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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/duoan/machine-learning-notebook
A notebook repository for tracking learning machine learning notebook.
data-analysis decision-tree ensemble-model gbdt machine-learning numpy pandas xgboost
Last synced: 18 Jun 2026
https://github.com/duoan/dl-bike-sharing-demand
ractice neural network implemented just with numpy for Kaggle Bike Sharing Demand
bike-sharing bike-sharing-demand deep-learning kaggle neural-network numpy udacity-deep-learning
Last synced: 18 Jun 2026
https://github.com/kirkalyn13/open-signal-report-generator
Script used to generate results/summary, including the trends of flagged provinces, from the raw excel data file,
data-analysis data-science data-visualization matplotlib numpy pandas python
Last synced: 19 Jun 2026
https://github.com/realamirhe/leaf-node
A leaf node for your machine learning journey, from scratch to practical applications...
algorithm auto-encoder classification cybernetics feature-extraction feedback-mechanism lda learning machine-learning machine-learning-journey numpy pca practice regression scikit-learn sklearn smlfdl
Last synced: 09 May 2026
https://github.com/alicankaya192/deep_learning_path
Sıfırdan ileri seviyeye Deep Learning yol haritası. 11 modül: PDF + Python + Jupyter Notebook. NumPy · TensorFlow · PyTorch karşılaştırmalı implementasyonlar.
artificial-intelligence cnn data-science deep-learning gan jupyter-notebook lstm machine-learning neural-networks numpy python pytorch rnn tensorflow transformer
Last synced: 21 Jun 2026
https://github.com/laavanjan/lstm-rnn-next-word-prediction
An advanced LSTM RNN-based deep learning model designed for next-word prediction. This model processes sequential text data using deep learning techniques to generate accurate and context-aware word predictions in real-time
jupyter-notebook numpy pandas-dataframe rnn rnn-tensorflow streamlit-webapp tensorflow
Last synced: 09 May 2026
https://github.com/robson-python/curso-de-python-fea.dev---listas-de-exerc-cios-e-projeto-final
Listas de exercícios e meu Projeto de Avaliação do Curso
functions jupyter-notebook matplotlib numpy pandas python seaborn vscode
Last synced: 23 Jun 2026
https://github.com/abdulfatir/subkmeans
Numpy and pyCUDA implementation of subKmeans
clustering cuda kdd kmeans numpy pycuda python subspace-clustering
Last synced: 09 May 2026
https://github.com/prakhar-002/pandas-numpy
This repo covers NumPy & Pandas basics! ⚡ NumPy 🧮 for arrays & math operations, 🐼 Pandas 📊 for data handling with DataFrames & Series. 🚀 Includes practical examples 📝 for efficient data processing! 🔥
basics-of-python numpy pandas pandas-dataframe python-library python3
Last synced: 11 May 2026
https://github.com/vbharadwaj-bk/python_cpp_tutorial
Code for a Tutorial on Writing C++ Extensions for Python.
Last synced: 10 May 2026
https://github.com/ashraf-khabar/funcplot-plottingfunctionsmadeeasy
FuncPlot is a user-friendly app built with Kivy and KivyMD that allows you to easily plot and visualize mathematical functions on your desktop or mobile device. With its intuitive interface and support for multiple functions, FuncPlot makes it easy to explore and understand complex mathematical concepts.
kivy kivymd matplotlib numpy python
Last synced: 11 May 2026
https://github.com/hanzopgp/lstmcryptopriceprediction
TensorFlow LSTM neural networks which predict cryptocurrencies future prices. Starting from Sentdex's tutorial.
artificial-intelligence deep-learning lstm-neural-networks machine-learning matplotlib numpy personal recurrent-neural-networks tensorflow
Last synced: 11 May 2026
https://github.com/deusares/drawerfunctions
A collection of PIL, Numpy and OpenCV functions to manipulate images
generative graphic image-processing numpy opencv pil pillow python
Last synced: 09 May 2026
https://github.com/datarohit/tps-january-2022--kaggle-competition
Tabular Playground Series - Jan 2022. This Competition is Posted on Kaggle.com for practicing the EDA and Regression Skills.
