## Multilayer Perceptron Using Majority Function From Scratch

Multilayer Perceptron (MLP) We all know that single layer perceptron are commonly used to classify problems that are linearly separable. If we choose a single layer perceptron for a non-linearly separable problem, the results may not be successful. As a result, we must look for an alternative solution to a non-linear problem, and one such […]

## Beyond and Within EDA: Taking EDA into Modelling

Beyond and Within EDA Introduction This blog is the continuation of the previous blog post A General Way of Doing EDA. Please follow that before reading this blog. Once we got the knowledge of the data like its properties and features, we can move ahead by taking that knowledge to make some sort of inference. […]

## Single Layer Perceptron From Scratch

This blog contains the introduction to perceptron using Python. Artificial Neuron Network The term "neural network" refers to an artificial neural network (ANN) (NN). It is a computational paradigm that is inspired by the way the human brain or nervous system performs computation. Perception, pattern recognition, motor control, and other computations are all performed by […]

## Monte Carlo Simulations in R

Monte Carlo Simulations What is Monte Carlo Simulations? One of the main motivations to switch from spreadsheet-type tools (such as Microsoft Excel) to a program like R is for simulation modeling. R allows us to repeat the same (potentially complex and detailed) calculations with different random values over and over again. Within the same software, […]

## A General Way to Perform an EDA

EDA: Introduction Hello everyone, welcome back to another new blog where we will explore different ideas and concept one could perform while performing an EDA. In simple words, this blog is a simple walk-through of an average EDA process which might include (in top down order): Data Loading: From various sources (remote, local) and various […]

## Polynomial Regression Model in R

Polynomial Regression Curve fitting or curve-linear regression are additional words for the same thing. It is used when a scatterplot shows a non-linear relationship. It’s most typically employed with time series data, but it can be applied to a variety of other situations. Let’s use the Nepal Covid data and fit a polynomial models on […]

## Nepali News Classification Using Naive Bayes and Decision Tress

Naive Bayes for Nepali News Classification Hello everyone, welcome back to our blog about news classification and in this blog, we are going to explore Naive Bayes for news in our native language Nepali. I started this project nearly a year ago but I never finished it because I did not know anything about it […]

## Nepali News Classification Using Logistic Regression

Logistic Regression for Nepali News Classification Hello everyone, and welcome back to my news categorization blog. In this blog, I’ll be looking into Logistic Regression for news in Nepali, which is our native language. I started this project almost a year ago but never finished it because I had no idea what I was doing […]

## Python for Stock Market Analysis: Alpaca API

Introduction Alpaca Trading API is an API using which we can retrieve stock data in realtime. It provides various APIs and even streaming services. Please read about it in their docs. What is most exciting about this API and the librariy is that it returns the data as a Pandas Dataframe or even simple Dict […]

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