https://github.com/richardbmk/datascience_machinelearning

projects related with data science and machine learning projects.

data-science machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

Last synced: 11 Apr 2026

https://github.com/elmezianech/email-spam-ham-classifier-nb-hard

Naive Bayes Email Classifier: An implementation of a 'hard' Naive Bayes classifier in Python to categorize emails as spam or ham. This code performs extensive data preprocessing, probability calculations, and model training for email classification using the raw Naive Bayes algorithm.

ai emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering

Last synced: 11 Apr 2026

https://github.com/nikhil-donthusaram/heartdiseaseprediction

Heart Disease Prediction App is a machine learning web application that predicts the likelihood of heart disease based on user medical inputs. Built using a Decision Tree Classifier and deployed with Streamlit for an interactive, user-friendly interface.

data-analysis descision-tree joblib jupyter-notebook machine-learning matplotlib numpy pandas python3 seaborn sklearn streamlit vscode

Last synced: 11 Apr 2026

https://github.com/ritwika-das-gupta/flight_price_prediction

Flight price Prediction is made using decision tree model and Machine learning concepts

cross-validation data-science data-visualization desiciontree flask gridsearchcv html-css-javascript hyperparameter-tuning json machine-learning matplotlib numpy pandas pickle python scikit-learn sklearn statistics supervised-learning

Last synced: 11 Apr 2026

https://github.com/junaidsumsaal/advanceparkingsystem

Its a web application that integrates AI-powered parking spot predictions, real-time notifications, and role-based dashboards for Drivers, Attendants, and Providers. This system is designed to streamline parking operations, enhance user experience, and leverage machine learning for future availability predictions.

axios-react chakra-ui-react data-science met metrics ml numpy pand python3 react sklearn tailwindcss typescript

Last synced: 11 Apr 2026

https://github.com/reubenmathew/docscanner

📸 Document Scanner using an OpenCV Edge Detection Engine

flask numpy opencv python

Last synced: 11 Apr 2026

https://github.com/vansh-py04/convolution-net-from-scratch

A minimal NumPy-based implementation of a 3-layer convolutional neural network (CNN) from scratch — including custom forward and backward passes for conv, ReLU, pooling, affine, and softmax layers. Perfect for learning how CNNs actually work under the hood.

backpropagation cnn computer-vision convolutional-neural-networks cs231n cs231n-assignment deep-learning from-scratch from-scratch-in-python fully-connected-network machine-learning maxpool2d nueral-networks numpy softmax stanford-deep-learning

Last synced: 24 Apr 2026

https://github.com/sudarsann27/basic_machine_learning_algorithms

Basic Machine learning algorithms using scikit-learn and other fundamental libraries

data-science data-visualization ensemble-model kaggle numpy pandas scikit-learn supervised-machine-learning

Last synced: 20 Jan 2026

https://github.com/rutujaingole/jailbreaking-deep-models

This repository contains the codebase for Jailbreaking Deep Models, which investigates the vulnerability of deep convolutional neural networks to adversarial attacks. The project systematically implements and analyzes Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and localized patch-based attacks on the pretrained

adversarial-attacks deep-learning densenet121 fgsm-attack imagenet-classifier jailbreak machine-learning numpy patch-based-attack pgd-adversarial-attacks torch

Last synced: 14 May 2026

https://github.com/adi3042/sensor-fault-detection

🔍⚙️ Ensure Reliable Operations! Detect anomalies and prevent disruptions with our Sensor Fault Detection system. Explore advanced classification and regression techniques to identify and address sensor faults effectively. Your path to robust and accurate sensor data begins here! 🚨🔧 SensorFaultTech

classification css datetime fault-detection flask functools html ipykernel jupternotebook machine-learning numpy pandas python3 readme regression scikit-learn sensor setuptools venv

Last synced: 11 Apr 2026

https://github.com/tanmay-312/pacman-game-python

"Embark on a nostalgic journey with my Python Pac-Man game! 🎮🕹️ Crafted using pygame, tcod, numpy, and enum libraries, it's a modern twist on a classic. Navigate the maze, chomp pellets, and evade ghosts in this retro-inspired adventure! 🚀👻 #PythonGameDev #PacManRevival #ClassicGaming"

enum game game-development gamedev numpy pygame pygame-games python python-3 python3 tcod

