PGDBA - ML-miniproject - Telephone-Data-Churn
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Updated
Apr 2, 2020 - Jupyter Notebook
PGDBA - ML-miniproject - Telephone-Data-Churn
Customer Segmentation Report for Arvato Financial Services
An all usage Topic Modelling system for any English database
Movie Recommendation based on movie plot using LDA Topic Modelling
📷 Generates Text Analytics using Bag of Words. Upload your data and it will suggest the relevant Newsgroups for you.
Detecting COVID-19 with Chest X-Ray using PyTorch from COVID-19 Radiography Dataset on Kaggle
This project focuses on predicting the prices of Bitcoins, the most in-demand cryptocurrency of today's world.
This is based on a data challenge from the Michigan Data Science Team (MDST). The Michigan Data Science Team (MDST) and the Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS) have partnered with the City of Detroit to help solve one of the most pressing problems facing Detroit - blight. Blight violations are issued by…
Estimated annual CO2 emissions from diesel generators at mobile or cell towers
Stock Forecasting System using AWS forecast.
This project is about creating a machine learning model that can predict the house value based on the given dataset. We use different machine learning algorithms such as linear regression, decision tree and random forest to train the model, and the model that gives the best performance is used to predict the house value for new data.
Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.
Machine Learning / Data mining project in python. In this project, various classification algorithms such as Decision Tree, k-nearest neighbours, random forest and support vector machine have been implemented from scratch and have been applied on banknote authentication dataset. The goal of this project is to calculate and compare the accuracy o…
A Chronic Kidney Disease prediction machine learning model
We solve a regression problem in which it consists of calculating the health insurance charge in the United States Where we will break down the project into 5 phases: Exploratory Analysis. Feature Engineering. Selection of the ideal model. Development of the final model. Creation of a web application in streamlit.
Car Price Prediction Project through Machine Learning Algorithm with Video Implementation
My separate term project for the course Introduction to Machine Learning (offered by University of Helsinki's Master's Programme in Data Science), spring 2021.
This is a restaurant reviewer model which was bulit using the concept of NLP. It was built Jupyter notebook on python version 3.10.
This project guides the user till they perform correct yoga pose.
Moving Object Detection with python using openCV
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