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: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/smusab9152/pokemon_data_analysis
This repo that explores and analyzes a dataset of Pokémon attributes. The analysis includes data cleaning, exploratory data analysis (EDA), and visualizations .
analytics data-analysis data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas pokemon python seaborn statistical-analysis
Last synced: 02 May 2026
https://github.com/drewstone/katz-centrality
Katz centrality of a wheelgraph
centrality graphs networks numpy
Last synced: 16 Apr 2026
https://github.com/aminakbari7/simple-data-science-with-excel
data-science excel machine-learning numpy pandas plot simple
Last synced: 06 May 2026
https://github.com/ramamagarwal/mathematical-simulation-projects
This repository comprises my math modelling-based projects covering topics of Linear Algebra, Probability and Statistics.
Last synced: 16 Apr 2026
https://github.com/264gaurav/deep-learning
Deep Learning and Neural Network learning/building and exploring
artificial-neural-networks dagshub deep-learning deep-neural-networks dvc experiment-tracking hyperparameter-tuning keras-tensorflow keras-tuner mlflow-tracking numpy sklearn tensorflow testing training-data
Last synced: 06 May 2026
https://github.com/mmsaki/whale_portfolio
Determine which Whale portfolio is performing the best across multiple areas: volatility, returns, risk and Sharpe ratios.
datetime finance jupyter-notebook matplotlib numpy pandas pathlib python quantitative-finance seaborn stock-market trading-strategies
Last synced: 06 May 2026
https://github.com/khaymanii/house-price-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 06 May 2026
https://github.com/tansudasli/analytics-sandbox
from Statistical approach to Machine learning
feature-engineering machine-learning matplotlib numpy opencv pandas probability regex scikit-learn seaborn statistics
Last synced: 13 Apr 2026
https://github.com/yc1909/ai_impact_on_jobs
Impact of Artificial Intelligence on Jobs and Workplace-Analysis
analytics exploratory-data-analysis matplotlib numpy pandas seaborn
Last synced: 06 May 2026
https://github.com/asadullah-imran/student-performance-data-analysis
This is a very simple exploratory data analysis of Student Performance in a class. data is taken from Kaggle.
datanalysis matplotlib numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/darshan12345678910/air-quality-prediction-ml-algorithms
AirPredict AQI prediction using classification algorithm
classification-algorithims gradio-interface numpy pandas
Last synced: 06 May 2026
https://github.com/isurusenarath1/weather-prediction-ml-model
Weather Prediction Using KNN
jupyter-notebook numpy pandas python
Last synced: 29 Apr 2026
https://github.com/hansalemaos/cythonnestednumpy
performs sorting and grouping operations on multidimensional NumPy arrays using Cython and hash-based algorithms.
Last synced: 07 Jan 2026
https://github.com/peterfication/num-peek
A CLI tool to peek into *.npy files
Last synced: 20 Jan 2026
https://github.com/an4pdm/exercicios-de-numpy
Repositório com exercícios básicos de Numpy para praticar.
exercicios-python exercicios-resolvidos exercises jupyter-notebook jupyterlab numpy numpy-exercises numpy-python python study tutorials
Last synced: 06 May 2026
https://github.com/harmanveer-2546/diabetes-prediction-using-machine-learning
Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.
adaboost decision-trees gradient-boosting-classifier gridsearchcv knn-classification machine-learning numpy os pandas pickle python random-forest seaborn svc-model
Last synced: 14 Apr 2026
https://github.com/nmsby/pca-machine-learning-lab
Principal Component Analysis (PCA) implementation and analysis lab for Machine Learning. Features manual PCA implementation, scikit-learn applications, data compression, and feature extraction with detailed visualizations.
data-analysis dimensionality-reduction jupyter-notebook machine-learning numpy pca python scikit-learn visualization
Last synced: 01 May 2026
https://github.com/rudrakshi99/movie-recommendation-system
Movie recommendation system using machine learning and predict user ratings for the movies.
dataframes machine-learning matplotlib numpy pandas seaborn
Last synced: 07 May 2026
https://github.com/harmanveer2546/credit-card-fraud-detection
The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.