Last synced: 22 Apr 2026

https://github.com/alphan26/breastcancerclassification

This project involves a binary classification problem where we applied PyTorch to detect breast cancer.

matplotlib numpy pandas python pytorch

Last synced: 11 Apr 2026

https://github.com/npodlozhniy/dl-tinkoff

This is a warehouse of my homeworks for master MIPT deep learning course from Tinkoff FinTech

deep-learning numpy pytorch

Last synced: 08 May 2026

https://github.com/blacksujit/neural_network_using_numpy_and_math

Inspired from a repo . i have implemented an some ground level maths and logic . In this neural network no tensorflow , pytorch is used it is just prepared by using numpy and some logical math.

algorithmic-composition basics-of-python calculus criticalthinking innovation machine-learning maths neural-network neuralnetworkusingnumpy numpy purebasics

Last synced: 26 Aug 2025

https://github.com/aadrianleo/book-recommendation-system

Book Recommender System using the Book-Crossing dataset. Compares content-based (TF-IDF + cosine similarity) and collaborative filtering (SVD) methods for book recommendations. Includes data cleaning, EDA, and model evaluation (Precision@5, RMSE) in Python.

artificial-intelligence collaborative-filtering content-based-filtering cosine-similarity data-preprocessing jupyter jupyter-notebook machine-learning matrix-factorization numpy pandas predictive-modeling python3 recommendation-system recommender-system scikit-learn sckit-surprise

Last synced: 10 Apr 2026

https://github.com/dmarks84/coursework_project_ml-classification

Project for IBM Data Science course on Machine Learning -- Trained ML models for classification, evaluating based on a variety of metrics

classification communication data-modeling dataframes numpy pandas python scikit-learn supervised-ml

Last synced: 11 Apr 2026

https://github.com/kartmaan/prime-number-analysis

Analysis notebook on prime numbers

analysis conjecture fibonacci fibonacci-numbers fibonacci-sequence math mathematics matplotlib notebook number-theory numpy polyfit prime prime-number-algorithm prime-numbers trends

Last synced: 17 May 2026

https://github.com/2100031988/programming_for_aiml_codes

All of my descriptive code are published here and is updated everyday as I learn new concepts

dataset numpy pandas pipeline python visual-studio visualization

Last synced: 28 May 2026

https://github.com/shahzaibdev355/house-recommendation-backend

House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.

flask flask-api flask-cors numpy pandas scikit-learn tensorflow

Last synced: 05 Jan 2026

https://github.com/niteshchawla/yulu-hypothesistesting

Yulu has recently suffered considerable dips in its revenues. They have contracted a consulting company to understand the factors on which the demand for these shared electric cycles depends. Specifically, they want to understand the factors affecting the demand for these shared electric cycles in the Indian market.

hypothesis-testing matplot numpy pandas-library scipy-stats seaborn

Last synced: 20 Apr 2026

https://github.com/rezapace/number-generator

Proyek ini adalah sebuah program yang digunakan untuk menghasilkan deretan angka dengan langkah tertentu dan menambahkan teks setelah setiap angka. Program ini mendukung berbagai metode untuk menghasilkan angka, termasuk penggunaan CuPy untuk memanfaatkan GPU, serta penggunaan threading untuk meningkatkan kinerja.

colab cupy custom generator jupiter kumal link number numpy pyhon webkumal webkumal-projek

Last synced: 11 Apr 2026

https://github.com/beberiche/jeon-woo-chi

지역 축제를 기반으로 하는, 게이미피케이션을 접목시킨 지역 상권 맞춤 추천 서비스

aws django docker elasticsearch grafana jenkins kibana logstash numpy pandas phaserjs prometheus react react-query recoil redis spring-boot tensorflow typescript zipkin

Last synced: 10 Mar 2026

https://github.com/benjifinance/benjimlmodel

This is the ML model of the Benji Application

ai ai-prediction analyzing-data forcasting matchine-learning ml numpy pandas python3 random-forest

