Tag Archives: sklearn

How to add a dropout layer to a Deep Learning Model in Keras

Hits: 12   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to add a dropout layer to a Deep Learning Model in Keras. What should I learn from this recipe? You will learn: How …

Learn By Example | How to add a dropout layer to a Deep Learning Model in Keras?

Hits: 10   In this Applied Machine Learning & Data Science Recipe, the reader will find the practical use of applied machine learning and data science in Python & R programming: Learn By Example | How to setup a Deep Learning Model in Keras? 100+ End-to-End projects in Python & R to build your Data …

Learn By Example | How to setup a Deep Learning Model in Keras?

Hits: 7   In this Applied Machine Learning & Data Science Recipe, the reader will find the practical use of applied machine learning and data science in Python & R programming: Learn By Example | How to setup a Deep Learning Model in Keras? 100+ End-to-End projects in Python & R to build your Data …

Data Science Coding | Keras and Tensorflow with Grid Search Cross Validation | IRIS Data | WACAMLDS

Hits: 22 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: Keras and Tensorflow with Grid Search Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science portfolio. Introduction to Applied Machine …

Data Science Coding | SKLEARN XGBoost Classifier with Grid Search Cross Validation | WACAMLDS

Hits: 28 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: SKLEARN XGBoost Classifier with Grid Search Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science portfolio. Introduction to Applied Machine …

SKLEARN Gradient Boosting Classifier with Monte Carlo Cross Validation

Hits: 19 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: SKLEARN Gradient Boosting Classifier with Monte Carlo Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science portfolio. Introduction to Applied …

SKLEARN Gradient Boosting Classifier with Grid Search Cross Validation

Hits: 76 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: SKLEARN Gradient Boosting Classifier with Grid Search Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science portfolio. Introduction to Applied …

IRIS Flower Classification using SKLEARN RandomForest Classifier with Monte Carlo Cross Validation

Hits: 18 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: IRIS Flower Classification using SKLEARN RandomForest Classifier with Monte Carlo Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science portfolio. …

IRIS Flower Classification using SKLEARN Random Forest Classifier with Grid Search Cross Validation

Hits: 71 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: IRIS Flower Classification using SKLEARN Random Forest Classifier with Grid Search Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science …

IRIS Flower Classification using SKLEARN DecisionTree Classifier with Monte Carlo Cross Validation

Hits: 33  In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: IRIS Flower Classification using SKLEARN DecisionTree Classifier with Monte Carlo Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science portfolio. …

IRIS Flower Classification using SKLEARN DecisionTree Classifier with Grid Search Cross Validation

Hits: 53  In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: IRIS Flower Classification using SKLEARN DecisionTree Classifier with Grid Search Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science portfolio. …

Beginner’s Project on Regression in Python

Hits: 371 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: how to do an end-to-end Beginner’s Project on Regression in Python. 100+ End-to-End projects in Python & R to build your Data Science portfolio. Regression. …

Beginner’s Project on Binary Classification in Python – Sonar Dataset

Hits: 334 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: how to do an end-to-end Beginner’s Project on Binary Classification in Python. 100+ End-to-End projects in Python & R to build your Data Science portfolio. …

Beginner’s Project on Multi-Class Classification in Python

Hits: 327 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: how to do an end-to-end Beginner’s Project on Multi-Class Classification in Python. 100+ End-to-End projects in Python & R to build your Data Science portfolio. …

how to save and load model with pickle

Hits: 90 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: how to save and load model with pickle. 100+ End-to-End projects in Python & R to build your Data Science portfolio. how to save and …

How to save and load model with joblib

Hits: 85 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to save and load model with joblib. 100+ End-to-End projects in Python & R to build your Data Science portfolio. how to save and …