DKDivyajot Kaurinai-beginners-journey.hashnode.dev·Jun 11 · 4 min readPart 10: Introduction to Linear RegressionSo far in this series, we've explored datasets, preprocessing, train-test splitting, overfitting, underfitting, bias, and variance. Now it's time to dive into the algorithms that actually make predict00
ACAnik Chandinanikchandml.hashnode.dev·May 23 · 4 min read#8 Linear RegressionLinear Regression is a supervised machine learning algorithm used for predicting continuous numerical values. It finds the relationship between input variables and output variables using a straight li00
ADAditya Dandiainadityand.hashnode.dev·Mar 22 · 1 min readML from Scratch — Episode 1: Linear RegressionLinear Regression from Scratch Why I built it from scratch I knew the math — or thought I did. I could write the formulas, follow the derivations, tick the boxes. But I couldn't see it. Writing the lo00
PPPranoti Patilinai-for-multidisciplinary-application.hashnode.dev·Mar 6 · 4 min read21.2 ID3 (Iterative Dichotomiser 3)ID3 (Iterative Dichotomiser 3) is a popular algorithm used to construct a decision tree for classification problems. It selects the best attribute for splitting the data based on Information Gain, whi00
PPPranoti Patilinai-for-multidisciplinary-application.hashnode.dev·Mar 6 · 4 min read18. Types of Machine LearningMachine Learning (ML) is a subfield of Artificial Intelligence (AI) that focuses on building algorithms and models that enable computers to learn from data and improve with experience without explicit00
PPPranoti Patilinai-for-multidisciplinary-application.hashnode.dev·Mar 6 · 3 min read20.2 Linear RegressionWhy Do We Need a Best Fit Line? Many straight lines can be drawn through the data points, but: The best fit line is the one that minimizes the overall prediction error. This line represents the true r00
PPPranoti Patilinai-for-multidisciplinary-application.hashnode.dev·Mar 6 · 5 min readMultiple Linear RegressionSo far, we have studied Simple Linear Regression, where the prediction depends on only one independent variable. This works well in very simple situations. But let us think about real life for a momen00
PPPranoti Patilinai-for-multidisciplinary-application.hashnode.dev·Mar 6 · 3 min read20.1 Linear RegressionWhat is Linear Regression? Linear Regression is a supervised learning algorithm used to predict a continuous value by finding a linear relationship between input and output variables. In simple words:00
EFEdidiayo Fakunleinlines-of-code-layers-of-growth.hashnode.dev·Feb 3 · 34 min readNot a Model Maker: My Fourteenth Week with DataraFlowI once questioned whether I belonged here and proved it to myself. This week, I taught a machine to think. Not in the sentient, Terminator way, but practically and elegantly, that makes you wonder why anyone ever made predictions manually (for all yo...00
ACAngelic Charlesinnerdyalgorithm.hashnode.dev·Jan 26 · 25 min readWeek 16 with Dataraflow: My Journey Through Advanced Machine Learning - Random Forests, Classification, and Customer Churn PredictionIntroduction Week 16 with Dataraflow was a transformative experience in my data science journey. This wasn't just about running algorithms, it was about truly understanding the "Fail & Fix" philosophy that turns errors into powerful learning opportun...00
