What’s the difference between virtual reality and augmented reality? It might seem like semantics, but it’s important to understand that the two are not the same thing. Virtual reality (VR)…
What do data science, big data, and data engineering have in common? If you’re like most people, you’ve probably never heard of these terms before (and definitely not together). But…
Step:1 Setup Your Anaconda Environment using VSCode https://youtu.be/Cp5W5e8_UGo Step:2 Now we will start working with FASHION-MNIST Dataset Fashion-MNIST is a dataset of Zalando's article images consisting of a training set…
Notice that there are a few metrics will be helpful when evaluating the performance of ML/DL models: False negatives and false positives are samples that were incorrectly classifiedTrue negatives and…
Essential Functionality Reindexing An important method on pandas objects is reindex, which means to create a new object with the data conformed to a new index. Consider an example: Input[1]:…
Introduction to Pandas Data Structure Series A Series is a one-dimensional array-like object containing a sequence of values (of similar types to NumPy types) and an associated array of data…
Random Walks The simulation of random walks provides an illustrative application of utilizing array operations. Let’s first consider a simple random walk starting at 0 with steps of 1 and…
Pseudorandom Number Generation The numpy.random module supplements the built-in Python random with functions for efficiently generating whole arrays of sample values from many kinds of probability distributions. For example, you…
File Input and Output with Arrays NumPy is able to save and load data to and from disk either in text or binary format. In this section I only discuss…
Mathematical and Statistical Methods A set of mathematical functions that compute statistics about an entire array or about the data along an axis are accessible as methods of the array…
