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
Kickstarter Campaign Success Prediction with ML Classification Algorithms
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.
Use of classification supervised learning algorithms as a tool to perform predictive analysis over whether a mammogram mass is benign or malignant
Detection and Recognition of faces using ML Classification Algorithms, Neural Networks, Siamese Network and face-recognition library at Python
Content maturity rating method for artistic social communities
A Python GUI project to compute the results of Data Mining Classification Algorithms: Naive Bayes & ID3 Decision Tree.
This repository includes python code to check various Machine learning classification algorithms like KNN, Decision Tree, SVM and Logistic regression. It compares accuracy of different classification algorithms with jaccard_score, F1_score and log_loss.
LENS: Learning ENSembles using Reinforcement Learning 2017 (v1.0)
This project aims to develop a machine learning model that can accurately classify an individual's credit score between ["Good", "Standard","Poor"]. The model was trained using a supervised learning algorithm, Random Forest, on a dataset of credit score data.
Predicting Mountain Goats Album Era with Sentiment Analysis
This repo contains machine different learning algorithms.
Identify a list of customers who will subscribe to Term Deposit Account using the classification problem
This repository serves as a storage space for classification projects. Organized by projects, each directory houses code files, documentation, and dataset necessary for running and understanding the project. Feel free to explore the projects. Reach out for inquiries, feedback, or collaboration opportiunities.
Nursery Admission Prediction uses Machine Learning classification algorithms to categorize whether the candidate is priority, recommended or not recommended to be admitted.
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