bitesizedml

Welcome to BiteSizedML - your quick reference for Machine Learning terminologies. This open-source repository simplifies ML jargon with crisp, one-line explanations. Ideal for ML beginners, enthusiasts, or anyone needing a refresher, it serves as a mini dictionary for navigating the ML landscape.

boston-house-price-prediction

Boston House Price Prediction has been done using 2 Machine Learning Algorithms which are Linear Regression (LR) and Support Vector Machines (SVM) and results of both the algorithms have been compared at the end also to find out which one performs the best

breast-cancer-detection

I have performed Univariate and Bivariate analysis of Breast Cancer Dataset available on Kaggle and applied KNN for prediction of Breast Cancer

breast-cancer-detection--new

This project is focused on the early detection and treatment of breast cancer using machine learning techniques such as Support Vector Machines (SVM), K-Nearest Neighbors (KNN) and Random Forest.

data-science

This repository has files from my 60-Day Data Science (Learning from scratch) self-learning challenge and I am also documenting it on Instagram account "wadeedmadni.ipynb"

github-profile-guide

GitHub Profile Optimization Guide for newbies with link and references

netflix-eda-recommendation

EDA is performed using different python libraries and to make a basic recommendation system

sample.io

test

wadeedmadni

wadeedmadni.github.io