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Projects in Awesome Lists tagged with machinelearning-python

A curated list of projects in awesome lists tagged with machinelearning-python .

https://github.com/sushantnair/ml

A collection of experiments I have performed for the course "Machine Learning" as part of the curriculum for Semester 6 of TY B. Tech. Computer Engineering at KJ Somaiya College of Engineering.

decision-tree-classifier feature-engineering gini-index machine-learning machine-learning-algorithms machinelearning-python ml pandas sklearn

Last synced: 05 Apr 2026

https://github.com/avinashyadav16/machine-learning-for-everybody

This is a folder that contains the codes, data files and notes from the course that was sponsored by the FreeCodeCamp and taught by Kylie Ying.

freecodecamp freecodecamp-curriculum freecodecamp-project machine machine-learning machine-learning-algorithms machine-learning-library machinelearning machinelearning-python

Last synced: 19 Apr 2026

https://github.com/meet-c-viradiya/quantum-workflow

Quantum-enhanced workflow scheduling optimizes multi-processor resource allocation using DAGs and a hybrid quantum-classical approach, visualized via advanced tools. QUBO problem formulation ensures efficiency.

cpp drug-design hpc machinelearning-python nisq pipelines qiskit qiskit-metal quantum-algorithms quantum-chemistry quantum-machine-learning transmon-qubit unitaryhack workflow-automation

Last synced: 29 Apr 2026

https://github.com/riddhis2226/titanic-survival-data-analysis

Titanic-Survival-Data-Analysis : Analyze passenger data from the Titanic to predict survival based on features like age, gender, class, and fare.

data-analysis data-mining data-science data-visualization database jupyter-notebook machine-learning-models machinelearning-python plotlyjs python3

Last synced: 01 May 2026

https://github.com/nitin-sagar-b/fmml_projects_and_labs

My Projects and Lab Submissions of Foundations of Modern Machine Learning course certification offered by IIIT-H.

machine-learning machinelearning-python python3

Last synced: 02 May 2026

https://github.com/annapoorna-a-k/earthquake-prediction-using-linear-regression

Mathematics for Intelligent Systems-2 Project on Earthquake Prediction using Linear Regression

linear-regression machine-learning machinelearning-python python

Last synced: 04 May 2026

https://github.com/1ayanabil1/iris-visualization

This repository focuses on visualizing the Iris dataset using various data visualization techniques. It includes histograms, scatter plots, box plots, pie charts, bubble charts, and KDE plots to provide insights into the dataset’s structure. The project utilizes Matplotlib, Seaborn, Plotly, and Scikit-learn to generate insightful visualizations.

analytics clustering data-analysis data-science data-visualization datavisualization-project datavisualizations eda exploratory-data-analysis machine-learning machinelearning-python python

Last synced: 07 May 2026

https://github.com/belkinmix/imdb-data-analysis-with-python-power-bi

A project analysing a database of 5000 IBDb movies obtained from Kaggle - Data Analysis, Python Coding, Power BI Dashboarding

dashboard dashboards-powerbi kpi kpis machine-learning machinelearning-python power-bi powerbi python

Last synced: 24 Apr 2026

https://github.com/namratagulati/titanic_analysis

The Titanic Analysis project focuses on the analysis of the Titanic dataset, performing data processing using NumPy and Pandas. The project aims to provide insights into the dataset through Univariate Analysis using Seaborn, Bivariate Analysis, correlation matrix generation, fitting a linear regression model, and creating a pair plot of the dataset

machine-learning machinelearning-python model-selection

Last synced: 16 Apr 2026

https://github.com/pratishtha-abrol/mathsformachinelearning-python

A repository with python code for Mathematical concepts of Machine Learning

machine-learning machine-learning-coursera machinelearning-python mathematical-programming

Last synced: 30 Mar 2025

https://github.com/abhi227070/mlops-workflow-automating-model-training-deployment

Car Price Prediction using ML Ops is a project that leverages machine learning to predict used car prices, focusing on automating the entire ML workflow with ML Ops principles for efficient data processing, model training, and deployment.

docker jupyter-notebook machine-learning machine-learning-algorithms machinelearning-python mlflow mlops mlops-project mlops-template python

Last synced: 10 Apr 2026

https://github.com/abhimishra01/music_genre_classifier

Python scripts for preprocessing, training a Music Genre Classifier using Deep Learning :- Multi Layer Perceptron, CNN, RNN-LSTM

cnn deep-learning machinelearning-python multi-layer-perceptron tensorlfow

Last synced: 07 Sep 2025

https://github.com/pradeepkps19/driver_drowsiness_detection

A python application to detect the drowsiness of a driver and alerts with a wake up alarm when the driver feels drowsy.

