In this tutorial, you're going to learn about the Django Python Web framework. You will learn Django by creating a Voting Web App entirely using the Django. In this tutorial, you’ll learn about the recently discovered Dimensionality Reduction technique known as t-Distributed Stochastic Neighbor Embedding (t-SNE). In this tutorial, you'll learn about Tensors, PyTorch, and how to create a simple neural network with PyTorch. In this tutorial, you shall work with lists and learn an efficient way to divide arbitrarily sized lists into chunks of a given size. There is an optimal number of hidden layers and neurons for an artificial neural network (ANN). This tutorial discusses a simple approach for determining the optimal numbers for layers and neurons for ANN's. Master SQL for Data Reporting & daily data analysis by learning how to select, filter & sort data, customize output, & how you can report aggregated data from a database! Learn about Logistic Regression, its basic properties, and build a machine learning model on a real-world application in Python. In this tutorial, you'll learn what ensemble is and how it improves the performance of a machine learning model. Learn to use data visualization tools provided by the VIM package to gain quick insights into the missing data patterns. Learn linear algebra through code and visualization. Learn How to analyze text using NLTK. Analyze people's sentiments and classify movie reviews. In this tutorial, we'll use tidyr, dplyr, and ggplot2 to visualize a season of soccer scores, and investigate trends in the time of goals scored and conceded. In this tutorial, you'll learn what Markov chain is and use it to analyze sales velocity data in R. Learn the basics of Regularization and how it helps to prevent Overfitting. Learn how to access data from the Pew Research Center, load it into R & then how to explore the data using the Tidyverse ecosystem.