With the plethora of technological advancements, increasing internet speed and reducing costs of accessing the internet, we are constantly generating large amounts of data every second. Every time access our smartphone, laptop, smart TV or any other electronic gadget, we ...

The WireUs Challenge is an extrapolation of 100 days of code/project to learn and enhance your design and development skills. Pooja Gerais currently in the third semester of her graduation and is pursuing Bachelors in Technology in the field of ...

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 ...

Math helps in understanding logical reasoning and attention to detail. It enhances your abilities to think under pressure and increase your mental endurance. Mathematical concepts give the real solution of hypothetical or virtual problems. It is about structure, developing principles ...

Chicken and egg problems are major headaches for several entrepreneurs. Many machine learning (ML) problems affect an identical dilemma. If we all know A, we will determine B. Or, if we all know B, we will determine A. Either way ...

Support Vector Machines are machine learning model used for classification and regression analysis. SVM is basically the representation of examples as the points in a graph such that representation of separate category is divided by a wide gap that gap ...

Stacking is an ensemble machine learning technique that allows combining different prediction models to make a single model that make the final prediction out of the provided dataset. Sometimes these combined models can be same depending up to the type ...

Scikit-learn is probably the most useful library for machine learning in Python. The sklearn library contains a lot of efficient tools for machine learning and statistical modelling including classification, regression, clustering, model selection, preprocessing and dimensionality reduction. The predefined modules ...