PinnedPratik Shukla…And I Almost Died the Other Day!The story of how I miraculously survived the most uninteresting death!Jan 21, 2023Jan 21, 2023
Pratik ShuklainTowards AIGradient Descent Algorithm ExplainedWith Step-By-Step Mathematical DerivationJun 21, 20201Jun 21, 20201
Pratik ShuklainNightingaleOcean Waves (Sinusoidal) RegressionExploring the sinusoidal wave as a mathematical curve in PythonJun 18, 20202Jun 18, 20202
Pratik ShuklainHeartbeatA Comprehensive Guide To Logarithmic RegressionAll you need to know about this foundational technique for data science and machine learningJun 9, 20203Jun 9, 20203
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…May 22, 2020May 22, 2020
Pratik ShuklaMultivariable Linear Regression Using Normal EquationPrediction based on more than one features.May 21, 2020May 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…May 21, 20201May 21, 20201
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…May 20, 20201May 20, 20201
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.May 20, 2020May 20, 2020
Pratik ShuklaError Calculation Techniques For Linear RegressionI hope you and your model are doing good !May 18, 2020May 18, 2020
