VSCode Visual Studio Code (VSCode) is a good tool for machine learning and data science. It has many features that make it a suitable choice for these tasks, including: Integrated…
Before jumping into the field of data science, it's important to understand the following key concepts and skills: Programming: Data scientists use programming languages such as Python and R to…
Nearly all scientific fields have felt the impact of this technology. Most industries and businesses have already been disrupted and transformed through the use of DL. The leading technology and…
First, make sure you have installed the putty to access the terminal and WinSCP for transferring files. putty WinSCP Step 1: Create tmux session $ tmux new -s session-name # create new session$ Ctrl+b then d to leave the current…
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…
