NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/cr00z/dlschool_adv
Репозиторий для сдачи домашних заданий на первом семестре продвинутого потока курса "Deep Learning" Школы глубокого обучения ФПМИ МФТИ
matplotlib numpy pandas python pytorch sklearn
Last synced: 02 Apr 2026
https://github.com/klaudiozdrava/image-analysis
A Python project that was developed as a university assignment and the goal is to colorize an grayscale image using machine learning techniques.
colorization image-processing kmeans-clustering numpy svm
Last synced: 16 May 2026
https://github.com/stkisengese/numpy-data-fundamentals
A comprehensive collection of NumPy exercises covering array manipulation, slicing, broadcasting, random data generation, and real-world data analysis applications.
data data-analysis numpy pre-processing
Last synced: 16 May 2026
https://github.com/wisskirchenj/matrix-processor
Python app to process matrices using numpy
matrix-calculations numpy python3
Last synced: 16 May 2026
https://github.com/night-fury-me/deep-learning-fau
A repository that contains implementation of DNN, CNN and RNN from Scracth using numpy only. ResNet implementation using PyTorch
cnn deep-learning dnn machine-learning numpy pytorch rnn
Last synced: 10 Jul 2025
https://github.com/kkKaan/tensor-library-403-hw1
A numpy like library for tensor (gergen) operations.
deep-learning numpy python tensor
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https://github.com/rkschroeder/portfolio
This repository contains a data science project.
matplotlib numpy pandas sckit-learn seaborn
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https://github.com/natiellitorres/python-data-science-alura
Repositório contendo meus estudos e projetos realizados durante o curso de Python para Data Science da Alura. Inclui notebooks, datasets e análises aplicadas com bibliotecas como Pandas, NumPy, Matplotlib, entre outras.
data-science jupyter-notebook matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/hac8hi/ppgmonitoring
A PyQt generated app who display PPG signal, heart rate and breath rate
numpy pca ppg ppg-signal principal-component-analysis pyqt5 pyqtgraph scipy signal-analysis signal-processing
Last synced: 06 May 2026
https://github.com/hansalemaos/numpy_choices
Some useful np.random functions
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https://github.com/lemonsoda9013/easy-watermark-tool
A batch image watermarking tool based on Python and Tkinter.
batch-processing gui image-processing numpy pillow python tkinter watermark
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https://github.com/onemoredavid/python-like-a-boss
This is where I stash my Python study material.
data data-analysis data-engineering data-science data-visualization datascience ipynb ipynb-jupyter-notebook ipynb-notebook numpy pandas python python3
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https://github.com/satoshin-des/pythonlatticelibrary
Python Lattice Library
lattice lattice-based-crypto lattice-based-cryptography lattice-basis-reduction lattice-reduction lll-reduction numpy python python-library python3
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Seam Carving for Content Aware Image Resizing Project - Computer Vision Lab
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https://github.com/ohyeasabhi/signature-recognizer
Este projeto desenvolve um sistema para verificar a similaridade de assinaturas usando redes neurais. Ele utiliza o Triplet Loss para criar embeddings, focando na avaliação biométrica com o dataset CEDAR. 🖊️🌐
backpropogation-neural-network computer-vision django image-recognition jupyter-notebook keras machine-learning-projects neural-network numpy one-shot-learning python-project siamese-neural-network signature signature-recogniton tensorflow type voice-recognition windows
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https://github.com/danielpancake/mlml
my little machine learning library written in NumPy
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An analysis of weather data to determine opening of an ice cream and surf shop using SQLite, SQLAlchemy, and Python.
matplotlib numpy pandas python sqlalchemy sqlite weather
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https://github.com/winstxnhdw/pyalign
An over-engineered website for aligning multiline strings to a common character with PyScript.