kaggle-competition matplotlib numpy pandas regression-algorithms seaborn
Last synced: 09 May 2026
https://github.com/molodchina/msu-ml-prac
MSU-CMC-SP Machine Learning practicum
clustering decision-trees encodings ensemble gradient-boosting knn machine-learning matplotlib numpy pandas plotly seaborn svm
Last synced: 10 May 2026
https://github.com/rhazra-003/sketcher
A simple python code to make sketch out of any given photo using opencv and numpy
Last synced: 11 May 2026
https://github.com/eljandoubi/huggingface_image_classifier
Fine-tune the Vision Transformer (ViT) using LoRA and Optuna for hyperparameter search.
huggingface-datasets huggingface-optuna huggingface-peft huggingface-transformers hyperparameter-optimization image-classification numpy pytorch visual-transformer
Last synced: 10 May 2026
https://github.com/ananas1kexe/clap-to-rickroll
A Python-based utility that detects double claps via microphone to automate system actions. It forces volume to 100% via ALSA and triggers a multi-tab browser prank. Uses NumPy for real-time acoustic sharpness analysis.
audio-processing automation claps-detection cybersecurity-prank dsp numpy python rickroll
Last synced: 11 May 2026
https://github.com/RsGoksel/Genetic-Algorithms
A Guide to Problems and Solutions on Genetic Algorithms
agent evolutionary-algorithms game game-solution genetic-algorithm genetic-algorithms gym neural-network numpy numpy-arrays pygame python stable-baselines3
Last synced: 11 May 2026
https://github.com/vasugi2003/air-pollution-detection-using-machine-mearning
Air Pollution Detection using Machine Learning
airpollution datasets machine-learning-algorithms numpy pandas predictive-modeling python3
Last synced: 09 May 2026
https://github.com/swamikannan/neural-network-from-scratch-numpy
Creating a basic NN from scratch to detect numbers from the MNIST dataset using Numpy
ann backpropagation-neural-network backpropogation deep-learning matplotlib-pyplot mnist-classification neural-networks-from-scratch numpy
Last synced: 10 May 2026
https://github.com/ibz-04/number-plate-recognition
Vehicle number plate recognition using computer vision and image processing
anpr computer-vision easyocr matplotlib-python numpy object-detection opencv
Last synced: 09 May 2026
https://github.com/k-ibadullaev/py-ssa-lib
Py-SSA-Lib: Python implementation of the multichannel singular spectrum analysis (MSSA) and singular spectrum analysis (SSA)
mssa numpy python singular-spectrum-analysis ssa time-series time-series-analysis time-series-forecasting
Last synced: 10 May 2026
https://github.com/khaymanii/car-price-prediction-model
This is a model built using Python , Lasso and Linear Regression algorithm.
matplotlib numpy pandas python sckiit-learn
Last synced: 10 May 2026
https://github.com/sjtechdev/fastgrouper
Fast groupby-apply operations in python.
computational groupby groupby-apply groupby-function groupby-method groupby-transformation groupbykey grouping grouping-operations numpy pandas python python3
Last synced: 10 May 2026
https://github.com/heisenberg141/deep-learning-from-scratch
In this repository, I have showcased implementation of deep learning methodologies and architectures using Python and Numpy
algorithms binary-classification computer-vision data-science deep-learning deep-neural-networks implementation machine-learning multi-class-classification neural-network numpy python regression-models
Last synced: 10 May 2026
https://github.com/alvinmurimi/jumia
Data analysis on smartphones listed on jumia.co.ke
beautifulsoup4 jumia matplotlib numpy pandas scraping seaborn
Last synced: 09 May 2026
https://github.com/michaelfeil/lstm-dlnn2020
Character-LSTM implementation in Numpy
lstm nlp-machine-learning numpy
Last synced: 14 May 2026
https://github.com/hemilkaklotar/num-plot
Python Libraries Tutorials for Numpy and Matplotlib
matplotlib numpy patterns python
Last synced: 09 May 2026
https://github.com/anishshinde01/machine-learning-exercises
Python implementations of machine learning, statistics, and mathematical foundations.
