PinnedPratik Shukla…And I Almost Died the Other Day!The story of how I miraculously survived the most uninteresting death!11 min read·Jan 21, 2023----
Pratik ShuklainTowards AIGradient Descent Algorithm ExplainedWith Step-By-Step Mathematical Derivation8 min read·Jun 21, 2020--1--1
Pratik ShuklainNightingaleOcean Waves (Sinusoidal) RegressionExploring the sinusoidal wave as a mathematical curve in Python11 min read·Jun 18, 2020--2--2
Pratik ShuklainHeartbeatA Comprehensive Guide To Logarithmic RegressionAll you need to know about this foundational technique for data science and machine learning12 min read·Jun 9, 2020--3--3
Pratik ShuklainDataDrivenInvestorComplete Guide On Linear Regression Vs. Polynomial Regression With Implementation In PythonIn my previous articles I wrote about how we can plot regression line for our dataset . That was cool right! But there was also a problem…7 min read·May 22, 2020----
Pratik ShuklaMultivariable Linear Regression Using Normal EquationPrediction based on more than one features.5 min read·May 21, 2020----
Pratik ShuklaImplementation of Simple Linear Regression Using Normal Equation(Matrices)In the last article we saw how we can derive the Normal Equation. So in this article we are going to solve the Simple Linear Regression…8 min read·May 21, 2020--1--1
Pratik ShuklainThe StartupLinear Regression With Normal Equation Complete Derivation (Matrices)Normal Equation is an analytic approach to Linear Regression with a least square cost function. We can directly find out the value of θ…5 min read·May 20, 2020--1--1
Pratik ShuklaIntroduction To Matrices (For Machine Learning)In this article I’m going to show some basic operations that we can perform on matrices like addition, multiplication, adjoint and so on.10 min read·May 20, 2020----
Pratik ShuklaError Calculation Techniques For Linear RegressionI hope you and your model are doing good !4 min read·May 18, 2020----