Deep Learning

Data Science and Machine Learning for Beginners in R – Tensorflow and Keras with Dropout layers using Mushroom Dataset

Hits: 264 In this Applied Machine Learning & Data Science Coding Recipe, the reader will find the practical use of applied machine learning and data science in Python and R programming. Data Science and Machine Learning for Beginners in R – Tensorflow and Keras with Dropout layers using Mushroom Dataset. What should I learn from …

Deep Learning in R with Dropout Layer | Data Science for Beginners | Regression | Tensorflow | Keras

Hits: 73  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 R programming: Deep Learning in R with Dropout Layer | Data Science for Beginners | Regression | Tensorflow | Keras. What should I learn from this Applied …

ML Classification in Python | Data Science Tutorials | Tensorflow | Keras | IRIS | Deep Learning

Hits: 69 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 R programming: ML Classification in Python | Data Science Tutorials | Tensorflow | Keras | IRIS | Deep Learning. What should I learn from this Applied Machine …

Multi-class Classification using GaussianNB, MultinomialNB, BernoulliNB classifiers

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: Multi-class Classification using GaussianNB, MultinomialNB, BernoulliNB classifiers. What should I learn from this recipe? You will learn: How to install, load and describe Penn …

How to install, load and describe Penn Machine Learning Benchmarks – Yeast Datasets

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: How to install, load and describe Penn Machine Learning Benchmarks – Yeast Datasets. What should I learn from this recipe? You will learn: How …

How to use deep learning through sklearn in classifying adult dataset

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: How to use deep learning through sklearn in classifying adult dataset. What should I learn from this recipe? You will learn: How to install, …

How to use Keras and Tensorflow in classifing adult income data in Python

Hits: 37   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 Keras and Tensorflow in classifing adult income data in Python. What should I learn from this recipe? You will learn: How …

How to predict a time series using GRU in Keras

Hits: 55   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 predict a time series using GRU in Keras. What should I learn from this recipe? You will learn: How to code a …

How to predict a time series using LSTM in Keras

Hits: 138   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 predict a time series using LSTM in Keras. What should I learn from this recipe? You will learn: How to code a …

How to predict and visualise a time series using GradientBoost in Python

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: How to predict and visualise a time series using GradientBoost in Python. What should I learn from this recipe? You will learn: How to …

How to predict a time series using XGBoost in Python

Hits: 381   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 predict a time series using XGBoost in Python. What should I learn from this recipe? You will learn: How to code a …

How to predict a time series using Multi Layer Perceptron in Keras

Hits: 63   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 predict a time series using Multi Layer Perceptron in Keras. What should I learn from this recipe? You will learn: How to …