An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
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Updated
Mar 3, 2019 - Python
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM
A recommender system to recommend movies, books or shopping items list based on search.
In this program, I used the KNN model to estimate Iranian universities' entrance exam (konkur) rank, and I also developed a telegram bot so users could use it.
Yoga Pose Detection and classification using deep learning
Analyzing the wisconsin breast cancer dataset using ml algorithms
Problems Identification: This project involves the implementation of efficient and effective KNN classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
The task is to build a machine learning regression model will predict the number of absent hours. As Employee absenteeism is a major problem faced by every employer which eventually lead to the backlogs, piling of the work, delay in deploying the project and can have a major effect on company finances. The aim of this project is to find an issue…
Book recommender api written in flask framework
A Python based project to train a Machine Learning model to detect different hand shapes in real time with multi-threading, using Computer Vision, to control the PC.
Exploring Recommender Systems using various Machine Learning Models like scikit-learn, Surprise, NLP and collaborative filtering using KNN and Tensorflow.
Stock market analsis with python tools
B.Tech final year project (Research Project)
This consists of various machine learning algorithms like Linear regression, logistic regression, SVM, Decision tree, kNN etc. This will provide you basic knowledge of Machine learning algorithms using python. You'll learn PyTorch, pandas, numpy, matplotlib, seaborn, and various libraries.
Loss J's statistical machine learning course. 🚀
Personalized book recommendation system for a user.Similar to Goodreads.
It's an app which takes in voice input of food and amount, Outputs the number of macronutrients and recommends food for a balanced diet.
the challenge : write a KNN Algorithm that 1.Must be able to accept both numeric and categorical features. 2.Must at least perform classification, regression is optional. 3-Use Gower distance (Minkowski’s for continuous and Jaccard for categorical 4.Use Titanic data to predict survival and IRIS to predict type
This is a from scratch implementation of the K-nearest neighbors model in TensorFlowJs
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