alarm driver-drowsiness-detection drowsiness frames machinelearning-python opencv python-application

Last synced: 12 May 2026

https://github.com/blarc/lol-dodge-predictor

This repository contains implementation of the related article that was written as a part of Machine learning course at the Faculty of Computer and Information Science at the University of Ljubljana. In the article I describe how decision trees can be used to predict result of League of Legends game by using statistic data of previous games.

decisiontrees leagueoflegends machinelearning machinelearning-python prediction

Last synced: 08 Oct 2025

https://github.com/damisparks/machine-learning

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention

data-science data-visualization deeplearning machine-learning machine-learning-algorithms machinelearning-python

Last synced: 09 Oct 2025

https://github.com/elijahnzeli1/causaltorch

CausalTorch is a PyTorch library for building generative models with explicit causal constraints. It integrates graph-based causal reasoning with deep learning to create AI systems that respect logical causal relationships.

agi causaltorch generative-adversarial-network generative-ai generative-model machine-learning machine-learning-algorithms machinelearning machinelearning-python python-3 python3 pytorch pytorch-implementation transformers

Last synced: 21 Aug 2025

https://github.com/mrseanryan/onnx-cli

Command line tools in Python for working with ONNX files

file-format machine-learning machine-learning-models machinelearning-python onnx

Last synced: 08 Nov 2025

https://github.com/cintia0528/data_science-supervised_machine_learning_classification_housing

The projects aim is to find the to best ML algorithm evaluated on its efficiency in predicting whether homes should be classified as expensive or not expensive.

classification lazypredict machinelearning-python supervised-machine-learning xgboost-algorithm

Last synced: 26 Jul 2025

https://github.com/keythicl/proyectos-python-machine-learning

Colección de proyectos prácticos realizados en el curso de Python y Machine Learning, enfocados en análisis de datos y desarrollo de modelos predictivos.

api machine-learning machinelearning-python powerbi python

Last synced: 09 Apr 2026

https://github.com/saidhanush27/stegoface

StegoFace is a deep learning-based steganography model designed to enhance ID image security by embedding hidden authentication data within facial images. The system ensures tamper detection while preserving image quality and integrity, making it a reliable solution for photo substitution attack prevention.

authentication deep-learning image-processing machinelearning-python neuralnetworks steganography-encoding

Last synced: 30 Mar 2025

https://github.com/namratagulati/fraud_detection

This fulfills all the requirements of a fraud detection model developed on linear regression using feature scaling, engineering and testing model with the help of auc-roc curve and others.

data-analysis data-visualization machine-learning machine-learning-algorithms machinelearning-python

Last synced: 04 Jun 2026

https://github.com/chunche95/intromachinelearning

Introduccion a Machine Learning: Sistemas de regresión & clasificación, algoritmos de clusterización, sistemas de recomendación, Machine Learning. Autor: Paulino Esteban Bermúdez R.

bermudez clasificacion clustering-algorithm github machine-intelligence machine-learning machine-learning-algorithms machine-translation machinelearning-python paulino regresion regression-analysis regression-models

Last synced: 12 Apr 2026

https://github.com/capsuleismail/income-census-prediction

Predict whether annual income of an individual exceeds $50K per annum based on census data. Also known as "Census Income" dataset.

datascience jupyter-notebook machinelearning-python scikit-learn

Last synced: 16 Apr 2026

https://github.com/danyquetzal/azure-ml-previsao-vendas-regressao-linear

🌡️ Predict ice cream sales using linear regression with Azure ML, optimizing production based on daily temperature for improved stock management.

azure azure-devops cloud machine-learning machinelearning-python mlops mlops-cloud mlops-project mlops-workflow

Last synced: 07 May 2026

https://github.com/isshiki/machine-learning-with-python

連載『Pythonで学ぶ「機械学習」入門』(@IT)で使用するノートブックが配布されているリポジトリです。

data-science machine-learning machinelearning-python python scikit-learn

Last synced: 17 Apr 2026

https://github.com/abhinav330/customer-behavior-analysis-linear-regression

This repository explores customer behavior data for an NYC clothing company with both a mobile app and website. They want to understand which platform drives higher sales.

data-analysis data-science data-visualization eda exploratory-data-analysis jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms machinelearning-python numpy pandas python regression-analysis

Last synced: 06 May 2026

https://github.com/bvarjavand/pytorch_paper_implementations

Learning about machine learning with pytorch

machinelearning-python pytorch

Last synced: 10 Jun 2026

https://github.com/capsuleismail/rt-iot2022

RT-IoT2022 is a dataset obtained from a real-time IoT infrastructure. This project aims to compare the accuracy of three machine learning models: XGBoost and LGBMClassifier.

