AutoKeras Project in Finance – A Guide to build a deep learning model in Python using in-vehicle coupon recommendation Data.
AutoML (H2O) Project for Finance – A Guide to build a classification model in Python using Loan Approval data.
AutoKeras Project in Finance – A Guide to build a deep learning model in Python using Loan Approval data.
AutoML (H2O) Project – A Guide to build a classification model in Python using IRIS data.
Machine Learning for Beginners – A Guide to monitor overfitting of a XGBoost model in Python.
Python Data Science – How to create and optimize a baseline Decision Tree model for Binary Classification?
Machine Learning Project – Logistic Regression in Machine Learning with Python.
Python Data Science Project – IRIS Flower Classification using Logistic Regression Classifier
Data Science project on building spam detector using Python
How to implement K-Nearest Neighbors Algorithm in Python and Scikit-Learn The K-nearest neighbors (KNN) algorithm is a type of supervised machine learning algorithms. KNN is extremely easy to implement in its most basic form, and yet performs quite complex classification tasks. It is a lazy learning algorithm since it doesn’t have a specialized training phase. Rather, …