Last synced: 11 Apr 2026

https://github.com/engichang1467/cnn-sign-language

Built a Convolutional Neural Network to train to recognize sign languages

kaggle keras matplotlib numpy pandas sklearn tensorflow

Last synced: 14 Apr 2026

https://github.com/bilalm04/autonomous-lane-detection

An autonomous lane detection system leveraging OpenCV to process images and videos, accurately identifying lanes and providing key visualizations.

artificial-intelligence computer-vision lane-detection machine-learning matplotlib numpy opencv python

Last synced: 20 Jan 2026

https://github.com/pymivn/vinastats

Khám phá các sự thật ở Việt Nam với thống kê và số liệu từ tổng cục thống kê Việt Nam

numpy pandas statistics vietnam

Last synced: 02 Apr 2026

https://github.com/dataspieler12345/property-plotly-dashboard

bootstrap css3 dash numpy pandas plotly-dash python3

Last synced: 08 Apr 2026

https://github.com/shwetapardhi/assignment-3-q3-hypothesis-testing

Chi2 contengency independence test image of Buyer Ratio Assume Null Hypothesis as Ho: Independence of categorical variables (male-female buyer rations are similar across regions (does not vary and are not related) Thus Alternate Hypothesis as Ha: Dependence of categorical variables (male-female buyer rations are NOT similar across regions (does v

chi2-contingency contingency-analysis hypothesis-testing norm numpy pandas python scipy stats

Last synced: 12 Apr 2026

https://github.com/maruf346/python-programs

Here some basic python programs are uploaded. Find your needed one. Happy coding!

dict-python list-in-python numpy numpy-exercises pandas-python set-in-python tuples-in-python

Last synced: 16 May 2026

https://github.com/mohith-2002/plotchart

PlotChart is a web application created by the Python library Streamlit.

matplotlib numpy pandas python streamlit

Last synced: 12 Apr 2026

https://github.com/mariiasam/rent-in-brazil

elasticnet-regression joblib lasso-regression linear-regression numpy pandas random-forest-regressor ridge-regression scikit-learn streamlit svr-regression-prediction

Last synced: 12 Apr 2026

https://github.com/bhiogade/hpi-analysis

House price index (HPI) Analysis

data-analysis data-cleaning data-visualization gathering-data numpy pandas-python

Last synced: 30 Apr 2026

https://github.com/jpcadena/ventas-facturas

Ventas con facturas

data data-analysis data-exploration data-extraction data-science excel feature-engineering matplotlib microsoft numpy pandas powerbi product-sales pylint python receipts sales

Last synced: 12 Apr 2026

https://github.com/alwaysvivek/next-word-prediction

🔮 Predicts the next word in a text sequence using either an N-gram statistical model or an LSTM-based neural network.

argparse laplace-smoothing machine-learning neural-network ngrams nlp nltk numpy python3 tensorflow

Last synced: 12 Apr 2026

https://github.com/elhanarinc/deeplearning

Ceng 783 Deep Learning Assignments

ipython-notebook jupyter-notebook numpy python2

Last synced: 06 May 2026

https://github.com/anas436/weather-station-clustering-using-dbscan-and-scikit-learn-with-python

basemap cluster csv dbscan density-based-clustering jupyterlab matplotlib numpy pandas pylab python3 rcparams scikit-learn sklearn warnings

Last synced: 12 Apr 2026

https://github.com/shahsuvarli/election-voters-data-analysis-pandas

Educational project analyzing Azerbaijan voter demographics with pandas, focusing on data cleaning, grouping, and visualization.

cleaning data grouping matplotlib numpy pandas python visualization

Last synced: 12 Apr 2026

https://github.com/3rd-son/movie-streaming-service-analysis

Exploratory Data Analysis of the Streaming Services like Neflix, Hulu, Disney+ etc

data-analysis exploratory-data-analysis jupyter-notebook matplotlib numpy pandas plotly python seaborn