linear-algebra machine-learning machine-learning-algorithms matplotlib numerical-analysis numpy python scikit-learn scipy statistics
Last synced: 11 Jun 2026
https://github.com/arif-miad/email-spam-classification-project
keras machine-learning nlp nltk numpy pandas-dataframe svm-classifier
Last synced: 09 May 2026
https://github.com/indhra/helloworld
1.Numpy tutorial
numpy numpy-arrays numpy-tutorial python3
Last synced: 09 May 2026
https://github.com/hansalemaos/permutation_no_repetition
Permutation without repetition - written in Cython - for Numpy
cython data-science no-repetitions numpy pandas permutations
Last synced: 14 Jan 2026
https://github.com/uhstray-io/pyrizon
Data Collection, Analysis, Mapping, Pipelining & Transformation, & API using Python
api data-engineering etl numpy pandas plotly python pytorch raw-data scikit-learn seaborne sql sqlite tensorflow
Last synced: 09 Apr 2026
https://github.com/palak-463/tablataalrecognitionsystem
Software built using Python which makes use of CNN and FNN to detect the Taals of the Tabla, an Indian classical music instrument. 🎛️
cnn deep-learning flask fnn librosa numpy os pickle python scikit-learn
Last synced: 11 Apr 2026
https://github.com/bestmahdi2/uni__geneticprogrammingfunctionapproximation
In this university project, genetic programming is used to approximate the function
function-approximation genetic-algorithm genetic-programming matplotlib numpy python tqdm
Last synced: 16 Apr 2026
https://github.com/sralter/term_deposit_marketing
Predicting which customers will most likely purchase a type of financial product, achieving a time savings of over 93%.
matplotlib numpy optuna pandas seaborn sklearn
Last synced: 30 Apr 2026
https://github.com/quentinwidlocher/cours-python-pandas
Jupyter Lab sur le traitement des données en python
jupyter-lab matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/kaleharshavardhan07/spam_mail-_detector_ai_model
This project implements a spam detection system for SMS messages using machine learning techniques.
mathplotlib nltk numpy panda python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/enjirouz/intelligentsystems
Expert systems examples: production type expert systems with direct and reverse logical conclusion; numpy perceptron; numpy neural network trained on logic AND operation; convolutional neural network for image recognition using cifar10 dataset and keras
cifar10 classification cnn convolutional-neural-network expert-systems image-classification image-recognition keras-tensorflow numpy
Last synced: 16 Apr 2026
https://github.com/walkerdustin/vergleich-von-messmethoden-fuer-punktwolken
Bei der Vermessung eines physischen Raumes ist das Ergebnis eine Punktwolke. Diese Punktwolke beschreibt dann ausgewählte Punkte im Raum, zum Beispiel auf den Wänden und der Decke. Wenn diese Punkte in zwei seperaten Messungen gemessen werden, vielleicht sogar von unterschiedlichen Geräten, soll hinterher herausgefunden werden wie genau diese Punktwolken übereinstimmen. Dafür gibt es zwei grundsätzlich verschiedene Methoden. Diese sollen hier verglichen werden.
3d-models accuracy-metrics data-analysis data-visualization kaggle measure-distance numpy point-cloud pointcloudprocessing punkte python science-research simulation statistics
Last synced: 11 Apr 2026
https://github.com/prashver/stock-price-prediction-lstm
Using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM), this project predicts Nestle India stock prices. The dataset spans from May 18, 2018 to May 20, 2022, and results are visualized using matplotlib.
keras lstm-model matplotlib numpy pandas recurrent-neural-network
Last synced: 12 Apr 2026
https://github.com/anarya22/heart-disease-classification
Predicting heart disease using machine learning. This notebook looks into various python base ML and DS libraries in an attempt to build a machine learning model capable of predicting whether or not someone has heart disease based on their medical attributes.
data-cleaning data-visualization machine-learning matplotlib numpy pandas scikit-learn
Last synced: 01 May 2026
https://github.com/programmer-rd-ai/dimensionality-reduction
DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.
