Machine Learning
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May 29, 2026
This notebook teaches you how to build a Random Forest Regressor from scratch using Python and scikit-learn, applied to the...
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May 29, 2026
Here I use RFC to show its application in finance domain to predict if a loan granted to a person...
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May 29, 2026
This notebook teaches you how to build a Random Forest Classifier from scratch using Python and scikit-learn, applied to a...
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May 27, 2026
Here we will understand how logistic regression models a binary outcome in stocks. The features would be RSI, Moving Averages,...
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May 26, 2026
This notebook builds a simple categorical Naive Bayes classifier to predict whether a customer will buy a product based on...
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May 26, 2026
Here I show how to design a signle neuron using numpy library numpy_for_NN In [2]: import numpy as np import...
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May 26, 2026
Linear Regression is one of the simplest and most important Machine Learning algorithms used for predicting numerical values. It helps...
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May 26, 2026
Logistic Regression is one of the most popular and beginner-friendly machine learning algorithms. Despite having the word “regression” in its...
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May 26, 2026
A Naive Bayes Classifier is a simple yet powerful machine learning algorithm used to classify data into categories. It’s based...
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May 23, 2026
Bayesian_credit_risk In [ ]: Dataset source: https://www.kaggle.com/datasets/laotse/credit-risk-dataset STEP 1: LOAD THE CREDIT RISK DATASET¶ In [36]: # Import pandas import...
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