datascience jupyter-notebook machinelearning-python scikit-learn

Last synced: 12 May 2026

https://github.com/capsuleismail/drybeanuci

Data Science Project with Model comparison.

datascience jupyter-notebook machinelearning-python scikit-learn

Last synced: 18 May 2026

https://github.com/richasavant/ml-lab-sept_2023

Machine Learning exercises to grasp foundational concepts

machine-learning machine-learning-algorithms machinelearning machinelearning-python

Last synced: 05 Jun 2026

https://github.com/capsuleismail/parkinsons-telemonitoring-dataset

Dataset used to predict Parkinson’s disease severity based on biomedical voice measurements.

data-science jupyter-notebook machinelearning-python scikit-learn

Last synced: 25 Apr 2026

https://github.com/capsuleismail/spambase

Classifying Email as Spam or Non-Spam with RandomForestClassifier

datascience jupyter-notebook machinelearning-python scikit-learn

Last synced: 28 Apr 2026

https://github.com/vectorsigmaissomewhere/product-recommendation-system

Product Recommendation using TF-IF vector and consine singularity . Used django rest framework and react to show the result.

django-rest-framework machinelearning-python reactjs recommendation-engine recommendation-system

Last synced: 08 May 2026

https://github.com/pritampanda15/machine-learning

Machine learning scripts for bioinformatics projects

bioinformatics machine-learning machinelearning-python

Last synced: 29 Apr 2026

https://github.com/abhimishra01/deeplearningforaudio

This repository contains all necessary deep learning codes, projects and implementations for AI Audio processings and applications

deeplearning machinelearning-python signal-processing tensorflow

Last synced: 29 Apr 2026

https://github.com/aaditya29/kaggle-titanic-jupyter-notebook

The solution of the Kaggle Competition for predicting the survivors in the Titanic Tragedy

kaggle kaggle-competition kaggle-titanic machinelearning machinelearning-python machinelearningprojects

Last synced: 16 May 2026

https://github.com/debanitrkl/atford

the set of programs would be able to detect a pet throough the use of a suitable pre-trained dataset

image-recognition imageprocessing machinelearning-python pet-project petfinder-api tensorflow

Last synced: 29 Apr 2026

https://github.com/junaidsalim/machine_learning_a-z

This repository contains Python implementations of various machine learning models that I studied during the Machine Learning A-Z course.

association associative-learning data-science datapreprocessing jupyter-notebook machine-learning machinelearning machinelearning-python nlp python regression reinforcement-learning

Last synced: 10 May 2026

https://github.com/pratanup/solar-power-generation-prediction

A solar power generation company wants to optimize solar power production and needs the prediction model to predict ‘Clearsky DHI’, ‘Clearsky DNI’, ‘Clearsky GHI’.

anaconda data-analysis data-science google-colab jupiter-notebook machine-learning machine-learning-algorithms machinelearning-python prediction prediction-model python

Last synced: 01 May 2026

https://github.com/theoribbi/nltk-review-analysis

Machine learning school project for sentiment analysis of reviews using Naive Bayes and VADER.

machinelearning-python nltk-python

Last synced: 08 Apr 2025

https://github.com/97k/machinelearning_is_fun

This repo contains all the projects and python notebooks that I am doing to dive deeper in ML.(From Data Preprocessing to more complex models)

100daysofcode jupyter-notebook machinelearning-python

Last synced: 03 Sep 2025

https://github.com/leanh153/dat256x

Essential Math for Machine Learning: Python Edition on edX

ai essential machinelearning-python math python

Last synced: 12 Apr 2026

https://github.com/anand-gith/machinelearning-classification-regression

Classification using Linear and Quadratic Discriminant methods Regression using OLS and Ridge Regression

classification machinelearning-python regression ridge-regression

Last synced: 07 Jan 2026

https://github.com/parthds02/mall-customer-segmentation-using-k-means-clustering

Analyzing customer behavior using Unsupervised Learning to segment shoppers based on Annual Income, Spending Score & Age. Insights help businesses optimize marketing & retention strategies.

datascience datavisualization eda googlecolab kmeansclustering machinelearning-python marketinganalytics retailanalysis

Last synced: 12 Apr 2026

https://github.com/official-imvoiid/colabai-hub

Want to use AI tools but lack a GPU? This repo and Google Colab are your solution!

ai aitools cloudcomputing deeplearning deeplearning-notebooks googlecolab machinelearning machinelearning-python nogpu techforall

Last synced: 16 May 2025