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https://github.com/shibbir-ahmad24/a-deep-dive-into-covid-19-death-trends-in-the-usa
Unveiling Insights: A Deep Dive into COVID-19 Death Trends in USA
aggregation colab-notebook interactive-visualizations map matplotlib numpy pandas python3 seaborn
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https://github.com/shibbir-ahmad24/amazon-product-sales-data-analysis-trends-and-insights
Amazon Product Sales Data Analysis: Trends and Insights
amazon-dataset data-analysis matplotlib numpy pandas seaborn
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https://github.com/themihirmathur/machine-failure-predictor
The 'Machine Failure Predictor' is a web application designed to enable predictive maintenance for industrial equipment. Leveraging machine learning techniques, this application predicts whether equipment will fail and identifies the type of failure based on key process parameters.
cicd digitalocean docker fastapi flask github github-actions machine-learning matplotlib mlops numpy plotly python randomforest scikit-learn seaborn streamlit
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https://github.com/tberchanov/clustering-k-means
Sample program where is implemented clustering by K-means algorithm, and its visualisation.
clustering-algorithm kmeans-clustering matplotlib numpy python
Last synced: 16 May 2026
https://github.com/vipinchaudhary31122002/bytephone
A data science project that explores, visualizes, and models smartphone features from a futuristic 2025 dataset to predict mobile prices using machine learning.
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn streamlit
Last synced: 13 Apr 2026
https://github.com/vipinchaudhary31122002/cardiopredict
CardioPredict is a smart, ML-powered application that helps analyze your risk of heart disease using interactive forms, clinical features, and trained classification models.
machine-learning matplotlib numpy pandas python3 random-forest seaborn streamlit
Last synced: 12 Apr 2025
https://github.com/jaffarkeikei/hackbio
This repository contains a comprehensive toolkit for analyzing single-cell perturbation data from the NeurIPS 2023 Competition. The project focuses on understanding how different drugs (small molecules) affect various cell types at the gene expression level.
csv-files jupyter-notebook matplotlib numpy python tensors
Last synced: 11 May 2026
https://github.com/jancervenka/genalg
Solver for traveling salesman problem
genetic-algorithm numpy python
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https://github.com/shreeparab1890/laptop-price-predictor
This notebook is trying to build a model which will predict the price of the laptop based on the given specifications.
machine-learning-algorithms matplotlib numpy pandas price-prediction python scikit-learn sklearn
Last synced: 06 Apr 2026
https://github.com/mkdirer/depression-data-analysis
This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn are used to extract insights.
classification clustering matplotlib numpy pandas scikit-learn seaborn vizualization
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https://github.com/alejoduarte23/si_bayesianmixturemodel
Implementation of a two-stage fast Bayesian system identification for separated Modes. This repository expands the usage of this technique by adding a mixture model fit to obtain modal parameters from the posterior distribution.
matplotlib numpy scikit-learn scipy
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https://github.com/mohammedsaqibms/planar_data_classification_with_onehidden_layer
This repository implements a simple neural network for binary classification of 2D planar data using Python and NumPy. It compares logistic regression with neural networks and includes code for forward/backward propagation, gradient descent, and decision boundary visualization.
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Classwork for Mick Grierson's module at the Creative Computing Institute
matplotlib numpy openframeworks python tensorflow
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https://github.com/anufrievsy/man_women
Данный скрипт был создан с целью поиска субъективно интересных серий ТВ-шоу "Мужское Женское"
bs4 clear-output fuzzywuzzy ipython ipython-display jupyter jupyter-notebook jupyter-notebooks matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python requests time youtube youtube-search
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https://github.com/evernext10/coursera_capstone
This repository is created for sending the IBM Data Science Lab and will be used primarily for the Capstone project.
coursera-data-science ibm numpy pandas
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This project uses environmental sensor data to predict room occupancy, providing valuable insights for efficient energy management and space utilization in buildings. By analyzing factors like temperature, humidity, and light levels, the model aims to accurately forecast when rooms will be occupied, optimizing resources and enhancing overall buildi
classification data-science data-visualization exploratory-data-analysis machine-learning numpy pandas python seaborn time-series
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This project utilises a Deep Reinforcement Learning specifically Q learning implemented using PyTorch which learns the game by interacting with the pygame environment .I have followed a tutorial on Freecodecamp YouTube Channel and made the initial model.
