Multi-Class Classification

Machine Learning for Beginners – A Guide to compare different ensemble techniques with scikit-learn in Python

Machine Learning for Beginners – A Guide to compare different ensemble techniques with scikit-learn in Python.

How to implement Random Forest Algorithm with Python and Scikit-Learn

Hits: 42  How to implement Random Forest Algorithm with Python and Scikit-Learn Random forest is a type of supervised machine learning algorithm based on ensemble learning. Ensemble learning is a type of learning where you join different types of algorithms or same algorithm multiple times to form a more powerful prediction model. The random forest algorithm combines multiple …

How to implement K-Nearest Neighbors Algorithm in Python and Scikit-Learn

Hits: 44  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. …

How to do Binary Classification: Larger Keras Model in Python with Standardized data

Hits: 18 (How to do Binary Classification: Keras Model in Python with Standardized data)   Python Example for Beginners Special 95% discount 2000+ Applied Machine Learning & Data Science Recipes Portfolio Projects for Aspiring Data Scientists: Tabular Text & Image Data Analytics as well as Time Series Forecasting in Python & R Two Machine Learning …

How to write a program to classify Image using Keras and Python

Hits: 122 (End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to classify Image using Keras and Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to write a program to classify Image using Keras and Python. Download   How to write a program …

Write a program to predict mobile price using XGBoost with Monte Carlo Cross Validation in Python

Hits: 89 (End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to predict mobile price using XGBoost with Monte Carlo Cross Validation in Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to predict mobile price using XGBoost with Monte Carlo Cross Validation in …

Write a program to predict mobile price using XGBoost with Grid Search Cross Validation in Python

Hits: 203 (End-to-End Jupyter Notebook for Citizen Data Scientist & Business Analyst) Write a program to predict mobile price using XGBoost with Grid Search Cross Validation in Python. In this end-to-end applied machine learning and data science notebook, the reader will learn: How to predict mobile price using XGBoost with Grid Search Cross Validation in …