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Projects in Awesome Lists tagged with ml-algorithms

A curated list of projects in awesome lists tagged with ml-algorithms .

https://github.com/m0hc3n/machine-learning-algorithms-from-scratch

This repository gathers the essential Machine Learning algorithms coded from scratch using only numpy and sklearn

machine-learning ml ml-algorithms numpy supervised-learning unsupervised-learning

Last synced: 26 Apr 2025

https://github.com/imsanjoykb/uber-rides-prediction-flask-deploy

This repository consists of files required to deploy a **Machine Learning** Web App created with **Flask**

data-science data-visualization deployment flask machine-learning ml-algorithms predictive-modeling uber-rides-prediction

Last synced: 15 Feb 2025

https://github.com/abdullahashfaqvirk/Amazon-Laptop-Price-Prediction

Developed an Amazon laptop price prediction tool using machine learning algorithms, integrated with a Streamlit app for an interactive user experience.

amazon data-science machine-learning ml-algorithms ml-models prediction-model python streamlit tool

Last synced: 11 May 2025

https://github.com/abhayanigam/machine_learning

Machine Learning Concepts And Models using Octave and Jupyter Notebook

algorithms jupyter-notebook machine-learning machine-learning-algorithms matlab ml-algorithms ml-models model octave

Last synced: 17 Jun 2025

https://github.com/faizanzaheergit/ddos-detection-ml

Various supervised machine learning techniques on the highly optimized NSL-KDD dataset to create an efficient and accurate predictor of possible intrusions on a network.

artificial-intelligence csv-files data-science data-science-projects dataset ddos-detection machine-learning matplotlib matplotlib-pyplot ml-algorithms python python-machine-learning sklearn

Last synced: 25 Feb 2025

https://github.com/md-emon-hasan/machine-learning_from_wscube_tech

Machine learning projects and tutorials, showcasing practical applications and implementations using Python and various machine learning libraries.

data-science machine-learning machine-learning-algorithms ml ml-algorithms supervised-learning unsupervised-learning

Last synced: 02 Mar 2025

https://github.com/thesaltree/faciesclassification-using-ml

Rock facies classification using well log data employing ML algorithms

facies-classification ml-algorithms resistivity well-logs

Last synced: 24 Feb 2025

https://github.com/u66u/neural-xor

Sample implementations of neural networks that solve the XOR problem from scratch in different languages

eigen machine-learning machine-learning-algorithms machinelearning ml ml-algorithms neural neural-network neural-networks nnet xor xor-problem

Last synced: 28 Mar 2025

https://github.com/waghraj1699/ipl-win-probability-predictor

Web app to predict live probability of win percentage of match

data-preprocessing machine-learning ml-algorithms numpy pandas

Last synced: 28 Mar 2025

https://github.com/rid17pawar/sentiment-analysis-model-experiments

Experiments in the field of Sentiment Analysis using ML Algorithms namely Logistic Regression, Naive Bayes along with tfidf, one hot encoding, bag of words vectorization. Different MLP and RNN models viz. LSTM, GRU, Bidirectional LSTM. Lastly, state of the art BERT model

bag-of-words bert bidirectional-lstm gru logistic-regression lstm ml-algorithms naive-bayes neural-networks one-hot-encoding rnn sentiment-analysis sentiment-classification text-vectorization tfidf tfidf-vectorizer transformer-architecture twitter-sentiment-analysis

Last synced: 11 Mar 2025

https://github.com/lokranjanp/ml_math

Implementing all the math in basic ML algorithms by scratch using only Numpy

machine-learning mathematics ml-algorithms

Last synced: 23 Feb 2025

https://github.com/binoydipu/ml-algorithms

Fundamental Machine Learning algorithms implemented from scratch using Python.

machine-learning ml-algorithms ml-algorithms-from-scratch

Last synced: 09 Apr 2025

https://github.com/virajbhutada/diamond-price-estimator

This project develops a predictive model to estimate diamond prices based on characteristics like carat, cut, color, and clarity. It covers data preprocessing, feature engineering, model selection, training, and evaluation. The final product is a web app where users can input diamond attributes to get accurate and instant price predictions.

cross-validation css data-analysis data-science-projects data-visualization eda feature-engineering html hyperparameter-tuning jupyter-notebooks machine-learning ml-algorithms model-deployment model-selection performance-optimization predictive-modeling python python-app user-interface

Last synced: 27 Feb 2025