Last synced: 18 Apr 2026

https://github.com/mariam-zaidi/credit_risk_analytics

Performing Exploratory Data analysis for loan application approvals and understanding Risk analytics

exploratory-data-analysis matplotlib numpy pandas risk-analytics seaborn

Last synced: 06 May 2026

https://github.com/allenvox/statistics

Workspace for applied problems of probability theory & mathematical statistics & modelling class

acf autocorrelation distribution k-means k-means-clustering maths matplotlib numpy probability-theory python sklearn statistics

Last synced: 17 Apr 2026

https://github.com/mzayles/iris-seaborn_visualizacao-dados

💻📊✅ Curso de Programação em Python para Data Science | Gráficos utilizando a base de vendas da Seaborn e a biblioteca Matplotlib.

matplotlib numpy pandas python seaborn

Last synced: 24 Mar 2025

https://github.com/sultanazhari/prediction-model-of-customers-leaving

Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.

accuracy-score confusion-matrix logistic-regression-algorithm matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn

Last synced: 20 Apr 2026

https://github.com/kunalshelke90/students_marks_prediction_in_exams

Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization .Later on deployed on AWS with help of docker

dokcerfile flask githubactions machine-learning matplotlib mlops numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/azaz9026/car_price_prediction_model

This repository contains a machine learning model designed to predict car prices based on various features. Using historical data on car attributes such as make, model, year, mileage, and other relevant factors, the model aims to provide accurate and reliable price estimates for used cars.

data-analysis data-engineering liner-regestion machine-learning modeling numpy pandas python3 rendering

Last synced: 09 Apr 2026

https://github.com/tugot17/linear-regression-from-scratch

Linear Regression concepts and intuitions presented using Jupyter Notebooks

from-scratch linear-regression numpy python

Last synced: 11 Jul 2025

https://github.com/djdhairya/laptop-price-prediction

machine-learning matplotlib numpy pandas random-forest random-forest-regression scikit-learn seaborn

Last synced: 06 Jan 2026

https://github.com/aneeshmurali-n/python-tasks

Here we are going to learn data science and python by doing tasks by task

data-science data-visualization exploratory-data-analysis filter lambda lambda-functions map-reduce matplotlib numpy oops-in-python pandas python python-fundamentals regex regular-expression

Last synced: 12 Apr 2026

https://github.com/thariniselvakumar/kidney-disease-prediction

This project is about the kidney disease prediction using machine learning algorithms

machine-learning matplotlib numpy pandas scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/afnanenayet/kaggle-titanic

The classic Kaggle Titanic data science challenge

backprop backpropagation classification classifier data forest kaggle layer learn mlp multi numpy pandas perceptron random science scikit sklearn titanic

Last synced: 12 Apr 2026

https://github.com/data-analysis-python/pandas_api_spark

Uso del API de pandas en Spark

envs jupyter-notebook matplotlib numpy pandas pyspark python3 terminal

Last synced: 12 Apr 2026

https://github.com/armahdavi/mlops

Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.

apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost

Last synced: 12 Apr 2026

https://github.com/lorenzorottigni/ml-random

Machine Learning course of Piero Savastano 7: matplotlib, accuracy_score, precision_score, recall_score, f1_score, classification_report

machine-learning matplotlib metrics numpy

Last synced: 04 May 2026

https://github.com/bhushan148/ipl-stats-analysis

This project explores IPL data to show team and player performances. 📈 Key highlights include analyzing match results, highest scores, and performance at different venues. 🏟️ It uses charts to reveal trends like win margins and average scores by venue. 📉 Discover important insights into what affects match outcomes and team success.

jupyter-notebook markdown matplotlib-pyplot numpy pandas python seaborn

Last synced: 12 Apr 2026

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

The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.

matplotlib numpy python scikit-learn tensorflow

Last synced: 16 Apr 2026

https://github.com/knightkun77/image_classification_project

Image Classification Using Python

keras machine-learning matplotlib numpy opencv python tensorflow tikinter

Last synced: 24 Jan 2026

https://github.com/vasulab/knightshock

Shock tube experiment planning and data analysis package.

