5 Data Granularity Mistakes That May Cost You
Author(s): Elena Marocco How closely should you look at your data to maximize returns? Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Intensive and Extensive Features in Data Science
Author(s): Benjamin Obi Tayo Ph.D. Intensive variables tell us much more about a system than extensive variables. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How to Handle Imbalanced Data in Machine Learning
Author(s): Chetan Ambi Different methods to handle imbalanced data when solving classification tasks Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Descriptive Statistics with Pandas
Author(s): Sujan Shirol Statistical concepts with examples, formula, and python code Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Bayesian Inference: Beyond Estimating Statistical Models
Author(s): ___ Why and how to apply Bayesian inference to build causal models Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Autoencoders for Dimensionality Reduction
Author(s): George Pipis Dimensionality Reduction with Autoencoders Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Math behind Gradient Descent and the Normal Equation for Linear Regression
Author(s): Moeedlodhi When i started my machine learning journey, the math was something that always intrigued me and still does. I for one believe that… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
A Detailed Introduction to Price Elasticity — With an Example
Author(s): Moeedlodhi Significance of Price Elasticity and how it is used to find the optimum price point. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Why is Python so popular among Data Scientists?
Author(s): Maruti Techlabs Data Science Why is Python so Popular Among Data Scientists? Your organization is only as smart as the data you have access to. The ability to extract insights from massive amounts of data decides your enterprise’s success. This is where …
Bias Matters! What’s Fairlearn, and why should I care?
Author(s): Bruno Cordeiro Improving the fairness of machine learning models. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Three Must Know Concepts in Time Series Analysis- with example
Author(s): Moeedlodhi Time Series data is one of the fastest-growing data out there and that is why it is imperative to have a good understanding of it Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Beginners’ Guide to the ROC Curve and AUC
Author(s): Chetan Ambi Understand what is ROC Curve and AUC, how to works, and how to use it for classification problems Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Calculating Linear Regression and Linear Best Fit an In-depth Tutorial with Math and Python
Author(s): Pratik Shukla, Roberto Iriondo Source: Derivative from original by Sergio Souza on Pexels Diving into calculating a simple linear regression and linear best fit with code examples in Python and math in detail This tutorial’s code is available on Github and its …
Linear Regression: Why it Matters and How to Write the Code
Author(s): Mahbubul Alam Simple steps to build linear regression models Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Classification Evaluation Metrics Explained Clearly
Author(s): Chetan Ambi Understand Confusion Matrix, Precision, Recall, F1-score, etc. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …