🚞 Skin 🚒 Cancer 🚂 Classification 🚋 is a computer ✈ vision and 🚀deep learning 🛼 that uses 🛸 Convolutional ⛱ Neural 🌈 Networks to 🚤 classify 🕌 skin lesions 🏘 and detect 🏟 potential 🏜 skin cancer 🏛 from 🏬 dermatology 🏥 images The 🚄 project aims 🏯 to support ⚽ early diagnosis ⚾ and treatment 🥎 through AI 🏐 powered image 🥊 analysis

Feature selection comparison in breath cancer dataset

Real time Face mask detection Model.

this repository is part of combined disease prediction repository

A Machine Learning model to detect Toxic comment on Kaggel dataset.

This project was done to fulfil the Machine Learning Terapan 1st assignment submission on Dicoding. The domain used in this project is manufacturing control process, especially pressure control.

Air quality prediction system model check readme for details

I thoroughly examined the Titanic dataset on Kaggle, honing my skills in data exploration and analysis. This practice session allowed me to delve into the intricacies of the dataset, uncovering valuable insights and enhancing my proficiency in deriving meaningful conclusions from data.

My approach and solution

SQL-based analysis of 50,000+ Google Play Store apps. Explore top apps, categories, and developers using advanced queries, window functions, and aggregations.

A data analysis project using Python to explore, visualize, and understand trends in Netflix's global content catalog — from genres and durations to ratings, release years, and countries.

A DL project that helps in identifying Foliar disease in apple trees weather its leaves are healthy, are infected with apple rust, those that have apple scab, and those with more than one disease.

Credit Card Fraud Detection using Logistic Regression algorithm

This project predicts whether a loan application will be approved or not using machine learning classification models. The dataset used is from Kaggle’s Loan Prediction problem. The goal is to build a robust model to assist banks or financial institutions in making automated loan approval decisions.

End to end portfolio project using Kaggle API and data manipulation using the pandas library in Python and visualisation in Tableau.

Code for competition