deep-reinforcement-learning matplotlib-pyplot numpy pygame python
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This repository demonstrates three data mining methodologies applied to various real-world datasets: CRISP-DM (Weather Analysis), KDD (Social Media Ads Analysis), and SEMMA (Spotify Recommendation System). Each project includes data exploration, preprocessing, modeling, and evaluation steps, along with comprehensive documentation, supporting files,
clustering-algorithm crisp-dm kdd latex-template machine-learning numpy pandas random-forest research-paper semma
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Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).
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TensorFlow is a deep learning system that provides an interface for expressing deep learning algorithms and implementing them. It uses dataflow graphs to represent computation, shared state, and the operations that mutate that state.
deep-learning neural-network numpy tensor tensorflow
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https://github.com/aysh2603/credit-card-fraud-detection
The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.
ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit
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https://github.com/bearddan2000/python-web-3d-matplotlib-polygon-graph
A demo of creating a 3d polygon graph.
3d graph matplotlib numpy pandas polygon python web
Last synced: 03 May 2026
https://github.com/faraazarsath/handson-numpy
This respository is on various Numpy Tasks provided as academic assignment
Last synced: 16 May 2026
https://github.com/itzzmeakhi/ab-testing
This project was done as a part of Udacity's Data Analyst Nanodegree program in which AB-Testing is performed for the users under treatment and control groups to predict whether changes should be done for an website or it is ideal to keep the existing one, based on the performance of old and new pages. Hypothesis testing, z-test, and Logistic Regression is performed to predict results.
bootstrapping hypothesis-testing jupyter-notebook matplotlib numpy pandas python statistics z-test
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https://github.com/lorenzorottigni/ml-interview
Machine Learning python bootcamp: K Nearest Neighbors job interview simulation dataset
ipynb k-nearest-neighbours machine-learning numpy pandas python scikit-learn seaborn
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https://github.com/michaeldehaney94/opencv
Python OpenCV computer vision projects
matplotlib numpy opencv-python python
Last synced: 20 Jun 2025
https://github.com/marferdom/codenotes
Notes while learning to code in python
fastai ipython matplotlib-pyplot numpy python sci-kit-learn seaborn tensorflow tkinter torch
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https://github.com/aritrakar/ml-from-scratch
🤖Common ML implementations from scratch.
machine-learning numpy pandas python pytorch
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https://github.com/gospacedev/exoseeker
A machine learning exoplanet transit data analysis web interface
artificial-intelligence exoplanet-transits exoplanets gradient-boosting machine-learning matplotlib nasa nasa-data nasa-spaceapps-challenge numpy pandas perceptron-neural-networks random-forest sklearn streamlit
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https://github.com/pythoncoderunicorn/linear-algebra-python
Linear Algebra in Python
Last synced: 07 Apr 2026
https://github.com/brenofariasdasilva/dagster-heart-disease-risk
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dagster heart-disease jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/sumaiyyaf/spotify-data-analysis
This project explores Spotify music data, using Python to clean, analyze, and visualize the dataset. It examines the relationship between audio features and sentiment in song lyrics, uncovering patterns and trends to provide valuable insights into music preferences.
Last synced: 08 May 2026
https://github.com/nik-kusanagi/jupyter
Treinamento Para Análise de Dados.
big-data jupyter jupyter-notebook matplotlib numpy pandas python python3
Last synced: 30 Apr 2026
https://github.com/pedronjorge/average-face-python
Generate an average face from a given set of images by detecting facial landmarks, aligning features, and blending the images using Delaunay Triangulation. Libraries used: Dlib, OpenCV, NumPy
dlib image-generation jupyter-notebook numpy opencv python3
Last synced: 21 Jun 2025
https://github.com/jpcadena/malware-analysis
Analysis of malware signatures and their associated Common Vulnerabilities and Exposures (CVEs)
black common-vulnerabilities-and-exposures cve-search data-analysis data-engineering data-reporting data-visualization isort malware-analysis matplotlib mypy numpy pandas plotly poetry pre-commit pydantic python ruff seaborn
Last synced: 03 Mar 2026
https://github.com/trivediayush/python-bootcamp
This repository contains code, notes, and examples from my journey learning Python and its essential libraries.