cantera data-analysis matplotlib numpy shock-tube

Last synced: 18 Jul 2025

https://github.com/aaaastark/life_expectancy_predication

Life_Expectancy_Predication

dataframe machine-learning matplotlib numpy pandas python sklearn tensorflow

Last synced: 12 Apr 2026

https://github.com/linggarm/fruit-images-search-engine

A Content Based Image Retrieval (CBIR) application of Information Retrieval with fruit images

artificial-intelligence cbir computer-vision content-based-image-retrieval css flask html information-retrieval javascript machine-learning numpy pillow python search-engine tensorflow

Last synced: 12 Apr 2026

https://github.com/shivsharcode/diabetes-prediction-new

DIABETES PREDICTION MODEL

flask jupyter-notebook logistic-regression machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 12 Apr 2026

https://github.com/otuemre/housepricingml

A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.

eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression

Last synced: 13 Apr 2026

https://github.com/reckonsys/datascience-docker

A docker image with numpy, scipy, nltk and pandas pre-installed with pip

docker docker-image dockerfile nltk numpy pandas scipy

Last synced: 10 Mar 2025

https://github.com/andrewzhoumq123/sci_graph_api

Generates different types of detailed plots for scientific data

fastapi h5py json matplotlib numpy pandas scipy

Last synced: 12 Apr 2026

https://github.com/ahmedabdalkreem/animals_classification

This project is dependent to make classification between faces of cats, dogs and wild_animals and use multiple model such as CNN and pretrained model like ResNet and MobileNet and show the result of all model in the image using heatmap to know what is the part that model take decision when see it.

classification cnn heatmap matplotlib mobilenet numpy opencv pandas pretrained-models python restnet

Last synced: 12 Apr 2026

https://github.com/hariprasath-v/av_job-a-thon-august-2022

Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.

exploratory-data-analysis klib machine-learning matplotlib numpy pandas pycaret-library regression seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/ieCecchetti/Python_ML_DL_examples

A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme

bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi

Last synced: 10 Mar 2025

https://github.com/abideen-olawuwo/logistic-regression-house-prediction

Using logistic Regression Model to predict house price

logistic-regression matplotlib numpy pandas python seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/raghavendra317/brain-tumor-detection

A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.

cnn-classification keras numpy opencv scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/aqueeqazam/numpy-for-mathematical-computing

You're at the perfect spot if you're interested in developing your career in data science or machine learning, or if you just enjoy having fun with mathematical operations.

mathematics numpy numpy-arrays

Last synced: 19 Apr 2026

https://github.com/chenshuliu/python-guide-to-numpy

This repository is dedicated to explaining the functionalities of Numpy in Python

data-structures numpy python

Last synced: 18 Jan 2026

https://github.com/supriya811106/whatsapp-chat-analyzer-app

Analyze WhatsApp chats with Python, Streamlit, and data visualization. Explore messaging patterns, content trends, and emoji usage to uncover insights from your conversations.

analyzer-web-app chat-analytics chat-analyzer data-preprocessing data-visualization emojis machine-learning matplotlib natural-language-processing nltk numpy pandas plotly python3 seaborn sentiment-analysis streamlit-webapp text-analysis user-engagement

Last synced: 30 Dec 2025

https://github.com/AsuquoAA/Applied_Data_Science_with_Python_Study

matplotlib numpy pandas seaborn

Last synced: 21 Jul 2025

https://github.com/sudarshanc00/mnist-digit-classification

This project uses a machine learning model to classify handwritten digits (0-9) from the MNIST dataset, a popular collection of grayscale images for image classification benchmarking. It includes a Jupyter Notebook to train a neural network, enabling accurate recognition and classification of digits.

jupyter-notebook matplotlib numpy python tensorflow

Last synced: 12 Apr 2026

https://github.com/trissim/polystore

Framework-agnostic multi-backend storage abstraction for ML and scientific computing

backend data io jax ml multi-framework numpy pytorch scientific-computing storage tensorflow zarr

Last synced: 12 Apr 2026

https://github.com/ompreetham/nlp-sentiment-analysis-document-scoring-method

NLP Sentiment Analysis Document Scoring Method

countvectorizer document joblib nlkt nlp numpy pandas project re scoring sentiment-analysis sklearn

