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/iv4n-ga6l/Crowd-move-simulation
Crowd move simulation in python
matplotlib numpy python simulation
Last synced: 28 Apr 2025
https://github.com/raghavendranhp/predictive-analytics-in-automotive-manufacturing-testing-time-optimization
Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.
elasticnet extratreesregressor fastica model-pipeline numpy pandas pca randomforestregressor svr-regression-prediction xgboost
Last synced: 09 May 2026
https://github.com/harmanveer-2546/finding-you-next-perfect-house
In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.
adaboostregressor decisiontreeregressor exploratory-data-analysis house-price-prediction inline linearregression matplotlib numpy onehotencoder pandas plotly python randomforestregressor renting seaborn standardscaler xgbregressor
Last synced: 13 Apr 2026
https://github.com/roaajadaa/car-price-prediction
Use different models to predict car prices using web scraping
beautifulsoup data-visualization loss-functions machine-learning machine-learning-algorithms numpy pandas pickel preprocessing python sklearn
Last synced: 13 Apr 2026
https://github.com/amiralisajadi/image-classification-neural-network
Custom deep learning model for binary image classification. Entirely built from scratch in Python with NumPy, including all ML functions, activations, and optimizations.
deep-learning image-classification image-classification-model machine-learning neural-networks numpy
Last synced: 08 May 2026
https://github.com/hajaarh/malaria_hematie_cnn
Algorithme de rΓ©seaux de neurones convolutionnels
numpy pandas python resnet-50 sklearn-library tensorflow vgg16
Last synced: 13 Apr 2026
https://github.com/saro0307/exploratory-data-analysis-terrorism
Phase 1 of Data Science project (program) to perform Exploratory Data Analysis on Terrorism using Python On Google Colab for Coderscave Internship sept 2023
colaboratory data-analysis datascience machine-learning numpy pandas python seaborn skit-learn visualization
Last synced: 13 Apr 2026
https://github.com/darkksideyoda/dataminingclass
Data Mining Class 101
artificial-intelligence data-science machine-learning numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/dummumounika/ecommerce-sales-categorization
This repository contains Python code for text classification and analysis of e-commerce sales data. The script processes textual descriptions of products and categorizes them into predefined categories using a Naive Bayes classifier. It also includes various analysis and visualization methods to explore the dataset.
machine-learning matplotlib-pyplot ntlk numpy pandas python scikit-learn
Last synced: 13 Apr 2026
https://github.com/blinksta1ker/co2-prediction
EDA and Supervised ML model using Regression to predict Co2 Emissions from Vehicles
jupyter-notebook machine-learning numpy pandas python regression seaborn sklearn supervised-learning
Last synced: 09 Apr 2026
https://github.com/soumyapro/house-price-prediction
Explored different attributes of Boston housing dataset then a part of dataset was used to train the linear regression algorithm after that trained model was used to give predictions on remaining part of dataset.
linear-regression matlplotlib numpy pandas sklearn svm
Last synced: 13 Apr 2026
https://github.com/wasifsohail5/virtual_mouse
Virtual Mouse is an AI-powered, gesture-based control system that replaces traditional peripherals with hand movements. Using MediaPipe for hand tracking and PyAutoGUI for cursor control, it enables seamless clicking, scrolling, and navigation through simple gestures. Experience a futuristic, touchless interaction with your PC! ππ±οΈ
cv2 mediapipe mediapipe-hands numpy opencv pyautogui python
Last synced: 02 Aug 2025
https://github.com/dhruwsunita/zomato-data-analysis-project
Zomato data analysis project using Python.
data-analysis data-visualization jupyter-notebook matplotlib numpy pandas-dataframe python
Last synced: 08 May 2026
https://github.com/eny2930/ai-ml-projects
A project demonstrating various libraries and tools in using algorithms in machine learning. This repository includes code samples, datasets, and detailed explanations.
iris-dataset keras linear-regression logistic-regression matplotlib numpy pandas pytorch sckiit-learn seaborn sentiment-analysis
Last synced: 13 Apr 2026
https://github.com/ishaan28malik/masters-admission-analyser
Admissions of Indian students for foreign universities.
