## Harnessing Ensemble Learning: Constructing a Cohort of Machine Learning Algorithms in Python

Harnessing Ensemble Learning: Constructing a Cohort of Machine Learning Algorithms in Python

## Navigating Your Path to Data Science: The Ultimate Guide for 2023 Aspirants

Navigating Your Path to Data Science: The Ultimate Guide for 2023 Aspirants

## Population Forecasting of Argentina using ARIMA model in Python

Applied Machine Learning and Data Science is made easy at SETScholars. SETScholars aims to guide you to become a Predictive Analytics & Data Science specialist by exploring machine learning & deep learning tools in Python, R & SQL. In this end-to-end learn by coding article, you will learn how to do an end-to-end predictive analytics project on Population Forecasting of Argentina using ARIMA model in Python.

## UAE Population Prediction using ARIMA model in Python

Applied Machine Learning and Data Science is made easy at SETScholars. SETScholars aims to guide you to become a Predictive Analytics & Data Science specialist by exploring machine learning & deep learning tools in Python, R & SQL. In this end-to-end learn by coding article, you will learn how to do an end-to-end predictive analytics project on UAE Population Prediction using ARIMA model in Python.

## Zimbabwe Population Growth Rate Prediction using World Bank data in Python

Applied Machine Learning and Data Science is made easy at SETScholars. SETScholars aims to guide you to become a Predictive Analytics & Data Science specialist by exploring machine learning & deep learning tools in Python, R & SQL. In this end-to-end learn by coding article, you will learn how to do an end-to-end predictive analytics project on Zimbabwe Population Growth Rate Prediction using World Bank data in Python.

## Data Analytics – GGPLOT AXIS TICKS: SET AND ROTATE TEXT LABELS

GGPLOT AXIS TICKS: SET AND ROTATE TEXT LABELS   This article describes how to easily set ggplot axis ticks for both x and y axes. We’ll also explain how to rotate axis labels by specifying a rotation angle. In this R graphics tutorial, you will learn how to: Change the font style (size, color and face) of the axis tick mark …

## Data Analytics – GGPLOT AXIS LIMITS AND SCALES

GGPLOT AXIS LIMITS AND SCALES   This article describes R functions for changing ggplot axis limits (or scales). We’ll describe how to specify the minimum and the maximum values of axes. Among the different functions available in ggplot2 for setting the axis range, the coord_cartesian() function is the most preferred, because it zoom the plot without clipping the data. In …

## Learn Keras by Example – How to Visualize Loss History

Visualize Loss History Preliminaries /* Load libraries */ import numpy as np from keras.datasets import imdb from keras.preprocessing.text import Tokenizer from keras import models from keras import layers import matplotlib.pyplot as plt /* Set random seed */ np.random.seed(0) Using TensorFlow backend. Load Movie Review Data /* Set the number of features we want */ number_of_features …

## Learn Keras by Example – Preprocessing Data For Neural Networks

Preprocessing Data For Neural Networks Typically, a neural network’s parameters are initialized (i.e. created) as small random numbers. Neural networks often behave poorly when the feature values much larger than parameter values. Furthermore, since an observation’s feature values will are combined as they pass through individual units, it is important that all features have the …

## Learn Keras by Example – How to do Neural Network Weight Regularization

Neural Network Weight Regularization Preliminaries /* Load libraries */ import numpy as np from keras.datasets import imdb from keras.preprocessing.text import Tokenizer from keras import models from keras import layers from keras import regularizers /* Set random seed */ np.random.seed(0) Using TensorFlow backend. Load Movie Review Text Data /* Set the number of features we want …

## Learn Keras by Example – How to do Neural Network Early Stopping

Neural Network Early Stopping Preliminaries /* Load libraries */ import numpy as np from keras.datasets import imdb from keras.preprocessing.text import Tokenizer from keras import models from keras import layers from keras.callbacks import EarlyStopping, ModelCheckpoint /* Set random seed */ np.random.seed(0) Using TensorFlow backend. Load Movie Review Text Data /* Set the number of features we …

## Learn Keras by Example – How to Build LSTM Recurrent Neural Network

LSTM Recurrent Neural Network Oftentimes we have text data that we want to classify. While it is possible to use a type of convolutional network, we are going to focus on a more popular option: the recurrent neural network. The key feature of recurrent neural networks is that information loops back in the network. This …