ann catboost eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xgboost
Last synced: 11 Apr 2026
https://github.com/hamdaniqhmqd/project-predict-saham-bbri
Repository Project-Predict-Saham-BBRI is a group assignment project that uses Streamlit, scikit-learn, and related technologies to build a BBRI stock price prediction application based on day, week, and month input.
data-visualization numpy pandas python sklearn streamlit
Last synced: 11 Apr 2026
https://github.com/babak2/synthea-data-analysis
Synthea Data Analysis
data-analysis data-visualization jupyter-notebook jupytext matplotlib numpy pandas python3 seaborn synthea
Last synced: 11 Apr 2026
https://github.com/listiangr/play_tennis_classification
This project analyzes weather data to predict whether a person will play tennis or not. The main goal is to make accurate predictions based on factors such as weather, temperature, humidity, and wind.
classification flask html-css jupyter-notebook kaggle-dataset naive-bayes numpy pandas pickle play-tennis python sklearn
Last synced: 11 Apr 2026
https://github.com/harmanveer2546/movie-industry
Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.
business business-analytics dataanalysis datetime matplotlib numpy pandas python seaborn
Last synced: 11 Apr 2026
https://github.com/beliavsky/array-compiler
Translate Python/NumPy and other array languages to Fortran
array-programming fortran linear-algebra modern-fortran numpy python scientific-computing transpiler
Last synced: 27 May 2026
https://github.com/jayakrishnagaddam/deep_sheild_
This is a Machine Learning applied Artificial intelligence project. Deepsheild is a cutting-edge deepfake detection system designed to safeguard the integrity of visual content in an era where synthetic media poses unprecedented challenges. Deepsheild stands as a robust fortress against the proliferation of manipulated videos and images.
artificial-intelligence bootstrap css cv2 deep-learning flask html machine-learning mongodb numpy tensorflow torch
Last synced: 11 Jan 2026
https://github.com/pradipece/insurance_data_analysis_ml
This project approach defines the terms machine learning and linear regression ML algorithm in the context of real-time problem-solving.
data-science data-visualization database machine-learning matplotlib numpy pandas python python3
Last synced: 11 Apr 2026
https://github.com/iv4n-ga6l/objects_detection_with_neural_network_training_visualization
Real-time Object Detection and Neural Network Training Visualization
keras matplotlib neural-network neural-network-training neural-network-visualizations numpy object-detection opencv python tensorflow ultralytics
Last synced: 11 Apr 2026
https://github.com/pradipece/two_dimensional_data_visualization
This repository for different kinds of Data science and Machine learning project
data-science data-visualization jupyter-notebook machine-learning matplotlib numpy pandas python seaborn sklearn statistics
Last synced: 11 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/adityashinde716/liam-the-healthcare-chatbot
Made a healthcare chatbot Liam which will help you to detect your health problem and gives precautions.
csv numpy pandas python python3 random random-forest random-forest-classifier requests sklearn sklearn-library sklearn-model
Last synced: 05 May 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/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/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/serhatderya/tabular-playground-series
This repository contains solutions of monthly Tabular Playground Series in Kaggle.
ai artificial-intelligence data data-preprocessing data-processing data-science data-visualization jupyter-notebook kaggle machine-learning numpy pandas python regression scikit-learn scikitlearn-machine-learning seaborn software statsmodels
Last synced: 11 Apr 2026
https://github.com/nemeslaszlo/financial-crisis-effects-on-some-stocks
Focusing on bank stocks to see how they progressed throughout the 2008-09 financial crisis all the way to early 2016.
cufflinks jupyter-notebook matplotlib numpy pandas pandas-datareader plotly seaborn
Last synced: 03 May 2026
https://github.com/prakashjha1/stock-trend-prediction
Deep learning for predicting stock market prices and trends has become even more popular than before. I have used yahoo finance to collect the data and LSTM to build the stock trend model.
deep-learning keras lstm lstm-neural-networks machine-learning numpy pandas pandas-datareader prediction python rnn tensorflow
Last synced: 11 Apr 2026
https://github.com/kartikeya443/handgesture_detection_opencv
A Computer Vision based model trained on data sets of over 300 inputs for a particular gesture is able to detect and identify human hands gestures effortlessly and is able to track the coordinates for further modifications in its usage for controlling devices like mouse and windows (control features are in development).
