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 …
Simple Linear Regression Tutorial for Machine Learning (ML)
Author(s): Pratik Shukla, Roberto Iriondo Source: Image by the Author. 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 full implementation as …
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 …
Indexing and Slicing Python Pandas DataFrame
Author(s): Indhumathy Chelliah Different ways of indexing pandas dataframe. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
3 Ways Studying Math Made Me a Better Data Scientist
Author(s): Elena Marocco And 3 ways it left me unprepared for the real world Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Bayesian Inference: How Missing Values Causes Biased Estimates
Author(s): ___ How to know when it’s safe to drop observations with missing values Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Preparing your Dataset for Modeling– Quickly and Easily
Author(s): Itamar Chinn Data Science, Machine Learning How to deal with categorical features and why SciKit makes things complicated but brilliant This article is the second in a series that will walk you through a classic data science project. Hopefully, by now you …
ROCKET: Fast and Accurate Time Series Classification
Author(s): Alexandra Amidon State-of-the-art algorithm for time series classification with python Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Time Series Analysis and Forecasting
Author(s): Charanraj Shetty Introduction to its Components and Stationarity Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Popular posts
Updates
Recent Posts