flask matplotlib numpy pandas python python3 pythonbootcamp
Last synced: 01 Jul 2025
https://github.com/ayushhhh123/diwali_sales_analysis
This project provides a comprehensive analysis of Diwali sales data using Python. The primary goal is to derive business insights from customer purchasing behavior during the Diwali festival season. This analysis can help improve marketing strategies, customer targeting, and overall sales performance.
matplotlib numpy pandas python seaborn
Last synced: 07 May 2026
https://github.com/atharvkadammm/calmlytic
An end-to-end machine learning project that predicts anxiety severity using classification models (Naive Bayes, Decision Tree, SVM, Logistic Regression, XGBoost), based on lifestyle, health, and behavioral features.
anxiety-prediction classification csv data-analysis data-preprocessing-and-cleaning data-science data-visualization ensemble-learning logistic-regression machine-learning-algorithms matplotlib mental-health numpy pandas python sci-kit-learn seaborn supervised-learning svm xgboost
Last synced: 21 Jun 2025
https://github.com/atharvkadammm/suicide-prediction-system
A machine learning project predicting suicide risk based on multiple socio-economic and environmental factors using data mining techniques.
csv data-analysis data-science data-visualization datamining exploratory-data-analysis feature-engineering machine-learnin matplotlib mental-health numpy pandas riskassesment seaborn sklearn suicide-prediction supervised-
Last synced: 01 Jul 2025
https://github.com/fjohnson87/planning-and-feasability
Data-driven feasibility analysis using pandas, seaborn, and FAO food supply data
Last synced: 04 May 2026
https://github.com/shankhadweep/diabetes-prediction-systemv3
This project demonstrates a machine learning solution for predicting diabetes based on user-provided health data. The application uses Streamlit for an interactive web interface and advanced interpretability tools like SHAP and permutation importance to explain model predictions.
jupyter-notebook machine-learning matplotlib numpy pandas plotly randomforestclassifier sckit-learn seaborn streamlit-webapp
Last synced: 01 May 2026
https://github.com/gauravpatil04/ml
This repo is on "Basics skills required for Machine Learning"
matplotlib numpy pandas python seaborn
Last synced: 11 Jul 2025
https://github.com/edegan-furb/conwaygameoflife
This project is a simulation of Conway's Game of Life using Python with the Pygame library.
conways-game-of-life numpy pygame python
Last synced: 29 Apr 2026
https://github.com/vivekmodak3/multiple-disease-prediction-system--streamlit-webapp
This repository contains the codebase for "Multiple Disease Prediction Streamlit App". The training notebooks & the datasets are also provided in the respective folders.
machine-learning-algorithms numpy pandas python3 scikitlearn-machine-learning streamlit
Last synced: 07 Apr 2026
https://github.com/shekharkram/project
A collection of data analytics projects showcasing skills in data cleaning, exploration, visualization, and basic SQL queries. Designed to demonstrate entry-level data analyst competencies using real-world datasets and tools.
datacleaning excel jupyter-notebook mysql numpy pandas postgresql python sql
Last synced: 07 Apr 2026
https://github.com/manshreet27/mrs
This Movie Recommendation System is a web-based application built using Python and Streamlit, designed to provide movie recommendations based on user preferences. It utilizes TMDb API for fetching real-time movie details and Kaggle's TMDB 5000 Movies dataset for content-based filtering.
