September 21, 2020 Python Leave a comment

Local and Global Variables in Python

One of the basic elements of programming languages are variables. Simply speaking a variable is an abstraction layer for the memory cells that contain the actual value. For us, as a developer, it is easier to remember the name of the memory cell than it is to remember its physical memory address. A valid name can consist of characters from ‘a’ to ‘z’ (in both lower and upper cases) as well as digits. No spaces or special characters, like umlauts […]

September 21, 2020 Python Leave a comment

Implementing PCA in Python with Scikit-Learn

With the availability of high performance CPUs and GPUs, it is pretty much possible to solve every regression, classification, clustering and other related problems using machine learning and deep learning models. However, there are still various factors that cause performance bottlenecks while developing such models. Large number of features in the dataset is one of the factors that affect both the training time as well as accuracy of machine learning models. You have different options to deal with huge number […]

September 21, 2020 Python Leave a comment

Implementing LDA in Python with Scikit-Learn

In our previous article Implementing PCA in Python with Scikit-Learn, we studied how we can reduce dimensionality of the feature set using PCA. In this article we will study another very important dimensionality reduction technique: linear discriminant analysis (or LDA). But first let’s briefly discuss how PCA and LDA differ from each other. PCA vs LDA: What’s the Difference? Both PCA and LDA are linear transformation techniques. However, PCA is an unsupervised while LDA is a supervised dimensionality reduction technique. […]

September 21, 2020 Python Leave a comment

Introduction to the Python Coding Style

Python as a scripting language is quite simple and compact. Compared to other languages, you only have a relatively low number of keywords to internalize in order to write proper Python code. Furthermore, both simplicity as well as readability of the code are preferred, which is what Python prides itself on. In order to achieve both goals, it is helpful that you follow the language’s specific guidelines. This article focuses on the guidelines mentioned above to write valid code that […]

September 21, 2020 Python Leave a comment

Course Review: Python for Data Science and Machine Learning Bootcamp

Before we get started it would be helpful to know what data science and machine learning actually are. So in case you don’t know, here are some basic definitions: Data science is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data in various forms, either structured or unstructured Machine learning is a field of computer science that often uses statistical techniques to give computers the ability to “learn” with data, without being […]

September 21, 2020 Python Leave a comment

Course Review: Complete Python Bootcamp – Go from zero to hero in Python 3

Introduction The Python programming language has been around for a long time now and given the powerful language that it is, it shouldn’t be a surprise for it to continue having a strong foothold for years to come. Python’s extensibile frameworks and rich set of libraries make it a top language across various fields such as data science, machine learning, and web development, to name a few. Students and professionals are using it alike to tackle day-to-day problems as well […]

September 21, 2020 Python Leave a comment

Random Forest Algorithm with Python and Scikit-Learn

Random forest is a type of supervised machine learning algorithm based on ensemble learning. Ensemble learning is a type of learning where you join different types of algorithms or same algorithm multiple times to form a more powerful prediction model. The random forest algorithm combines multiple algorithm of the same type i.e. multiple decision trees, resulting in a forest of trees, hence the name “Random Forest”. The random forest algorithm can be used for both regression and classification tasks. How […]

September 21, 2020 Python Leave a comment

The Python tempfile Module

Introduction Temporary files, or “tempfiles”, are mainly used to store intermediate information on disk for an application. These files are normally created for different purposes such as temporary backup or if the application is dealing with a large dataset bigger than the system’s memory, etc. Ideally, these files are located in a separate directory, which varies on different operating systems, and the name of these files are unique. The data stored in temporary files is not always required after the […]

September 21, 2020 Python Leave a comment

Converting Strings to datetime in Python

Introduction One of the many common problems that we face in software development is handling dates and times. After getting a date-time string from an API, for example, we need to convert it to a human-readable format. Again, if the same API is used in different timezones, the conversion will be different. A good date-time library should convert the time as per the timezone. This is just one of many nuances that need to be handled when dealing with dates […]

September 21, 2020 Python Leave a comment

The Naive Bayes Algorithm in Python with Scikit-Learn

When studying Probability & Statistics, one of the first and most important theorems students learn is the Bayes’ Theorem. This theorem is the foundation of deductive reasoning, which focuses on determining the probability of an event occurring based on prior knowledge of conditions that might be related to the event. The Naive Bayes Classifier brings the power of this theorem to Machine Learning, building a very simple yet powerful classifier. In this article, we will see an overview on how […]

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