admission classification machine-learning matplotlib numpy python students
Last synced: 08 May 2026
https://github.com/sorabh-kapoor/face-recognition-attendance-system
The Facial Recognition System is an AI-powered application USING FLASK designed to detect and recognize faces with high accuracy. This system can be integrated into various applications, including security systems, attendance management, and identity verification.
flask flask-application knn ml numpy opencv pandas python scikit-learn
Last synced: 13 Apr 2026
https://github.com/cescedes/notes
various concepts in python
lambda-functions numpy pandas probability python python-dictionaries python-files python-strings scipy scipy-stats statistics
Last synced: 09 Apr 2026
https://github.com/intscription/machine-learning
Machine Learning and it's advance concepts
adaboost numpy pandas pca-analysis pipeline random-forest scikit-learn svm
Last synced: 28 Apr 2026
https://github.com/dmarks84/coursework_project_nlp-with-nltk
Project for University of Michigan Applied Data Science Specialization -- Utilized NLTK library to process natural language, and then built several spelling recommenders for a list of misspelled words.
data-modeling databases dataframes eda nlp numpy pandas python reporting statistics text-mining visualization
Last synced: 13 Apr 2026
https://github.com/nishantchamate/semvii_aiml
S.P.I.T. Semester VII'th AIML Experiments
keras matplotlib mlflow numpy pandas plotly pytorch scikit-learn scipy tensorflow
Last synced: 27 Sep 2025
https://github.com/kumartusha/Data_Scientist-AI-ML-_Training_Anudip_Foundation
Anudip Foundation Data Analytics Training π A repository containing projects, assignments, and coursework from the Anudip Foundation Data Analytics training program. This includes work on: π§Ή Data Cleaning & Preprocessing π Data Visualization & EDA π Statistical Analysis
excel matplotlib numpy pandas powerbi python scipy sql
Last synced: 27 Sep 2025
https://github.com/travelxml/amazon-product-reviews-sentiment-analysis-in-python
NPL: Amazon Product Reviews Sentiment Analysis in Python
ai matplotlib ml nlp nlp-machine-learning nltk numpy pandas pandas-python python3 sentiment-analysis sentiment-classification wordcloud wordcloud-generator wordcloud-visualization
Last synced: 09 Apr 2026
https://github.com/lmtreser/intro-data-science
Trayecto de formaciΓ³n en Ciencias de Datos con Python y Pandas
data-science matplotlib numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/nambukeerthi/copper_project
Data Analysis Skills β Work with real-world data. Machine Learning Experience β Build and train models. Web App Development β Create interactive dashboards
eda machine-learning numpy pandas python streamlit
Last synced: 13 Apr 2026
https://github.com/pramodyasahan/spaceship-titanic
This repository features a machine learning model designed to predict whether passengers of a space travel company are likely to be transported. The model employs CatBoostClassifier, a machine learning algorithm known for handling categorical data effectively.
machine-learning numpy pandas python scikit-learn
Last synced: 13 Apr 2026
https://github.com/ditikrushna/identify-customer-segments
In this project, Bertelsmann partners AZ Direct and Arvato Financial Solutions have provided two datasets one with demographic information about the people of Germany, and one with that same information for customers of a mail-order sales company. I have looked at relationships between demographics features, organized the population into clusters, and saw how prevalent customers are in each of the segments obtained.
clustering clustering-algorithm numpy pca
Last synced: 08 May 2026
https://github.com/yesenvidnath/facerecognitionapplight
This is a face recognition application wich is capable of recognizing a person based on thire face and take attendence from it
face-recognition facent flask numpy python
Last synced: 13 Apr 2026
https://github.com/L-Gre/TradeFX-AI
A Python-based project exploring algorithmic trading strategies, including backtesting, real-time data integration, and predictive modeling with TensorFlow and Keras. Key topics include technical indicators, risk management, and leveraging AWS and broker APIs for automated trading.
