatic machine learning library in Python which is developed for the task of automatic time series forecasting. You can use this library for any task of time series forecasting such as predicting the stock prices for the…

What are Pre Trained Models?

What are Pre Trained Models?

In Machine Learning, we sometimes use models trained and developed by other developers for some complex tasks. These models are known as pre-trained model. It is not a bad idea to use a pre-trained model for solving a similar problem…

Amazon Recommendation System using Python

Amazon Recommendation System using Python

Recommendation Systems are one of the widely used applications of Data Science in most companies based on products and online services. Amazon is a great example of such companies. Being an online shopping website Amazon needs to generate personalised recommendations…

Streamlit Tutorial using Python

Streamlit Tutorial using Python

Streamlit is an open-source Python framework used to deploy machine learning models in beautiful web applications in just a few lines of code. You don’t need any knowledge of web development to deploy machine learning models with this framework. In‚Ķ

Cosine Similarity in Machine Learning

Cosine Similarity in Machine Learning

Cosine similarity is a method used in building machine learning applications such as recommender systems. It is a technique to find the similarities between the two documents. In this article, I’ll give you an introduction to Cosine Similarity in Machine‚Ķ

Model Deployment in Machine Learning

Model Deployment in Machine Learning

Machine learning is one of those areas that every business invests in today. The complete lifecycle of a machine learning application begins with data collection and ends with model deployment. In this article, I’ll walk you through what model deployment‚Ķ

Machine Learning Project Ideas

Machine Learning Project Ideas

Machine learning helps a business solve complex problems where we don’t program an application but train it so that it can learn to react in different kinds of situations. In this article, I’m going to introduce you to some machine‚Ķ

K-Means Clustering in Machine Learning

K-Means Clustering in Machine Learning

The K-Means Clustering is a clustering algorithm capable of clustering an unlabeled dataset quickly and efficiently in just a very few iterations. In this article, I will take you through the K-Means clustering in machine learning using Python. K-Means Clustering…

Machine Learning Pipelines

Machine Learning Pipelines

Machine Learning Pipelines helps in automating the process of the lifecycle of a machine learning model. It automates the lifecycle of data validation, preprocessing, training and deployment on a new dataset. In this article, I will take you through Machine…

Content-Based Filtering in Machine Learning

Content-Based Filtering in Machine Learning

Most recommendation systems use content-based filtering and collaborative filtering to show recommendations to the user to provide a better user experience. Content-based filtering generates recommendations based on a user’s behaviour. In this article, I will walk you through what content-based‚Ķ