analytics data-analysis data-science lightgbm machine-learning matplotlib numpy pandas programming python python3 sklearn university xgboost
Last synced: 01 Mar 2025
https://github.com/srgrace/data-cleaning-challenge
Data Cleaning Challenge
data-science jupyter-notebook numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/21aja/house_price_prediction_revised_project
House price prediction using ML with Decision Tree Regressor achieving 100% accuracy. Preprocessing, EDA, and model evaluation applied using Python, Pandas, NumPy, Scikit-learn, and XGBoost for data-driven insights.
decision-tree-classifier linear-regression numpy pandas xgboost
Last synced: 13 Apr 2026
https://github.com/luluw8071/neural-network-from-scratch-using-numpy
A linear neural network from scratch using Numpy for training MNIST Dataset
deep-neural-networks digit-recognition-mnist mnist-classification neural-network-from-scratch numpy python
Last synced: 15 May 2026
https://github.com/khaymanii/big_mart_prediction_model
This model was built using Python and Logistic Regression Algorithm
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 01 May 2026
https://github.com/akashash01/logistic-regresion
This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.
auc-roc-curve classification confusion-matrix data-science kolmogorov-smirnov machine-learning nonlinear-regression numpy pandas python supervised-learning vif woe-and-iv
Last synced: 08 May 2026
https://github.com/shahinuralambhuiyan/learning-ml
Start learning Machine Learning basic from CodeBasics Channel
anaconda jupyter-notebook kaggle-dataset matplotlib numpy pandas pip python
Last synced: 12 Apr 2026
https://github.com/stephenhky/npdict
Python Package for Dictionary Wrappers for Numpy Arrays
Last synced: 20 Jan 2026
https://github.com/aarryasutar/linear_multivariate_regression_on_football_statistics
Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.
datasets feature-selection football-stats linear-reg machine-learning mae mse multivariate-regression numpy pandas rmse scatter-plot train-test-split
Last synced: 14 Apr 2026
https://github.com/bunu23/image-classification-resnet50-streamlit
This project demonstrates an image classification system using ResNet50, fine-tuned on a custom dataset. It includes a Streamlit application for user interaction, allowing image uploads and classification results. It integrates Google's generative AI models for enhanced analysis.
cnn deep-learning generative-ai keras matplotlib numpy pillow python resnet-50 streamlit tensorflow
Last synced: 07 Apr 2026
https://github.com/brenofariasdasilva/scientific-research
My Scientific Research Code Repository.
ck code-metrics commons-lang jabref matplotlib numpy pandas pydriller python scientific-research scikit-learn similarity-measures statistical-analysis wem word2vec worked-example worked-example-miner
Last synced: 16 Apr 2026
https://github.com/joshi-jyoti/heart-disease-prediction
This repository contains a Python-based project for predicting the likelihood of heart disease using a Logistic Regression machine learning model. It leverages a dataset of patient medical information to train and evaluate the model, providing insights into potential diagnoses.🩺
heart-disease-prediction heart-disease-predictor kaggle-dataset machine-learning numpy pandas python scikit-learn
Last synced: 01 May 2026
https://github.com/ngirimana/ml_knn
Welcome to the KNN Project! This will be a simple project very similar to the lecture, except you'll be given another data set. Go ahead and just follow the directions below.
artificial-intelligence knn-algorithm knn-classification knn-classifier machine-learning matplotlib numpy pandas python3 searbon
Last synced: 12 Apr 2026
https://github.com/cchandre/rg
Renormalization for the break-up of invariant tori in Hamiltonian flows
expm hamiltonian hamiltonian-dynamics invariant-tori kolmogorov-arnold-moser numpy python3 renormalization-group scipy
Last synced: 01 May 2026
https://github.com/shanmukhsrisaivedullapalli/cifar10
This project uses TensorFlow to classify images from the CIFAR-10 dataset. It compares the performance of an Artificial Neural Network (ANN) and a Convolutional Neural Network (CNN), covering data preprocessing, model training, evaluation, and prediction on new images.