numpy pandas python scikit-learn streamlit tmdb-5000-movies-dataset-from-kaggle tmdb-api-for-fetching-real-time-movie-data
Last synced: 07 Apr 2026
https://github.com/shubh-bharadwaj/zomato-dataset-analysis
Zomato Dataset Analysis
data-analysis data-science data-visualization numpy pandas python sklearn
Last synced: 07 Apr 2026
https://github.com/shweta189/sms-spam-detection
Detecting Spam SMS's messages using machine learning algorithms.Utilizing NLP techniques such as tf-idf vectorization and machine learning algorithms like naive bayes and logistic regression for classifications. Integrated with Streamlit to create an interactive web app where users can input a message and instantly check if it's spam or not.
eda machine-learning-models nltk numpy pandas plotly python seaborn streamlit
Last synced: 07 Apr 2026
https://github.com/muhdhammad/machine-learning
Crafted for hands-on learning and implementation of ML with scikit-learn
data-science jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/jpcadena/pharmacy-prices-prediction
Prices prediction project for Pharmacy products.
artificial-intelligence data-analysis data-science deep-learning keras machine-learning machine-learning-models neural-network numpy pandas pharmacy prediction price-prediction pylint python scikit-learn supervised-learning tensorflow
Last synced: 07 Apr 2026
https://github.com/rajatnai49/data-science-practices
In this, I am adding all the Python exercises with the solutions related to data handling, analysis, and visualization using libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization.
jupyter-notebook matplotlib numpy pandas python
Last synced: 09 Apr 2026
https://github.com/fikri-rouzan/energy-consumption-prediction
Final Project for the AI/ML Weekly Class by Google Developer Group on Campus (GDGoC) UIN Jakarta.
jupyter-notebook matplotlib numpy pandas python scikit-learn scipy seaborn
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https://github.com/athiyaman-m/brain-tumor-classification-using-deep-learning
• This deep learning model is developed to classify and identify different types of brain tumors, as well as determine their existence, using Convolutional Neural Networks. This is achieved through the training and testing of 3264 MRI images.
keras numpy opencv pandas sklearn tensorflow
Last synced: 08 Apr 2026
https://github.com/dmarks84/coursework_project_ml-classifier-eval-selection
Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.
classification cross-validation data-modeling data-reporting data-visualization databases dataframes eda grid-search matplotlib numpy pandas python scikit-learn statistics supervised-ml
Last synced: 02 Apr 2026
https://github.com/jezbravo/lstm
Stock predictions with LSTM
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https://github.com/farzeennimran/fashion-mnist-dataset-classification-using-neural-network
Implementation of a Multi-layer Perceptron classifier with hyperparameter tuning and k-fold cross-validation employing GridSearchCV for classifying images on the Fashion MNIST dataset 👗👚👖
artificial-intelligence data-analysis data-mining data-science dataset deep-learning fashion-mnist-dataset gridsearchcv hyperparameter-tuning kfold-cross-validation machine-learning multilayer-perceptron-network neural-network numpy pandas python sklearn
Last synced: 03 Apr 2026
https://github.com/aneeshmurali-n/ann-diabetes-prediction
Predicting diabetes progression using an Artificial Neural Network (ANN). This project leverages the scikit-learn diabetes dataset for training and evaluation. Includes data preprocessing, model building, and performance visualization.
ann data-preprocessing data-visualization deep-learning diabetes-prediction exploratory-data-analysis keras machine-learning matplotlib neural-network numpy pandas regression scikit-learn seaborn tensorflow visualization
Last synced: 07 Apr 2026
https://github.com/chewzzz1014/python-libraries
jupyter-notebook learning numpy pandas pygal python seaborn sklearn tensorflow urllib
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https://github.com/pramodyasahan/learn-ml
This repository serves as both a personal learning diary and a resource for others interested in understanding and applying machine learning concepts. The projects are categorized based on the type of ML model and are implemented in Python using libraries like scikit-learn, pandas, and numpy.
classification clustering machine-learning matplotlib numpy pandas regression scikit-learn supervised-learning unsupervised-learning
Last synced: 07 Apr 2026
https://github.com/al-ghaly/global-warming-analysis
Analyze the effect of global warming on the average temperature of some of USA states.