deep-learning mediapipe numpy opencv tensorflow
Last synced: 11 Apr 2026
https://github.com/sehgalnaval/olympics-data-analysis
I will be building an Olympics Data Analysis Web Application using Streamlit. For development, I will be using Python and Pandas. For plotting, I will be using Seaborn and Plotly libraries. The project will also be deployed to Heroku.
heroku jupyter-notebook matplotlib numpy pandas pycharm python seaborn
Last synced: 11 Apr 2026
https://github.com/SudipBishwakarma/Bulk-Remove-OneSignal-Users
Bulk remove OneSignal subscribed users blazingly faster with parallel processing.
numpy pandas python python-logger python-multiprocessing python-threading python3
Last synced: 31 Mar 2025
https://github.com/jinkogule/multi-analyst
O Multi Analyst é uma ferramenta de análise de dados com uma usabilidade simples, que utiliza inteligência artificial para interpretar os resultados das análises realizadas, retornando insights úteis aos usuários.
apriori-algorithm bootstrap css data-analysis django html numpy open-ai pandas python web-application
Last synced: 12 Apr 2026
https://github.com/asanka-j/machine_learning_exercises
Machine learning Self study Python & R
matplotlib numpy pandas python r sklearn
Last synced: 12 Apr 2026
https://github.com/guilhermebit/movie-suggestions-using-k-nearest-neighbors
This project implements a movie recommendation system using the K-Nearest Neighbors (KNN) machine learning algorithm.
algorithms data-science euclidean-distance knn machine-learning matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/srujayreddy/selling-laptops
Predicting whether users will click on a promotional email for laptops based on historical user data and browsing logs.
customer-behavior-analysis feature-engineering logistic-regression machine-learning marketing-analytics numpy pandas predictive-modeling scikit-learn
Last synced: 12 Apr 2026
https://github.com/rkarahul/vehicle-number-plate-detection-and-ocr-reading-using-opencv-and-paddleocr
complated Vehicle Number Plate Detection and OCR Reading Using OpenCV and PaddleOCR
numpy opencv paddleocr paddlepaddle pandas python
Last synced: 12 Apr 2026
https://github.com/nguyenanhtuan1912/computer_vision_exercises
Trong này sẽ chứa các file source về bài tập Computer Vision.
computer-vision numpy opencv python
Last synced: 12 Apr 2026
https://github.com/balaji24092001/python
All python related content: notes, problems, progress archive.
matplotlib numpy opencv pandas python3 scipy-stats seaborn sklearn sqllite
Last synced: 12 Apr 2026
https://github.com/pandeyankit123/books-recommender-system-using-machine-learning
This is a streamlit web application that can recommend various kinds of similar books based on an user interest.
jupyter-notebook machine-learning numpy pandas pickle python streamlit
Last synced: 12 Apr 2026
https://github.com/codehass/facial-emotional-detection
Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.
cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow
Last synced: 12 Apr 2026
https://github.com/nikita-data/unit_economics_projects
unit economics & cohort analysis projects
cac churn-rate conversion create-function data-analysis data-visualization eda hypothesis-testing ltv math matplotlib numpy python retention-rate roi scipy seaborn segmentation statistics unit-economics
Last synced: 06 Jan 2026
https://github.com/hamdaniqhmqd/kelompok6-sistem-cerdas-bbri
Repository group6-system-smart-bbri is a group assignment project that uses Streamlit, scikit-learn, and related technologies to build a BBRI stock price prediction application based on day, week, and month input.
data-visualization numpy pandas python sklearn streamlit
Last synced: 03 Apr 2025
https://github.com/Willie-Conway/Data-Science-Tools-and-Ecosystem
🧠 Explore essential Data Science 🧪 tools, 🧰 libraries, and 🐍 Python arithmetic basics — perfect for beginners!
