Introduction to the Pandas Library
Author(s): Saiteja Kura Originally published on Towards AI. Source — Nimble Coding Before beginning, I would suggest you read my previous article on NumPy here. Although NumPy’s arrays are better than Python’s data structures several limitations hinder its usage.1. NumPy’s high dimensional …
R Script for Data Science Coding Exercise
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Some coding challenge problems would specify that a formal project report be submitted together with a Jupyter notebook or R Script file Photo by Safar Safarov on Unsplash The take-home challenge problem …
A Beginner’s Guide To Optimizing Julia Code
Author(s): ___ Originally published on Towards AI. How To Find And Fix Performance Bottlenecks In this article, I will share some tips to help speed up the Julia code. The goal is to help newcomers to this language be familiar with the …
How to Deal with Major Challenges in Machine Learning
Author(s): Siddhesh Jadhav Originally published on Towards AI. Best practices for all the common challenges in every step of machine learning problem Photo by bady qb on Unsplash We often get blocked at different steps while working on a machine learning problem. …
CSV File Format in Data Science
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Tutorial on importation and exportation of data in CSV files. Python and R implementations. Python and R functions for importing and exporting data using the csv file format. Image by Benjamin O. …
The Best Data Science Publications to Follow in 2020
Author(s): Magdalena Konkiewicz Originally published on Towards AI. Focusing on Data Science, programming, AI, Machine Learning, and productivity Credit to:ktphotography The popularity of Data Science is growing; more and more companies start to implement Data science solutions to analyze and improve their …
BatchNorm for Transfer Learning
Author(s): Michal Lukac Originally published on Towards AI. Making your networks to learn faster in TensorFlow 2+ source: Pexels There are still a lot of models that use Batch Normalization layers. If you would like to do transfer learning on such models, …
Efficient Pandas: Using Chunksize for Large Data Sets
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. Question One: Data Science professionals often encounter very large data sets with hundreds of dimensions and millions of observations. There are multiple ways to handle large data sets. We all know about the …
Why is Python the Ideal Programming Language for AI and Data Science?
Author(s): Kristy Hill Originally published on Towards AI. Image by Geralt at Pixabay Is Python the preferred programming language for AI and Data Science today? If yes, then let’s learn the logical reasons in this article, along with why it is an …
Feature Scaling with Python’s Scikit-learn
Author(s): Bindhu Balu Originally published on Towards AI. Top highlight One of the primary objectives of normalization is to bring the data close to zero. That makes the optimization problem more “numerically stable”. Now, the scaling using mean and standard deviation assumes …
The Confusion Matrix for Classification
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. Diving Into Confusion Matrix for Classification U+007C Towards AI Understanding Accuracy, Recall, Precision, ROC, AUC and F1-score Confused about The Confusion Matrix? The Confusion-matrix yields the most ideal suite of metrics for evaluating …
50+ Python 3 Tips & Tricks
Author(s): Eyal Trabelsi Originally published on Towards AI. Programming, Python These Python Gems Will Make Your Code Beautiful and Elegant Here is a list of python tips and tricks to help you write an elegant Python 3 code! This article is divided …
Automate Testing of TensorFlow Lite Model Implementation
Author(s): Mirek Stanek Originally published on Towards AI. Making sure that your ML model works correctly on a mobile app (part 2) This post was originally published at thinkmobile.dev — a blog about implementing intelligent solutions in mobile apps (link to article). …
Computer Vision with fast.ai
Author(s): Dhairya Kumar Originally published on Towards AI. Building and Deploying an Image Classifier U+007C Towards AI Build and deploy an image classifier using fast.ai and Render Computer vision is ubiquitous and it has tons of real-life applications like object detection, face …
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