Tag Archives: scikit-learn

How to apply sklearn Random Forest Classifier to yeast dataset

Hits: 105   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 apply sklearn Random Forest Classifier to yeast dataset. What should I learn from this recipe? You will learn: How to install, load …

How to tune Hyperparameters in Gradient boosting Classifiers in Python

Hits: 44   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 tune Hyperparameters in Gradient boosting Classifiers in Python. What should I learn from this recipe? You will learn: How to install, load …

How to apply sklearn Random Forest Classifier to adult income data

Hits: 46   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 apply sklearn Random Forest Classifier to adult income data. What should I learn from this recipe? You will learn: How to install, load …

How to use sklearn Naive Bayes Classifier in Binary Classification

Hits: 31   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 use sklearn Naive Bayes Classifier in Binary Classification. What should I learn from this recipe? You will learn: How to install, load …

Image classification using RandomForest: An example in Python using CIFAR10 Dataset

Hits: 438   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: Image classification using RandomForest: An example in Python using CIFAR10 Dataset. What should I learn from this recipe? You will learn: Image classification using …

Image classification using GradientBoost: An example in Python using CIFAR10 Dataset

Hits: 31   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: Image classification using GradientBoost: An example in Python using CIFAR10 Dataset. What should I learn from this recipe? You will learn: Image classification using …

Image classification using CatBoost: An example in Python using CIFAR10 Dataset

Hits: 130   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: Image classification using CatBoost: An example in Python using CIFAR10 Dataset. What should I learn from this recipe? You will learn: Image classification using …

How to do Fashion MNIST image classification using LightGBM in Python

Hits: 285   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 Fashion MNIST image classification using LightGBM in Python. What should I learn from this recipe? You will learn: How to do …

How to do Fashion MNIST image classification using GradientBoosting in Python

Hits: 197   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 Fashion MNIST image classification using GradientBoosting in Python. What should I learn from this recipe? You will learn: How to do …

How to do Fashion MNIST image classification using Xgboost in Python

Hits: 908   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 Fashion MNIST image classification using Xgboost in Python. What should I learn from this recipe? You will learn: How to do …

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

Hits: 43    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: 24    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?   Personal Career & Learning Guide for Data Analyst, Data Engineer …

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

Hits: 8    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? Personal Career & Learning Guide for Data Analyst, Data Engineer and …

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

Hits: 91  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.   Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist Applied Machine Learning …

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

Hits: 41  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. Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist Applied Machine Learning & …