algorithmic-trading aws backtesting broker-api keras machine-learning matplotlib numpy pandas portfolio-optimisation python real-time-data-integration risk-management technical-indicators tensorflow
Last synced: 26 Sep 2025
https://github.com/manishkumarpatel07/heartattack_risk_prediction
"Heart Attack Risk Prediction" uses machine learning to estimate the likelihood of a heart attack based on user-provided data like physical attributes, symptoms, and medical history. This system enables remote screening, identifying high-risk individuals, and easing medical system burdens by providing early, data-driven health risk assessments.
boruta knn-algorithm matplotlib numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2
Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t
collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score multi-linear-regression numpy ols-regression p-value pair-plot python r-square-values regress-exog residual-analysis smf statsmodels vif
Last synced: 09 May 2026
https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2
Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-template numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statsmodels t-score
Last synced: 08 May 2026
https://github.com/shwetapardhi/assignment-03-q2--hypothesis-testing
Anova ftest statistics A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine wheth
annova ftest hypothesis-testing numpy pandas python scipy significance-testing stats
Last synced: 11 Apr 2026
https://github.com/abhisek-13/multi-commodity-price-predictor
The Multi-Commodity Price Predictor is a machine learning project that predicts the prices of cars, bikes, and laptops. Using advanced techniques, it provides accurate price predictions based on user inputs. The project features an easy-to-use interface built with Streamlit, enabling users to get price predictions quickly and easily.
machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn sklearn sklearn-library streamlit
Last synced: 09 Apr 2026
https://github.com/nahiyanhkhan/stock-market-data-analysis_capstone-project
In this course, learned and solved assignments on SQL and Python. Final capstone project was on analyzing "Stock Market Data". Achieved 100% score in every assignment.
data-analysis data-analytics matplotlib mysql mysql-database numpy pandas python sql
Last synced: 09 Apr 2026
https://github.com/iwitaly/aws-lambda-docker-builder
Docker image for building packages for AWS Lambda with Python environment
aws aws-lambda docker docker-image numpy python python3
Last synced: 09 Apr 2026
https://github.com/saraasgari99/videoclassificationusingdeeplearning
ML pipeline for biological video analysis using cutting-edge CNN architectures and industry-standard data processing and ML techniques
computer-vision data-processing keras-tensorflow machine-learning numpy sklearn tensorflow
Last synced: 13 Apr 2026
https://github.com/mr-chang95/twitter_datawrangling
Twitter Data Wrangling for Udacity's Data Analyst Nanodegree Program
data-visualization data-wrangling dogs matplotlib numpy pandas python twitter
Last synced: 09 Apr 2026
https://github.com/bropenguin847/python-learning
Learning Python for Scientific Programming. Intended for beginners with some knowledge of Python.
array-manipulations convolution jupyter matlab matplotlib-pyplot numpy pandas-python pep8 python python3 scientific-programming scipy spyder-ide vscode
Last synced: 13 Apr 2026
https://github.com/udacity-machinelearning-internship/support-vector-machine
Implementing SVM's using pandas and sklearn in python
numpy pandas sklearn support-vector-machines svm
Last synced: 13 Apr 2026
https://github.com/daniel-brai/alx-t-x-udacity-data-analytics-nanodegree
A 3-month nanodegree going through the intricacies of data analysis with Python and its various libraries such Pandas, Numpy, matplotlib, seaborn and others
matplotlib numpy pandas python3
Last synced: 08 May 2026
https://github.com/olfabelhadj/etude-de-sante-publique-avec-python
OpenClassrooms parcours Data Analyst Projet 4
acp clustering matplotlib-pyplot numpy pandas plotly-express scipy seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/rajan-bhateja/data-analysis-with-python
Cleaning, analysis and visualization on various datasets using Python and its various libraries via Jupyter Notebook
data-cleaning data-science jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/kevinmbeaulieu/machine-learning-practice
ML models & data processing utilities written from scratch as practice.
data-science machine-learning numpy pandas
Last synced: 08 May 2026
https://github.com/chdl17/credit-eda-casestudy
Credit EDA is a GitHub repository designed to provide educational materials and tools for exploring credit risk data. The repository contains notebooks, datasets, and code samples to help users learn and apply these concepts to credit data.