data-science jupyter keras notebooks numpy pandas python pytorch
Last synced: 12 Jun 2025
https://github.com/hamdaniqhmqd/sistem-cerdas
I use this repository for my storage, especially in the intelligent systems course in semester 3
matplotlib numpy pandas python streamlit
Last synced: 20 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/anish202020/weather_prediction_model_21int68_internship
Predicts weather using data analysis and machine learning neural networks. The project reads data from a CSV file, processes it, trains a neural network, and visualizes the results.
keras-neural-networks keras-tensorflow matplotlib numpy pandas sklearn
Last synced: 12 Apr 2026
https://github.com/datarohit/nlp-course-files
The files in this Repo are files for the online NLP-Course from Udemy.com which I completed.
nlp nlp-machine-learning nltk numpy panda python sklearn spacy
Last synced: 12 Apr 2026
https://github.com/datarohit/garbage-image-classification
This is Garbage Image Classification End-To-End Project built using Python and Streamlit.
cnn-classification cnn-keras inceptionv3 keras-tensorflow matplotlib numpy
Last synced: 30 Apr 2026
https://github.com/mohidex/analyze-movie-rating
Analyzing the distributions of IMDB and Metacritic movie ratings to see if we find anything interesting. To do this, first scrape data for over 2000 movies from imdb website.
beautifulsoup4 jupyter-notebook matplotlib numpy pandas python3 requests webscraping
Last synced: 20 Apr 2026
https://github.com/pranav-bot/ml-dl-models-from-scratch
This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations
deep-learning descion-tree from-scratch linear-regression logistic-regression machine-learning naive-bayes neural-networks numpy perceptron pytorch qlearning random-forest regression reinforcement-learning support-vector-machines svm
Last synced: 15 Apr 2026
https://github.com/iBz-04/DiabetesCL
Predicting instances of diabetic & non-diabetic patients with Support vector machine classifier
data-science diabetes-prediction google-colab-notebook machine-learning machine-learning-projects medical-informatics numpy pandas-python python3 sckiit-learn svm-classifier
Last synced: 21 Oct 2025
https://github.com/abtaaahi/smartxi
SmartXI — A Streamlit app to recommend football teams based on budget, formation, and style, plus predict player market values using machine learning models. Easy setup and interactive visualizations included.
machine-learning machine-learning-algorithms numpy pandas plotly python random-forest streamlit
Last synced: 13 Apr 2026
https://github.com/manjillama/machine-learning-101
Introduction to machine learning, conda environment, Jupyter Notebook, Pandas, NumPy and Matplotlib.
conda-environment jupyter-notebook machine-learning matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/Vice777/SAFE-HEART
Classify the chances of having a Heart Attack based on your Heart's Condition.
kaggle machine-learning matplotlib mlfromscratch mlp-classifier multilayer-perceptron-network numpy pandas pickle streamlit streamlit-webapp
Last synced: 11 Mar 2025
https://github.com/lironmiz/machine-learning-specialization-course
Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
artificial-neural-networks clustering coursera decision-trees deep-reinforcement-learning gradient-descent linear-regression logistic-regression logistic-regression-classifier machine-learning ml-models numpy project recommender-system regularization-methods scikitlearn-machine-learning supervised-learning tensorflow tree-ensembles xgboost
Last synced: 03 May 2026
https://github.com/jigyasag18/gold-price-prediction-project-using-machine-learning
This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics
data dataset jupyter-notebook jupyter-notebooks machine-learning machinelearing machinelearningalgorithms machinelearningmodel machinelearningprojects matplotlib mlproject numpy pandas randomforestregressor seaborn
Last synced: 23 Jul 2025
https://github.com/aryansingla45/image-classification-project
A Deep Learning Model which classifies Cats and Dogs.
artificial-neural-networks convolutional-neural-networks deep-learning keras machine-learning numpy pandas python tensorflow
Last synced: 13 Apr 2026
https://github.com/anandarauf/wifu-detection
Machine Learning Wifu Detection from Dataset Anime and Manga
anime data-science dicoding dicoding-submission machine-learning machinelearning manga numpy object-detection pandas pandas-python python3 sklearn tensorflow waifu waifu-detection
Last synced: 13 Apr 2026
https://github.com/epsoft/text-generation-stopword
text generation stopword
datasets generation nltk nltk-library nltk-python numpy re stopword text wordnet wordnet-library
Last synced: 15 May 2026
https://github.com/epsoft/nlp
NLP
farsi gru nlp numpy pandas persian tensorflow training word-indexer
Last synced: 15 Apr 2026
https://github.com/guptaachin/titanic-data-analysis
This is analysis and modelling of the famous Titanic Data Set from Kaggle.