Last synced: 12 Apr 2026

https://github.com/ben854719/wasde-revenue-in-2024

The project will use AI to analyze the revenue from the dataset of the World Agricultural Supply and Demands Estimates.

gemini langchain large-language-models matplotlib numpy pandas-python

Last synced: 12 Apr 2026

https://github.com/nidomika/digit-recognition

Digit recognition project in Python

digit-recognition numpy opencv python tensorflow

Last synced: 12 Apr 2026

https://github.com/renukadhule/crop_production_python_analysis

This project analyzes crop production data in India from 1997 to 2015, identifying trends, seasonality, and top-performing states and crops. The insights aim to guide improvements in agricultural productivity and policy decisions.

matplotlib numpy pandas python

Last synced: 12 Apr 2026

https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis

This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R

classification clustering ipython-notebook jupyter-notebook keras-neural-networks keras-tensorflow machine-learning neural-network numpy python r rmarkdown scikit-learn scipy tensorflow

Last synced: 02 Feb 2026

https://github.com/dan-niles/neural-networks-from-scratch

A neural network implemented using only NumPy and Pandas for CS3631: Deep Neural Networks

neural-networks numpy pandas

Last synced: 05 May 2026

https://github.com/dahsie/machine_learning_from_scratch

This project aims to implement some machine learning basic techniques(e.g. MinMaxScaler, StandardScaler, TD-IDF, PCA, Logistic Regression, LDA, KNN, Naive Bayes Classifier) using only pyton, numpy and pandas. This will enable me to have hone my data scientist skills

classification clustering data data-processing datascience machienlearning nlp nltk numpy pandas python regression

Last synced: 04 May 2026

https://github.com/nilusche/feed_forward_network_py

Implementation of a neural network in python which can predict handwritten numbers from the MNIST dataset.

colab-notebook feed-forward-neural-networks neural-network numpy python

Last synced: 01 May 2026

https://github.com/asuquoaa/cdc_2017_immunization_data_analysis

This project analyzes data from the CDC's 2017 National Immunization Survey Public Use File (NISPUF17) to answer research questions about immunization, child health, and vaccine-related behaviors.

numpy

Last synced: 12 Apr 2026

https://github.com/testetson22/abelian_sandpiles

Simple App that implements, builds and tests an approximation of the Abelian sandpile model

github-actions numpy pytest

Last synced: 12 Apr 2026

https://github.com/chandkund/iris-classification

Iris Classification project using machine learning to classify iris flowers into Setosa, Versicolour, and Virginica species. Includes data exploration, model training with SVM, Logistic Regression, and Decision Tree, and performance evaluation. Contributions welcome! Python, Pandas, Scikit-learn, Seaborn, Matplotlib.

machine-learning matplotlib-pyplot numpy pandas python sklearn

Last synced: 21 Jan 2026

https://github.com/nambukeerthi/youtube_dataproject

Build a Streamlit App – A user-friendly interface. Use Google API – Fetch YouTube channel data. Store in SQL Database – Save channel details for easy access. Search & Join Tables – Allow users to query and view data

api numpy pandas python sql streamlit

Last synced: 09 Apr 2026

https://github.com/yosrak5/predictive_maintenance

End-To-End Predictive Analytics to predict Hardware Maintenance Before it occurs using data preprocessing and Machine Learning classification modeling (XGBOOST , Random Forest )

data-factory data-perspective machine-learning-workbench matplotlib numpy pandas python random-forest seaborn xgboost

Last synced: 25 Feb 2026

https://github.com/murugavl/loan_approval_prediction

This project is a Loan Approval Prediction System that uses Machine Learning to determine whether a loan application should be approved or rejected based on various factors. It is deployed using Streamlit for an interactive user experience.

jupyter-notebook machine-learning numpy pandas python random-forest-classifier scikit-learn stremlit

Last synced: 13 Apr 2026

https://github.com/pedasoft-consult/house-price-prediction

This project is a machine learning-powered web application for predicting house prices based on various features such as area, bedrooms, bathrooms, and more. It uses Flask for the backend and HTML/CSS/JavaScript for the frontend.