exploratory-data-analysis numpy pandas
Last synced: 08 May 2026
https://github.com/gitluffywd/advanced_video_stabilization_and_roi_pixel_analysis
This repository offers tools for advanced video stabilization and pixel analysis, enhancing your video processing capabilities. Explore features like optical flow tracking and ROI selection to dive deeper into your video data. π οΈπ₯
data-structures debugging english-language git github html markdown numpy opencv project-management python
Last synced: 20 Jan 2026
https://github.com/estaheri7/dotawinpredictor
This project aims to predict the outcome of Dota 2 matches based on the heroes picked by both the Radiant and Dire teams
data-science dota2 machine-learning numpy pandas python random-forest sklearn support-vector-machines
Last synced: 09 Mar 2026
https://github.com/lefteris-souflas/modern-slavery-analysis
Jupyter notebook using machine learning techniques to explore the complex drivers of modern slavery. Models from a research paper are replicated and evaluated . Actions also include filling missing data, training regression models, and analyzing feature importance.
decision-tree feature-importance grid-search-cv imputation jupyter-notebook lasso-regression linear-regression matplotlib mean-absolute-error numpy pandas preprocessing principal-component-analysis python3 random-forest ridge-regression scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/rissh/titanicsurvivalpredictionusingml
Predicting Titanic passenger survival through machine learning. This project includes data preprocessing, exploratory data analysis, feature engineering, and model training using Python. π’
data data-analysis data-science data-visualization dataanalysis jupiter-notebook machine-learning machine-learning-algorithms machinelearning matplotlib numpy pandas prediction prediction-model python python3 seaborn tenserflow tflearn titanic
Last synced: 01 Feb 2026
https://github.com/hasanyahya101/pareto-tutorial-python
This tutorial demonstrates how to create Pareto charts using Python libraries like pandas, NumPy, and Matplotlib. All code for this is given in the Jupyter Notebook.
chart charts code-blocks ipynb jupyter-notebook license markdown matplotlib mit numpy pandas pareto py python
Last synced: 07 Feb 2026
https://github.com/sarowarahmed/advertising-sales-app
π Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.
advertising app machine-learning multiple-linear-regression numpy pandas sales scikit-learn streamlit
Last synced: 07 Feb 2026
https://github.com/mrmalik2512/catsvsdog.github.io
A CNN model integrated with flask backend the project is trained on image data of dogs and cats and integrated with a website predicts the given image is dog or a cat
deep-learning numpy python scikit-learn tensorflow
Last synced: 09 Apr 2026
https://github.com/avinashkrishna07/plant-disease-prediction-cnn-deep-leanring-project
Plant Disease Prediction with CNN - Deep Learning Project
cnn-for-visual-recognition docker keras-tensorflow machine-learning numpy streamlit-webapp
Last synced: 09 May 2026
https://github.com/niteshchawla/aerofit-casestudy
The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.
matplotlib-pyplot numpy pandas probability python seaborn statistics
Last synced: 09 Apr 2026
https://github.com/sharkb8t/credit-risk-classification
Demonstrates my abilities to use Jupyter Notebook with scikit-learn to train and evaluate a machine learning model.
jupyter-notebook numpy pandas pathlib python scikit-learn
Last synced: 15 Apr 2026
https://github.com/waghraj1699/codeclauseinternship_customer_segmentation_tool
Implementing customer segmentation using ML, covering exploring advantages, preprocessing, K-means clustering, and visualization.
data-preprocessing kmeans-clustering machine-learning numpy pandas visualization
Last synced: 08 May 2026
https://github.com/chandkund/customer-segmentation
Customer segmentation divides customers into distinct groups based on characteristics and behaviors. This project uses K-Means clustering, an unsupervised machine learning algorithm, to segment customers and provide insights for targeted marketing strategies
kmeans-clustering matplotlib numpy pandas python seaborn
Last synced: 15 Apr 2026
https://github.com/mzayles/analise-descritiva.py
Curso ProgramaΓ§Γ£o em Python para Data Science | AnΓ‘lise descritiva e mensuramento de dados de um report consolidado utilizando matplotlib.
matplotlib numpy pandas python
Last synced: 08 May 2026
https://github.com/oaerobert/python-for-finance
Implementations of financial mathematics and statistics using the "Python for Finance" textbook. Includes Monte Carlo simulations, predictive stock prices using ML strategies and real world data visualisations.