cifar10-classification cnn-classification matplotlib neural-networks numpy pickle pillow python3 tensorflow
Last synced: 03 Feb 2026
https://github.com/udacity-machinelearning-internship/finding_donors
First stage project at Udacity on the 'Intro to Machine Learning with TensorFlow' program using sckit-learn in python
csv machine-learning matplotlib numpy pandas python sckiit-learn seaborn sklearn udacity udacity-nanodegree
Last synced: 16 Apr 2026
https://github.com/back2matching/turboquant-vectors
Compress embeddings 6x instantly with TurboQuant. First pip package using Google's TurboQuant (ICLR 2026) for vector search. 71.9% recall vs FAISS PQ 13.3%.
compression embeddings faiss machine-learning numpy quantization rag turboquant vector-search
Last synced: 08 Jun 2026
https://github.com/aisurjyasamantaray/customer-purchase-analysis
This project involves an in-depth analysis of customer purchasing behavior and sales performance to drive business insights and strategies.
customer-purchasing customer-segmentation data-visualization dataanalysis dataanalysis-projects marketing-insights matplotlib numpy pandas python revenue-and-performance-analysis seaborn-plots
Last synced: 09 Apr 2026
https://github.com/linggarm/smart-caloriemax
A web app that utilizes Genetic Algorithms to generate a list of foods offering maximum calorie content within a specified budget.
artificial-intelligence css evolutionary-algorithms flask genetic-algorithms html javascript knapsack-problem machine-learning numpy python
Last synced: 12 Apr 2026
https://github.com/y-india/project-smart-attendance-system-opencv
AI-powered Smart Attendance System using Face, Eye, and Mask detection — automates daily attendance with real-time computer vision and CSV logging. | see README below , please.
attendance-system automation cctv-cameras cctv-detection numpy opencv opencv-python pandas project projects python python3 real-world-problem-solving real-world-project webcam
Last synced: 02 May 2026
https://github.com/rixiiz/knn-model-to-predict-the-obp-of-mlb-players
A machine learning model I built that can predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season
artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning
Last synced: 01 Jul 2025
https://github.com/earth-app/doc2lora
Generate LoRA Adapters from documents
ai cloudflare-ai cloudflare-workers lora numpy py python torch
Last synced: 16 May 2026
https://github.com/rishraks/color-object-detection
This project enables real-time detection of user-defined color objects using a webcam. Users enter a color name, and the program identifies objects matching that color by converting it to its HSV range, applying a mask, and detecting contours. It's a practical tool for object tracking, sorting, and interactive applications.
computer-vision numpy opencv pillow-library
Last synced: 11 Apr 2026
https://github.com/vineet416/airbnb_data_analysis
Ineuron.ai Internship Project
data-analysis exploratory-data-analysis matplotlib numpy pandas-python python seaborn statistical-analysis statistics
Last synced: 10 Apr 2026
https://github.com/nekruzash/machine-learning-decision-trees
This is from CS2023 - AI/DS/ML class, trained a machine learning model with heart disease data sets to predict a correlation using numpy and pandas.
jupyter-notebook numpy pandas python
Last synced: 02 May 2026
https://github.com/swimshahriar/machine-learning
This repository contains the machine learning models that I have worked on during learning "Machine Learning".
Last synced: 16 Apr 2026
https://github.com/khaymanii/titanic_survival_prediction_-model
This Model was built using Python and Logistic Regression algorithm
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 02 May 2026
https://github.com/code-taweezy/thermos-ai
An AI-powered thermal optimization and anomaly detection system for energy-efficient data centers. Note: this is a MVP
ai case-study data-visualization lovable-ai machine-learning matpplotlib mvp numpy pandas project python sckiit-learn seaborn solution tensorflow
Last synced: 02 May 2026
https://github.com/rakibhhridoy/machinelearning-featureselection
Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.
extratreesclassifier feature-selection gridsearchcv lasso-regression logistic-regression machine-learning numpy pandas pca rfe rfecv scikit-learn selectkbest
Last synced: 02 May 2026
https://github.com/oguzhansarigol/expected-goals-xg-data-analysis
We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angles and distances they are most likely to score.
data-analysis-python expected-goals numpy pandas-python python
Last synced: 02 May 2026
https://github.com/rishraks/handsign-ai
HandSign AI is a gesture recognition project using Mediapipe to detect custom hand signs like fist, palm, and V-sign. It automates tasks such as starting/stopping video recording and capturing screenshots, showcasing intuitive, touch-free interactions for various applications like smart devices and accessibility.
