Tag Machine Learning

Machine Learning tutorials

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…

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…

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 – (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…

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…

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…

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…

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…

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…

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…

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…

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…

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…

CatBoost Algorithm in Machine Learning

CatBoost Algorithm in Machine Learning

The CatBoost algorithm is based on Gradient Descent which is a powerful technique for classification and regression problems in Machine Learning. In this article, I will introduce you to the CatBoost algorithm in Machine Learning and its implementation using Python.…

Machine Learning Tasks

Machine Learning Tasks

With the use of machine learning, we can work on tasks that are too complex to solve by writing fixed programs. This is what makes machine learning even more interesting because understanding machine learning means understanding how to make our…

What are Machine Learning Algorithms?

What are Machine Learning Algorithms?

To understand everything about machine learning, you need to understand what machine learning algorithm is. In this article, I will explain what machine learning algorithms are. Machine learning algorithms are a type of statistical techniques applied to data using a…

FastAI in Machine Learning

FastAI in Machine Learning

FastAI is a Machine Learning library used for Deep Learning tasks. It helps by providing top-level components that can be easily used to achieve cutting edge results. In this article, I will walk you through a tutorial on FastAI in…

Machine Learning Syllabus

Machine Learning Syllabus

Machine learning is defined as the use of computational algorithms and statistics to learn from data without being explicitly programmed. It is a subset of artificial intelligence. In this article, I will take you through the complete Syllabus of Machine Learning…

Pandas DataFrame with Python

Pandas DataFrame with Python

In Data Science, the most used data structures are the Series and the DataFrame which deal with arrays and tabular data respectively. In this article, I will walk you through a tutorial on pandas DataFrame with Python. What is a…

Spelling Correction with Python

Spelling Correction with Python

In machine learning, spelling correction and spell checking is a well-known and well-studied problem in natural language processing. In this article, you will learn about a very basic machine learning project on spelling correction with Python programming language. Introduction to…

Why Random_state=42 in Machine Learning?

Why Random_state=42 in Machine Learning?

You will often see people setting random_state=42. Usually, this number has no special properties, but in this article, I’ll explain why random_state=42 in Machine Learning. What is Random_state in Machine Learning? Scikit-Learn provides some functions for dividing datasets into multiple…

Prerequisites for Machine Learning

Prerequisites for Machine Learning

Machine Learning is one of the most important parts of the data-driven economy. If you want to learn machine learning you must be having complete knowledge of what to learn before starting with Machine Learning. In this article, I will…