Implement a Neural Network from Scratch with NumPy
Author(s): Dorian Lazar Originally published on Towards AI. Background image source: Wikimedia Commons I think that the best way to really understand how a neural network works is to implement one from scratch. That is exactly what I going to do through …
COVID-19 Lockdown Impact Analysis
Author(s): Saiteja Kura Originally published on Towards AI. Analyze how the COVID-19 lockdown has effected daily movement using Googleβs Community Mobility data. Photo by Falaq Lazuardi on Unsplash LOCKDOWN! I never heard of this word until March 2020. I was startled by …
Python Basics β 3: If Statements, User Input, While Loop
Author(s): Durgesh Samariya Originally published on Towards AI. Day 3 of 100 Days of Machine Learning Photo by Pakata Goh on UnsplashIf StatementConditional TestsIf-Elif-Else StatementUser InputWhile LoopBreak and Continue in the loop If statements are used to check conditions. Letβs have a …
Automation Using Google-Assistant
Author(s): Santhosh Bandaru Originally published on Towards AI. Technology Automating our home appliances is a bit interesting. So letβs see how we can automate them with google-assistant. from shutterstock.com If you are an excited geek and want to automate your home, here …
Local Binary Pattern for The Evaluation of Surface Quality of Dissimilar Friction Stir Welded Joints
Author(s): Akshansh Mishra Originally published on Towards AI. Engineering, Machine Learning Local Binary Pattern for The Evaluation of Surface Quality of Dissimilar Friction Stir Welded Joints Friction Stir Welding process is an advanced solid-state joining process which finds application in various industries …
Bias & Variance in Machine Learning
Author(s): Shaurya Lalwani Originally published on Towards AI. Photo by Etienne Girardet on Unsplash Linear Regression is a machine learning algorithm that is used to predict a quantitative target, with the help of independent variables that are modeled in a linear manner, …
Google Stock prediction using Multivariate LSTM Neural Network
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Interpolation Not long ago I published a similar article on how to use LSTMs to make Stock predictions using a Vanilla Neural Network. Because I wanted to minimize the complexity of the problem, I …
Introduction
Author(s): Palak Originally published on Towards AI. Intuitive Approach Photo by ZdenΔk MachΓ‘Δek on Unsplash K-nearest neighbors(in short KNNs) are a robust yet straightforward supervised machine learning algorithm. Though its regression variant also exists, weβll only discuss its classification form. KNN is …
Introduction
Author(s): Odemakinde Elisha Originally published on Towards AI. Data Analytics, Machine Learning Utilization of Dask ML Framework for Fraud Detection βEnd-to-end Data Analytics Photo by Michael Longmire on Unsplash Fraudulent activities have become a rampant activity that has aroused a lot of …
Data Visualization using Pandas, NumPy, and Matplotlib Python Libraries
Author(s): Likhitha kakanuru Originally published on Towards AI. Data Visualization To analyze which students secured the highest percentage in subjects like mathematics, physics, and chemistry we require a bar graph to display it. There are many ways to explore datasets. But in …
Time Series Prediction using Adaptive Filtering
Author(s): Satsawat Natakarnkitkul Originally published on Towards AI. Simple implementation example Adaptive filtering is a computational device that attempts to model the relationship between two signals, whose coefficients change with an objective to make the filter converge to an optimal state. The …
Natural Language Processing (NLP) with Python β Tutorial
Author(s): Towards AI Editorial Team Originally published on Towards AI. Join us β | Towards AI Members | The Data-driven Community Top highlight Source: Pixabay Author(s): Pratik Shukla, Roberto Iriondo Last updated December 1, 2021 Join Towards AI, by becoming a member, …
History of Neural Networks! From Neurobiologists to Mathematicians
Author(s): Ali Ghandi Originally published on Towards AI. Deep Learning If you are familiar with Neural Networks and Deep learning, you might wonder what the relation between Neurons and the brain and these networks is. It seems they are based on some …
Topic Modeling Open Source Tool
Author(s): Opeyemi Bamigbade Originally published on Towards AI. A tool built with Python and Streamlit for topic modeling image by tommyboland A large amount of data is being generated and collected in different forms every second. Obtaining the right, relevant, and desired …