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predictive modelling

predictive modelling

#predictive-modelling

3 followers·13 articles

predictive modelling

#predictive-modelling·3 followers·13 articles

predictive modelling

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Deepak Kumar Mohanty

Deepak Kumar Mohanty

kumarblog-1.hashnode.dev·Oct 26, 2024

Oct 26, 2024

Finding the Best-Fit Line in Linear Regression – Manual Minimization vs. Gradient Descent

When working with linear regression, the goal is to identify the best-fit line that captures the relationship between your input (independent) variable x and output (dependent) variable y. This line, represented by the equation: $$h_{\theta}(x) = \th...

Finding the Best-Fit Line in Linear Regression – Manual Minimization vs. Gradient Descent

Discuss·14 reads

Deepak Kumar Mohanty

Deepak Kumar Mohanty

kumarblog-1.hashnode.dev·Oct 26, 2024

Oct 26, 2024

Understanding Error Metrics in Regression: MSE, MAE, and RMSE

When building predictive models, especially in regression tasks, evaluating their performance is crucial. This is where error metrics come into play. In this blog post, we will explore three common error metrics: Mean Squared Error (MSE), Mean Absolu...

Understanding Error Metrics in Regression: MSE, MAE, and RMSE

Discuss·9 reads

root mean square error

Sai Sravanthi

saisravanthi.hashnode.dev·Oct 11, 2024

Oct 11, 2024

Building Predictive Models: How Data Analysts Can Dive Into Machine Learning

Predictive modeling, enhanced by machine learning, helps data analysts forecast future trends using historical data, and this guide explains key concepts and provides Python and Scikit-Learn code examples. Key Concepts in Predictive Modeling Supervi...

Building Predictive Models: How Data Analysts Can Dive Into Machine Learning

Discuss·11 likes·69 reads

predictive analysis

sanjana shah

technologytraining.hashnode.dev·Sep 28, 2024

Sep 28, 2024

How is Data Science Enhancing Real-Time Personalization in E-commerce?

In today’s digital age, e-commerce has transformed the way consumers shop. With countless options available at their fingertips, businesses must find innovative ways to stand out and cater to individual customer needs. Data science, powered by machin...

How is Data Science Enhancing Real-Time Personalization in E-commerce?

Discuss·2 reads

Mohiddin Y

datasciencewithmohiddin.hashnode.dev·Sep 17, 2024

Sep 17, 2024

ARIMA vs Prophet: A Comprehensive Guide for Time Series Forecasting

In today’s data-driven world, accurate time series forecasting is essential for informed decision-making across industries such as finance, operations, and retail. Two prominent models widely used for these predictions are ARIMA (AutoRegressive Integ...

ARIMA vs Prophet: A Comprehensive Guide for Time Series Forecasting

Discuss·1 like·15 reads

Meemansha Priyadarshini

Meemansha Priyadarshini

meemansha.hashnode.dev·Jul 11, 2024

Jul 11, 2024

Decision Trees Algorithm

Decision Tree is a Supervised machine learning algorithm used for performing Classification and Regression tasks. How Decision Trees Work Suppose we have an classification dataset of some Yes and No Values. This dataset contains 14 observation of wea...

Decision Trees Algorithm

Discuss·4 reads

Haocheng Lin

haochengcodedev.hashnode.dev·May 09, 2024

May 09, 2024

The Confusion Matrix Metrics

📖Introduction In machine learning, evaluating the performance of a model is akin to peering into a crystal ball to gauge its predictive prowess. One indispensable tool in this evaluation arsenal is the confusion matrix. So, what exactly is this matr...

The Confusion Matrix Metrics

Discuss·1 like·5 reads

Machine Learning

Clark Gray

clarkgray.hashnode.dev·Dec 26, 2023

Dec 26, 2023

The Golden Swing

In February 2019, I was first introduced to the problem golf. At what angle should you lift a golf ball into the air such that it has the maximum range during a strike? 45° ? Obviously, to complicate matters more, we should include parameters such as...

The Golden Swing

Discuss·27 reads

Pius Mutuma

mutuma.hashnode.dev·Dec 19, 2023

Dec 19, 2023

Navigating the Complexity of Imbalanced Datasets in Machine Learning

Data is always dynamic, existing in different forms. Real-world scenarios are continuously changing, thus shifting the data that feeds into machine learning models, leading to what is known as data distribution shifts. These shifts can significantly ...

Navigating the Complexity of Imbalanced Datasets in Machine Learning

Discuss·4 reads

imbalaced datasets

SUBITSHA M

everthingaboutdata.hashnode.dev·Oct 23, 2023

Oct 23, 2023

Cost Function in Linear Regression

In linear regression, the cost function, also known as the loss function or the mean squared error (MSE) function, is used to measure the error or the dissimilarity between the predicted values and the actual target values. The goal of linear regress...

Discuss·1 like·3 reads