Rakend Dubba Computational Engineer | Data mining | Machine Learning

Simple Linear Regression using PyTorch

Comparing SLR with and without PyTorch

Spacy Introduction

Basics, part 1

Edit docx files

Modifying docx files using python script

Jupyter hacks

Using python code and Jupyter notebook application

Temperature Gradient Matrix

Using Seaborn to generate heatmap and plot annotation

Bubble Plot

Plotting Indian state features using matplotlib

Quantifying quality of predictions

Confusion matrix, Accuracy score, Classification report using a made up data

Decision Tree from the scratch

ID3 algorithm

Multivariate Logistic Regression

Multivariate/Multiple Logistic regression from the scratch

Univariate Logistic Regression

Logistic regression from the scratch

Multiple Linear Regression model using Gradient Descent

Continuation of Simple Linear Regression model. And cool animation

Simple Linear Regression model using Gradient Descent

Gradient Descent from the scratch and sci-kit learn methods. And cool animation

To check convergence

Python script to check residuals convergence of unsteady simulations

Automate Image conversion

Using python code and Jupyter notebook application

Visualization Sparse Matrix

About sparse matrix and visualization

Opening Google maps

Check location and routes between places using Python script

Sorting Points

Python script to sort the neighboring points of a 2D profile

Visualizing Potential flow

Using python code and Jupyter notebook application

2D Laplace Problem

Trying to solve Laplace problem with Drichlet boundary conditions

Python code for fun quiz

Simple code for randomly generating questions from dictionary and checking for answers

Dot product without numpy

Todo dot product using numpy is simple task, whereas if you desire to do without using numpy just follow the proceeding code.