Predict a Pulsar Star using Stochastic Gradient Descent, K nearest neighbors, Support Vector Machine and Decision Tree classifiers.
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Updated
Feb 10, 2023 - Jupyter Notebook
Predict a Pulsar Star using Stochastic Gradient Descent, K nearest neighbors, Support Vector Machine and Decision Tree classifiers.
This is just a theoretical Machine Learning Model that will analyze the data and determine where the stroke can occur.
python implementation of mmachine learning of different classifiers and their comparison
In this repository, I worked on Mental Health in Tech Survey which includes: Data Cleaning, Data Analysis, Machine Learning, Natural Language Processing and Word Cloud.
Predict fraudulent credit card transactions using TensorFlow, Keras, K Neighbors, Decision Tree, SVM Regression and Logistic Regression classifiers .
Resume Screening Project with proper data visualization. Made using TFIDF Vectorizer, K Neighbors Classifier, and other basic python libraries. Used WordCloud,seaborn for visualization purposes
In this project, the price ranges of mobile phones are predicted based on the features the phone possesses.
In this repository I present some of the models i trained learning the MNIST DB.
Machine Learning K-Nearest Neighbours classification algorithm practice in Jupyter Notebooks.
Car Evaluation Model using K Nearest Neighbors
Data Analysis and Machine Learning Projects
Machine learning / Deep learning / Data analysis notebooks, tools and scripts for learning purpose.
Used several Python libraries to make a K-Nearest Neighbor classifier that is trained to predict whether a patient has breast cancer
Mini project repository where we have implemented Credit card fraud detection using encoding, SMOTE-ing and KNN.
The aim of this paper is to review existing methods already available in the literature, and present a research into the use of smartphones for classification of unpaved roads utilizing the machine learning techniques including K-Nearest Neighbor (KNN) and Support Vector Machines (SVM).
Doing algorithms on next sets of data
Identifying the conspirators in Enron fraud using Email Data
Iris Data : Classification / Pattern Recognition, Predict the Class of Flower based on Available Attributes.
Use Machine Learning Models to predict customers' Behaviour if they'll buy our term insurance policy.
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