Introduction Before exploring the machine learning project ideas, let us revisit the history. Many scholars have in-depth knowledge about Machine Learning concepts and algorithms, but that alone is not sufficient to get a clear foundation about the tweaks of these ...

Machine Learning is a very large field that aims to provide machines with human-like capabilities of learning and making predictions by acquiring skills or knowledge from historical data. Due to its rapidly expanding capabilities of handling even the most complex ...

Regression is very important and is broadly used as a statistical and machine learning tool. The key objective of regression-based tasks is to predict output labels or responses which are continuous numeric values, for the given input file. Introduction The ...

Random Forest is one of the foremost popular and most powerful machine learning algorithms. It’s a kind of ensemble machine learning algorithm called Bootstrap Aggregation or bagging. The bootstrap method for estimating statistical quantities from samples. The Bootstrap Aggregation algorithm ...

The latest technological advancements in Data Sciences and Machine Learning have helped transform the way we live and interact with our surroundings. We are constantly generating exponential amounts of data at a very fast pace, which the big tech companies ...

AI-based filtering, face changing and photo editing software has taken the internet by storm. People today spend endless hours trying to find the perfect filters to beautify their photos, try quirky animal or rockstar filters or just trying to anticipate ...

AdaBoost is a short form for “Adaptive Boosting” which is the first practical boosting algorithm proposed by Freund and Schapire in 1996. It focuses on classification problems and aims to convert a group of weak classifiers into a robust one. The ...

Chess is a strategy game played by two players on a board which is very popular worldwide. It has 64 squares arranged in an 8×8 square grid with the concept of winning the space by two kings with his whole ...

Clustering or cluster analysis is an unsupervised learning problem. It is often used as a knowledge analysis technique for locating interesting patterns in data, like groups of consumers supported their behaviour. There are many clustering algorithms to settle on from ...

Deep Learning is nowadays on the boom because of the frameworks like Tensorflow and Keras. It has become easy to make Machine Learning model without actually knowing the working beneath it. Making a machine learning model using basic libraries is ...