dataanalytics datamining datascience machinelearning numpy pandas python scikit-learn structuredpyramidanalysisplan tableau tableau-desktop
Last synced: 13 Apr 2026
https://github.com/urme-b/multimodal-multisensor
Longitudinal neurophysiological study of adult psychometric testing.
keras matplotlib numpy pandas python pytorch scikit-learn seaborn tensorflow
Last synced: 13 Apr 2026
https://github.com/jaypanchal9/spotless-data
Spotless Data: A Python-based workflow using Jupyter Notebooks for efficient data cleaning, preprocessing, handling missing values, correcting outliers, and integrating external datasets ideal for quick, reliable, and clean data preparation.
data-cleaning data-preprocessing data-wrangling matplotlib numpy pandas python3
Last synced: 13 Apr 2026
https://github.com/pvlbzn/kot-or-not
Logistic regression (shallow neural network) which predicts whether input image is a cat or not.
classification-algorithm image-classification logistic-regression machine-learning neural-network numpy
Last synced: 01 Mar 2025
https://github.com/iv4n-ga6l/OpenPose-Prediction
Person's body parts or joint position detection using openCV
detection numpy opencv prediction prediction-model python
Last synced: 28 Apr 2025
https://github.com/leabrodyheine/water-pump-status-prediction
This project implements machine learning models to predict the status of water pumps in Tanzania using data from DrivenData's competition. The project includes preprocessing steps, model evaluation using cross-validation, and hyperparameter optimization with Optuna.
argparse cross-validation gradient-boosting-classifier logistic-regression machine-learning multilayer-perceptron numpy optuna pandas random-forest-classifier scikit-learn
Last synced: 11 Apr 2026
https://github.com/shibam120302/plant_deseases_prediction
Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control.
Last synced: 13 Apr 2026
https://github.com/dpgitaccount/file-handling-data-analytics-toolkits
In this repo File handling, Inventory management system and data toolkits resources are provided these are essential for managing, storing, and manipulating data in various formats, such as JSON files. JSON (JavaScript Object Notation), is widely used for data exchange due to its simplicity and readability. also File Handling included in this repo.
filehandling inventory-management json jupyter-notebook numpy os
Last synced: 13 Apr 2026
https://github.com/itancio/realestateprice
This is an application of deep learning to train and predict real estate price dataset in King County, USA.
datat-visualization machine-learning numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/solrikk/optichrom
This repository provides a collection of Python tools and applications for comparing images using various algorithms such as ORB (Oriented FAST and Rotated BRIEF) and SSIM (Structural Similarity Index). The tools include both command-line scripts and graphical user interface (GUI) applications for ease of use
computer-vision cv2 feature-matching image-comparison image-comparison-tool machine-learning numpy object-detection opencv orb python scikit-image ssim tkinter visualization yolo yolov5
Last synced: 18 Jan 2026
https://github.com/imswappy/brain-tumor-detection
🧠 Deep learning project for brain tumor classification using MRI images. Built with transfer learning (VGG16 + fine-tuning), TensorFlow/Keras, and deployed via Streamlit. Dataset & model loaded dynamically from KaggleHub. Includes training notebook, evaluation, and interactive web app.
kagglehub keras numpy pandas scikit-learn streamlit tensorflow vgg16-model
Last synced: 13 Apr 2026
https://github.com/celineboutinon/bottleneck
ENSAE-ENSAI Formation Continue (Cepe)/OpenClassrooms Data Analyst 2022-2023 - Projet 5
data-analysis data-analytics data-visualisation dataframes market-intelligence marketing-analytics matplotlib-pyplot missingno numpy pandas python seaborn
Last synced: 07 Sep 2025
https://github.com/moataz-elmesmary/analog-clock-opencv
Computer vision project implemented with OpenCV
computer-vision cv2 numpy opencv
Last synced: 07 May 2026
https://github.com/imswappy/ads-eda-predictor
Interactive Streamlit app for marketing campaign analytics and prediction. Includes dashboards, EDA, econometrics tests (ADF, cointegration, OLS diagnostics), ML pipelines with preprocessing, CV, and persistence. Predict outcomes with Linear/Ridge/Lasso/Random Forest regressors.