matplotlib-pyplot numpy python python-visualization
Last synced: 10 May 2026
https://github.com/anthippi/naive-bayes-imdb-classification
A custom Naive Bayes classifier for sentiment analysis of movie reviews from the IMDb dataset, utilizing feature selection based on Information Gain and comparing its performance with scikit-learn's BernoulliNB.
classification imdb matplotlib naive-bayes-classifier numpy pandas scikit-learn sklearn
Last synced: 09 Apr 2026
https://github.com/ahmedabdalkreem/breast-cancer
It help to know the patient have breast cancer or not and show some of diagram analysis data to know what depenent in this disease that lead to this disease.
matplotlib numpy pandas python sklearn-library
Last synced: 07 Apr 2026
https://github.com/saikiran-erukonda/drug-labels-side-effects-analysis--a-ml-approach
An end-to-end real-time project on pharmaceutical data, focused on exploring statistical modeling, hypothesis testing, machine learning, and business intelligence techniques.
datascience-machinelearning matplotlib-figures numpy pandas python seaborn
Last synced: 17 Feb 2026
https://github.com/asier-ortiz/apuntes-ia-ds
Materiales y apuntes del curso de IA y Ciencia de Datos
keras matplotlib numpy pandas python sckiit-learn seaborn tensorflow
Last synced: 09 Apr 2026
https://github.com/henrique-efonseca/salary-range-distribution-tool
A web application to help job applicants propose an optimal salary within a given range using a normal distribution approach. Built with Python, Flask, Numpy, Scipy and JavaScript.
flask javascript numpy python scipy
Last synced: 02 Feb 2026
https://github.com/shortthirdman/predictorxvault-cookbook
Master Machine Learning: A Collection of Classification & Regression Algorithms in Action
classification-algorithm jupyter-notebook jupyterlab keras matplotlib numpy pandas python python3 pytorch regression regression-models tensorflow
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https://github.com/lefteris-souflas/the-algorithmic-approach-to-winning-guess-who
This repository provides a systematic approach to winning the "Guess Who?" game through advanced machine learning techniques. It offers a comprehensive methodology for enhancing gameplay strategy and optimizing decision-making processes with meticulous attention to detail.
decision-tree drawio gradient-boosting graphviz-dot lightgbm machine-learning matplotlib numpy pandas python random-forest scikit-learn
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https://github.com/mahendra077/knn-iris
knn-classifier ml numpy pandas scikit-learn seaborn
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https://github.com/mateuszskoczek/3drenderer
A simple 3D renderer that allows you to move around the scene using the keys.
3d 3d-graphics computer-graphics numpy pygame python rendering
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https://github.com/mike014/chatbot_app
Chabot is an application with a graphical user interface that uses various natural language processing (NLP) techniques to tokenize, stem, find stop words, and apply regular expressions to user-input text. The interface is built using Tkinter.
deep-learning dialogpt keras-neural-networks keras-tensorflow knn machine-learning-algorithms ml natural-language-processing nlp nltk nltk-python numpy pca python seq2seq tensorflow textpreprocessing tk tokenizer
Last synced: 09 Feb 2026
https://github.com/ahmedabdalkreem/diabetes
Complete project of people that have diabetes and show what features that explain that person be sick.
bagging-ensemble classification descision-tree ensemble logistic-regression matplotlib numpy pandas python3 sklearn svm voting-classifier
Last synced: 05 Apr 2026
https://github.com/ompreetham/signs-of-ageing
Verzeo's Major Project - Signs of Ageing
ageing argparse artificial-intelligence cv2 dataset google-colab jupyter-notebook keras learning machine machine-learning major-project matplotlib numpy os python signs signs-of-ageing tensorflow verzeo
Last synced: 02 Apr 2026
https://github.com/sandyg6/breast-cancer-classification
Building a Breast cancer classification model using Random Forest Classifier and deploying it to a web application using Flask framework
flask html-css-javascript numpy pandas python random-forest-classifier
Last synced: 05 Apr 2026