Detection of Dementia
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Updated
May 25, 2021 - Jupyter Notebook
Detection of Dementia
Check rental caps in berlin and indicate the fraud by the predication of webscarpped the rent details.
Credit risk analysis using Machine Learning Models. Coded using Python in Jupyter Notebook.
A game of m, n, k-Tic-tac-toe. At the beginning the user chooses the values of m, n, k, and the type of AI that they will play against. Each type of AI can also play against each other.
Data Set of 2018 and 2019 IPL matches were chosen to predict runs scored by players in 2020. Exploratory Data Analysis was done on data set followed by ensemble model XGBoost to get accuracy of 99.6%
Azure Database Notebooks, for TSQL, SSIS Report Server, Custom Functions and Stored Procedures.
Credit Card Fraud Detection
Exploratory Data Analysis on Students Performance
Face Swap is a public Python project that enables you to swap faces with someone. It can be used with photos, videos, and even a live camera.
Fake news Detection analysis using machine learning
Environment: Python | A simple project - Jupyter Notebook to answer given questions related to various python usage.
Unsupervised machine learning to preform principal component analysis, and use clustering to determine trends in different crytocurrencies.
Fake dataset for data analysis testing purpose
A Jupyter Notebook with some training code snippets. Shared for testing Jupyter and Binder.
This artificial neural network (ANN) was trained on patients with COVID-19 based on pre-conditions such as age, obesity, hypertension, etc. The model was created with PyTorch on Juypter Notebook.
Customer Churn Analysis
This repository contains mini projects in machine learning in deep learing with notebook files
Work for Quantitative Literacy 1.1
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