mediapipe ml numpy opencv python
Last synced: 16 Apr 2026
https://github.com/cchandre/quasiperiodic_frenkel-kontorova
Analyticity breakdown for Frenkel-Kontorova Models in quasiperiodic media
dynamical-systems frenkel-kontorova hamiltonian numpy python3 scipy
Last synced: 02 May 2026
https://github.com/zazi2002/machine-learning-project
Introduction to Machine Learning project with the goal of improving the classification performance on a dataset by optimizing the number of features and weak learners.
dimentionality-reduction ensemble-learning numpy pca random-forest scikit-learn
Last synced: 02 May 2026
https://github.com/neerajcodes888/diwali-sales-analysis
An open-source repository for sales data analysis. Dive into insightful trends, metrics, and visualizations to empower data-driven decision-making. Ideal for data analysts, business professionals, and enthusiasts seeking comprehensive sales insights. Clone, customize, and contribute to enhance your sales analytics journey.
data-science-projects data-visualization numpy pandas-dataframe python3 sales-analysis seaborn-plots
Last synced: 26 Mar 2025
https://github.com/g-eoj/cv-tl-keras
Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.
cross-validation keras numpy scikit-learn transfer-learning
Last synced: 10 Apr 2026
https://github.com/camilajaviera91/clustering-first-approach
This code will help to understand, in a simple way, how the clustering model works. To achieve this, we will input certain variables (strings and integers), then plot them to visualize and analyze how the values are positioned.
array cluster clustering dictionaries matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/westurner/pypfi
A Python package for personal finance
arrow bootstrap3 csv factoryboy jquery jquery-tocify numpy pandas personal-finance pivot-tables python
Last synced: 11 Apr 2026
https://github.com/realtristan/micronet
Neural network library from scratch
neural-networks numpy python pytorch
Last synced: 03 May 2026
https://github.com/harizonelopez/face-detector
This project is a real-time face detection application using OpenCV's deep learning-based face detector. It captures faces from a webcam feed, detects faces with high accuracy using a pre-trained Caffe model, and saves the detected faces as image files labeled with the user's name.
Last synced: 03 May 2026
https://github.com/neurodivergent-dev/3d-fractal-explorer
Interactive 3D visualization tool for exploring the mesmerizing world of Mandelbrot and Julia fractals. Built with Python, OpenGL and PyQt5, offering real-time animation and intuitive controls.
3d-graphics complex-numbers computer-graphics data-visualization educational fractal graphics-programming interactive julia-set mandelbrot math-visualization mathematical-art mathematics numpy opengl pyqt pyqt5 python scientific-visualization visualization
Last synced: 04 May 2026
https://github.com/varun-khorgade/churnshield-customer-retention-predictor
Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.
classification-algorithm datapreprocessing f1-score feature-engineering hyperparameter-tuning logistic-regression matplotlib model-evaluation numpy pandas python ran roc-auc scikit-learn seaborn xgboost
Last synced: 07 May 2026
https://github.com/hq969/customer-churn-prediction-with-hyperparameter-optimization-and-model-deployment
A complete end-to-end machine learning project that predicts customer churn using the Telco dataset. It includes data preprocessing, exploratory data analysis (EDA), model training with Random Forest, hyperparameter tuning, evaluation, and deployment via a Flask API.
flask numpy pandas python scikit-learn xgboost
Last synced: 02 Apr 2026
https://github.com/andrebfarias/conversor-video-para-ascii
Ferramenta de código aberto para conversão de arquivos de vídeo em arte ASCII usando OpenCV e processamento de chroma key. Suporta conversão em lote, reprodução em terminal com looping opcional e configuração personalizável via config.ini.
ascii-art batch-processing chroma-key configparser numpy open-sources-code-github opencv-python terminal-rendering video-conversion
Last synced: 19 Apr 2026
https://github.com/shriram-vibhute/data-analysis
This repository offers a comprehensive collection of data analysis techniques using NumPy Pandas, Matplotlib and Seaborn.
data-aggregation data-analysis data-visualization data-wrangling matplotlib numpy pandas seaborn
Last synced: 02 Aug 2025