A machine learning project using the data from this Kaggle competition: https://www.kaggle.com/c/random-acts-of-pizza

Machine Learning singkat dalam Python Jupyter notebook

This is an A/B testing project that was made to see if a new version of a sign up button in a website is better than current one.

Automated construction practices.EC2,RDS,Wordpress,Jupyternotebook,GitLab

Chest Cancer Classification is an Classification Project, in where the model classifies if the person is affected by Chest cancer or not, based on the inputed image

web scrapping : (Website: Wikipedia)from list of large companies in india using BeautifulSoup and convert it to a .csv file

Exploratory Data Analysis for Covid-19 data and deploying the result on ngrok with jupyter notebook

Towards Improved Meta-Learned Optimizers: Investigating the effect of L2-regularization on learned meta-optimizers. Research done for the AML course in Fall 2021/2022.

Pandas project analyzing possible correlation between school budgets and student results

Rainfall prediction in Australia using different models

Data Science Capstone Project on SpaceX Launches This repository contains Jupyter notebooks exploring and analyzing SpaceX launch data. Includes data collection, EDA, machine learning, and data visualization.

Discover the correspondence of Alexander von Humboldt with data visualisations in your browser.

Pandas dataframe structured analysis of district-wide student standardized testing scores

Clustering and Deployment of ML model in Heroku using FLASK

Kai's blog on data science

GRADIENT DESCENT PROJECT ON BOSTON DATASET | GRADIENT DESCENT PROJECT ON COMBINED CYCLE DATASET | GRADIENT DESCIENT BASICS

FLIX-HUB is a movie recommendation system utilizing the Netflix dataset. It features comprehensive data preprocessing and analysis, generating personalized movie and TV show suggestions based on TF-IDF vectorization and cosine similarity. The project includes interactive visualizations for insights into content trends and distributions.

This project features an image scraper built with Python, designed to extract images from websites efficiently. Using libraries like BeautifulSoup and Requests, it automates the process, making it easy to gather images for various applications, from data analysis to creative projects.