Repository to store code and study material for the Internship
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Updated
Dec 9, 2023
Repository to store code and study material for the Internship
Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami. Data Description
Task : Build a classification model which will be able to distinguish between spam/not spam.
Kickstarter Campaign Success Prediction with ML Classification Algorithms
Model using machine learning algorithms to determine loan approval for customers.
For this group project, I performed cluster analysis and classification using Python to predict one of three classes for water pumps; functional, functional but needs repair, and non-functions. I used clustering to find hidden data structures to exploit for fitting individual classification techniques with better results than using the entire da…
The goal of this project is to create a reliable service for banks and other credit card issuance companies that helps to detect clients who will default on the credit repayments given some highlighted features of the client.
This is non-optimized code intended solely to test whether or not quantum classification works with amplitude encoding.
A detailed look from seven different classification algorithms.
An exercise repository for classification with iris dataset
Build and evaluate classification model using PySpark 3.0.1 library.
We load a historical dataset from previous loan applications, clean the data, and apply different classification algorithms on the data.
实现对信贷数据的数据预处理,数据分析。之后利用多种分类算法对公司是否违约进行预测。Realize the data preprocessing and data analysis of credit data. Then, it uses a variety of classification algorithms to predict whether the company defaults.
The project deals with predicting the number of persons killed based on the contributing factors such that necessary precautions and actions can be taken in order to avoid the accidents and reduce the death rates and injuries of the person in the New York city.
This is a Machine Learning model designed to analyze various factors that contribute to Employee Turnover including job satisfaction, last evaluation, number of projects, average monthly hours, time spent in company, accidents at workplace, promotion in 5 years, department and salary.
Content maturity rating method for artistic social communities
Predicting success of Bank Telemarketing Calls: Implementing and Comparing various ML classification algorithms
Data Science notebooks and report
Let’s practice and become familiar with classification algorithms.
🟣 Classification Algorithms interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.
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