Speed up EDA With the Intelligent Lux
Author(s): Pranavi Duvva Image by Colin Behrens from Pixabay Data Analysis Automate your visual data exploration with the new python library, Lux 💡. Have you ever been tired of writing multiple lines of code even for a simple graph during EDA? Did you ever wish …
K-Nearest Neighbors (KNN) Algorithm Tutorial — Machine Learning Basics
Author(s): Sujan Shirol, Husna Sayedi, Roberto Iriondo The image is a screenshot of the COVIDCAST application, an open-source project by the Delphi Research Group at Carnegie Mellon University. Diving into K-nearest neighbor, a fundamental classical machine learning (ML) algorithm Join us ↓ …
Fully Explained Gradient Boosting Technique in Supervised Learning
Author(s): Amit Chauhan A regression and classification approach in machine learning Continue reading on Towards AI » Published via Towards AI …
Top Three Ways To Get The Most Out Of Your Machine Learning Project
Author(s): Bipin Biddappa P K Machine Learning, Opinion And here is why you should be doing them right away Photo by Icons8 team on Unsplash Introduction A machine learning model learns from the data it is given to make better and better decisions over …
Perceptron Is Not SGD: A Better Interpretation Through Pseudogradients
Author(s): Francesco Orabona, Ph.D. Actual conversation with my wife (Image from xkcd.com) There is a popular interpretation of the Perceptron as a stochastic (sub)gradient descent procedure. I even found slides online with this idea. The thought of so many young minds twisted by these …
Google’s Model Search is a New Open Source Framework that Uses Neural Networks to Build Neural…
Author(s): Jesus Rodriguez The new framework brings state-of-the-art neural architecture search methods to TensorFlow. Continue reading on Towards AI » Published via Towards AI …
Shapash: Making ML Models Understandable by Everyone
Author(s): Yann Golhen Machine Learning In this article, we will present Shapash, an open-source python library that helps Data Scientists to make their Machine Learning models more transparent and understandable by all! Shapash Web App Demo Shapash by MAIF is a Python Toolkit that …
Electricity production forecasting using ARIMA model in Python
Author(s): Jayashree domala Data Visualization Electricity Production Forecasting Using Arima Model in Python A guide to the step-by-step implementation of ARIMA models using Python. Photo by Matthew Henry (Unsplash) ARIMA which is the short form for ‘Auto-Regressive Integrated Moving Average’ is used on time …
LDA vs. PCA
Author(s): Pranavi Duvva Photo by Robert Katzki on Unsplash A precise overview on how similar or dissimilar is the Linear Discriminant Analysis dimensionality reduction technique from the Principal Component Analysis This is the second part of my earlier article which is The …
Diving Into the Poisson Distribution and Poisson Process
Author(s): Saniya Parveez, Roberto Iriondo Source: Unsplash What role does the Poisson distribution and Poisson process take in probability and statistics, and how is it used in real-life scenarios? Join us ↓ | Towards AI Members Towards AI is a community that …
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