Karma of Humans is AI

Data Science, ML & DL Notebooks

Notebooks on PCA(Principal Component Analysis)

Collection of Machine Learning Notebook files

Jupyter notebook for Principal component analysis (PCA). using sklearn

Repository for the Wine K-Means Clustering Kaggle notebook.

NLP demos and talks made with Jupyter Notebook and reveal.js

Collection of example Jupyter Notebooks and R Markdown files for predictive analytics

All the Data Analysis exploration projects will be present here either as jupyter 📓 or 🐍 code.

This repository contains a highly detailed notebook that serves as an assignment for the Data Analysis course at the Higher School of Computer Science ESI. The notebook covers the topic of PCA (Principal Component Analysis), providing thorough explanations and examples.

A list of machine leaarning tasks carried out in a set of series spread across 3 Colab Notebooks

Module 10 - Using python programming and unsupervised learning, I am creating a notebook that clusters cryptocurrencies by their performance in different time periods. Then I will plot the results for a better visual

This project used a Kmeans after PCA model to segment retail customers to optimize marketing efforts. When the model repeatedly returned a single cluster, the model was used to prove the customers' homogenous characteristics. Influenced the bank's marketing strategies and initiatives. Developed in Jupyter Notebook with Python for FNB.