adf breusch-pagan cointegration lasso-regression linear-regression matplotlib-pyplot numpy pandas random-forest ridge-regression seaborn sklearn
Last synced: 02 May 2026
https://github.com/gauravsakure02/python_libraries
Data Analysis using Python libraries
matplotlib numpy pandas-library streamlit
Last synced: 14 Apr 2026
https://github.com/arjunan-k/netflix_analysis
Exploratory Data Analysis on Netflix Movies & TV Shows.
matplotlib numpy pandas plotly seaborn
Last synced: 09 May 2026
https://github.com/imaginesamurai/advanced-vision-system
A Python-based camera handling utility that provides seamless control over video capture with advanced zoom functionality. Features include adjustable resolution, smooth digital zoom controls, and efficient frame processing, ideal for computer vision applications.
camera computer-vision cv2 cv2-library night-vision night-vision-camera night-vision-goggles numpy opencv opencv-python python python3 real-time realtime stable supoort thermal thermal-camera thermal-images video
Last synced: 16 Apr 2026
https://github.com/faisal-khann/comprehensive_banking_portfolio
This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.
data-manipulation eda matplotlib numpy pandas powerbi python seaborn
Last synced: 20 Apr 2026
https://github.com/savernish/forgenn
forgeNN is a in-development purpose‑built neural network framework combining a transparent NumPy autograd engine with a Keras‑like API and performance oriented primitives. Developed by a college student with an ambitious feature pipeline.
artificial-intelligence deep-learning keras machine-learning mlp-networks neural-network numpy pytorch tensorflow tensors
Last synced: 08 Oct 2025
https://github.com/sahil210695/tensorflow-model-deploy
Example how to deploy your TensorFlow model in production using the Tensorflow-serving
deployment docker docker-image linear-regression machine-learning numpy prediction python savedmodel tensorflow tensorflow-examples tensorflow-experiments tensorflow-graph tensorflow-model tensorflow-models tensorflow-serving tensorflow-tutorials
Last synced: 21 Jan 2026
https://github.com/ryantusi/ai_ml_fundamentals
Welcome to my GitHub repository showcasing projects completed during the AI/ML Foundation course from Codecademy. This repository contains a collection of projects that demonstrate my skills and knowledge in the field of artificial intelligence and machine learning.
artificial-intelligence data-science data-visualization exploratory-data-analysis foundation machine-learning numpy pandas python
Last synced: 14 Apr 2026
https://github.com/kwanit1142/sars-cov-2-detection-radiology-based-multi-modal-multi-task-framework
Keras-based Implementation for "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework" (Accepted in 45th IEEE EMBC 2k23)
gans keras matplotlib numpy opencv os pandas pillow scipy sklearn tensorflow transfer-learning wasserstein-distance
Last synced: 14 Apr 2026
https://github.com/bursasha/deeplearningai-machine-learning-tensorflow-course
Projects and certificates from a machine learning course focused on TensorFlow and Keras, covering neural networks, CNNs, NLP, and time series analysis 🧠
convolutional-neural-networks deeplearning-ai keras machine-learning mlcourse natural-language-processing neural-networks numpy pandas python-machine-learning recurrent-neural-networks tensorflow
Last synced: 10 Apr 2026
https://github.com/rixiiz/using-knn-to-predict-the-obp-of-mlb-players
Using KNN to 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: 05 Apr 2026
https://github.com/nirmalyabag20/loan-status-prediction-using-machine-learning
This project focuses on predicting the loan status (approved or not approved) based on various applicant details. The goal is to develop a machine learning model that accurately classifies whether a loan should be approved, helping financial institutions make informed lending decisions.
matplotlib numpy pandas python scikit-learn seaborn support-vector-machine
Last synced: 19 Jan 2026