📊 Data and notebooks for data cleaning and transformation

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Provides useful Tools & Statistics of games made by Winterpixel Games! This website is not affiliated with or endorsed by Winterpixel Games Inc.

This GitHub repository is a valuable resource for machine learning and Python enthusiasts. It includes a wide range of projects and tools, covering topics like Data Visualization, Data Analysis, ML, DL, Automation, NLP, Web Scraping, and more. Contributors are welcome to join and learn together in this supportive community. Happy coding!

The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.

Heart failure is a severe condition in which the heart is unable to pump blood effectively. Early prediction of heart failure can significantly improve patient outcomes. This project aims to build a predictive model using machine learning techniques to identify patients at risk of heart failure.

Exploratory Data Analysis on Student Performance

Welcome to the repository for the Indian Startup Funding Analysis project. This data analysis project was commissioned by a newly funded Indian startup. Our primary goal is to provide valuable insights and actionable recommendations that will help optimize fund allocation, enhance operational efficiency, and drive sustainable growth.

Exercises on Machine Learning

Data analysis on Planetary Systems data from the NASA Exoplanet Archive.

In this part of the project, we implement ResNet-18 from scratch using PyTorch and train it on an image dataset to achieve over 75% accuracy. We apply techniques to prevent overfitting and optimize performance, aiming for an accuracy of 80% or higher.

Classifying the genre of a music using deep neural networks.

This project implements a Transformer model from scratch using PyTorch, achieving over 80% accuracy on a selected dataset. It includes data preprocessing, model construction, training, and optimization techniques to enhance performance.

Data analytic submission

Python & Julia port of codes in excellent R books

Complete Data Science, NumPy, Pandas, Matplotlib, Seaborn, Statistics, Power Bi, Machine Learning.

Data Science stuff with Python 🐍 and Tableau 📊

My Jupyter notebooks in which I practice data science.

Deep Learnign Neural Regression using Tensorflow