flask joblib matplotlib numpy pandas r2 random-forest regression seaborn sklearn

Last synced: 13 Apr 2026

https://github.com/dineshdhamodharan24/industrial-copper-modeling

It seems like you have a project that involves modeling industrial copper data using Python and several libraries such as pandas, numpy, and scikit-learn. This is a common and practical approach, as these libraries are widely used for data manipulation, analysis, and machine learning tasks.

bussiness-solution numpy pandas pickle pickle-file seaborn sklearn-library streamlit

Last synced: 13 Apr 2026

https://github.com/jim-by/tweet-sentiment-analysis

Sentiment analysis of tweets using TextBlob for labeling and RandomForest for classification.

nltk nltk-tokenizer numpy pandas python random-forest-classifier sklearn textblob-sentiment-analysis

Last synced: 13 Apr 2026

https://github.com/ellennewerkla/apriori-analise_cesta_de_mercado

Análise de Cesta de Mercado (Market Basket Analysis) utilizando o algoritmo Apriori para identificar regras de associação entre produtos em um conjunto de transações de supermercado.

apriori-algorithm jupyternotebook marketbasketanalysis mathplotlib mba numpy pandas python3

Last synced: 13 Apr 2026

https://github.com/shahiakhilesh1304/fitbitcasestudy

This is a case study based on data retrieved from a Fitbit band, and we are making predictions about human behavior based on their mood.

case-study data-visualization fitbit jupyter-notebook numpy python3

Last synced: 13 Apr 2026

https://github.com/miss-mhv/udacityproject_dataviz

Data analysis of a bicycle rental system. The goal is to understand how trips are made according to age, time of year, day of the week, time of day

jupyter-notebook matplotlib numpy pandas python3 seaborn-plots

Last synced: 13 Apr 2026

https://github.com/ananyajain2004/fake-news-detection

A python project for detecting fake news using machine learning algorithms.

decision-tree-classifier gradient-boosting-classifier logistic-regression machine-learning numpy pandas python3 random-forest-classifier testing

Last synced: 13 Apr 2026

https://github.com/kartikeya443/handgesture_vol_control

This OpenCV project enables remote control of sound playback using wireless communication. It lets users adjust the master volume of the central device using finger gestures, enhancing convenience and user experience.

mediapipe numpy opencv pycaw wireless-communication

Last synced: 13 Apr 2026

https://github.com/kucera-lukas/imagesecrets

RESTful API for encoding/decoding messages into/from images.

api asyncio docker fastapi heroku mypy numpy pillow poetry postgresql pydantic pytest pytest-cov pytest-mock python python-typing restful-api steganography swagger tortoise-orm

Last synced: 28 Feb 2025

https://github.com/vasu7052/recognizing-handwritten-digits

This is a machine learning project created in Python using Neural Networks and Supervised Learning Algorithms.

machine-learning machine-learning-algorithms numpy python scikit-learn

Last synced: 13 Apr 2026

https://github.com/veb-101/deeplearning-specialization-coursera

My Solutions to the course Deeplearning.ai

deep-learning jupyter-notebook keras matplotlib numpy pandas python3 tensorflow

Last synced: 13 Apr 2026

https://github.com/mehwishferoz/data-analysis-with-python-zero-to-pandas

This repository contains the Python code and projects I created while learning the Data Analysis with Python: Zero to Pandas course. The course covers essential topics such as data cleaning, analysis, and visualization using powerful Python libraries like Pandas, NumPy, Matplotlib, and Seaborn.

exploratory-data-analysis jovian matplotlib numpy pandas seaborn

Last synced: 10 May 2026

https://github.com/ljadhav25/data-engineering-poc

This repository contains a beginner-level Data Engineering Proof of Concept (POC) project designed for practice. The objective is to provide hands-on experience with data engineering concepts, including data extraction, transformation, loading (ETL), and basic data analysis. This project is ideal for those looking to build foundational skills in da

data-analysis etl matplotlib numpy pandas python

Last synced: 13 Apr 2026