In this repository, you can find my work related to Machine Learning topics like Guassian Mixture Model, KNeighbors classification, Naive Bayesian classification etc..

In this project I use different models and hyperparameters to classify fruits types and compare the results of each approach.

peer-to-peer lending, use techniques to train and evaluate Machine Learning models with imbalanced classes to identify the worthy

This GitHub repository hosts a machine learning project focused on predicting customer interest in insurance products. Leveraging various ML algorithms, including decision trees, logistic regression, and ensemble methods, this project analyzes historical customer data to create predictive models.

Analysis on Glass Dataset to find out the category of the class in which it belongs.

Master Decision Trees & Ensembles in Python with this ML notebook! Classification, Regression, Bagging, Boosting, & Tuning. Elevate your ML skills now! 🌲🚀

KNeighborsClassifier for audio files

Machine Learning for Pattern Recognition

Predictive analysis on Telco Churn using various ML algorithms

Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmia), and heart defects you’re born with (congenital heart defects), among others.

Learning with sklearn diabetes and iris flower dataset, single and multiple linear regression, classification with multi-layer perceptron, kneighbors and support vector machines.

Classifying the various quality of wine and analyzing the data led to the prediction of wine quality using some Machine Learning Algorithms.

Different classification algorithms to predict the species of Iris flowers

A stroke Prediction Model

A data-driven project to predict the success of Falcon 9 rocket landings, crucial for cost analysis and competitive strategy in the space industry. Involves data manipulation in Pandas, JSON data processing, and insightful analysis using Python.

Document Classification using Python and scikit-learn and nltk

A basic classification model using KNeighborsClassifier on Iris Dataset.

To predict who's more likely to buy your product

This Repo contains the projects of Data Science Internship assigned by OASIS INFOBYTE SIP for Duration 15 JUNE 2023 to 15 JULY 2023