matplotlib numpy pandas python
Last synced: 09 Apr 2026
https://github.com/coueghlani/nlp
Proyecto de Procesamiento de Lenguaje Natural y AnΓ‘lisis de Datos
mineria-de-datos nlp nlp-machine-learning nltk numpy procesadores-de-lenguajes sklearn spacy
Last synced: 08 Feb 2026
https://github.com/satvikpraveen/numpymasterpro
A hands-on, production-ready toolkit to master NumPy β from first principles to real-world applications. Includes modular Jupyter notebooks, reusable utility scripts, cheatsheets, and advanced projects like K-Means clustering from scratch.
broadcasting data-analysis data-science data-source data-visualization jupyter-notebook kmeans-clustering linear-algebra machine-learning matrix-algebra numerical-computation numpy numpy-broadcasting numpy-examples numpy-tutorial open-source python scientific-computing standardization vectorization
Last synced: 08 May 2026
https://github.com/rampal-punia/data-science-toolkit
Your Go-To Resource for Essential Data Science Related Commands, Concepts, Quick Overviews and Useful Functions.
artificial-intelligence data-science keras machine-learning matplotlib nlp nlp-machine-learning numpy pandas pythorch sql tensorflow
Last synced: 09 Feb 2026
https://github.com/hansalemaos/all_against_all
Each item of a list against all others
Last synced: 02 Apr 2026
https://github.com/shaulamarquez/data-job-market
This is a Data Job Market analysis
analysis matplotlib numpy python seaborn
Last synced: 09 May 2026
https://github.com/codealphaprojects/spotify-music-recommender
CodeAlpha Machine Learning Task-1
jupyter-notebook machine-learning matplotlib numpy pandas pycharm-ide python scikit-learn spotify spotify-api streamlit vscode
Last synced: 09 Feb 2026
https://github.com/mrandolph95/grad-projects
Projects completed during my ASU grad program for Social Data Science.
beautifulsoup nltk numpy pandas regression-analysis sckiit-learn seaborn selenium
Last synced: 09 Apr 2026
https://github.com/carterbox/libimage
Provides large (2k) test images as NumPy arrays.
Last synced: 15 Apr 2026
https://github.com/harmanveer-2546/statistics-for-machine-learning
Statistical tools help you clean and organize your data. You can identify outliers, manage missing values, and ensure your data is in a format that the ML algorithms can understand.
inline matplotlib matplotlib-styles numpy pandas probability python seaborn statistics
Last synced: 18 Apr 2026
https://github.com/krish57-bit/sentiment-analysis-using-bert
Sentiment analysis using NLP techniques and BERT Model
matplotlib natural-language-processing nlp nltk numpy pandas seaborn sentiment-analysis
Last synced: 08 May 2026
https://github.com/mikasjp/signal-processing
Signal processing playground
digital-signal-processing dsp fast-fourier-transform fft numpy
Last synced: 16 Apr 2026
https://github.com/sunilvarma-l/zomato-data-analysis-using-python
its a Python-based project to analyze and visualize Zomato restaurant data. This project explores various aspects of restaurant data, such as customer reviews, restaurant ratings, locations, and cuisines, with the aim of uncovering insights and trends in the food industry.
googlecollab matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/abideen-olawuwo/stroke-prediction
A stroke Prediction Model
adaboostclassifier catboost decision-tree-classifier kneighborsclassifier logistic-regression matplotlib numpy pandas random-forest-classifier seaborn sklearn xgboost-classifier
Last synced: 09 Apr 2026
https://github.com/owenl0000/housepricesproject
Kaggle Project
data-analysis data-science data-visualization gridsearchcv kaggle-competition kaggle-dataset linear-regression machine-learning machine-learning-algorithms numpy onehot-encoding ordinal-encoding pandas python random-forest-regression sckit-learn seaborn streamlit xgboost-regressor
Last synced: 09 Apr 2026
https://github.com/rezapace/machine-learning-sound-detection
Welcome to the Machine Learning Detection Sound project! This project harnesses the power of machine learning to analyze car sounds, enabling the detection of vehicles based on their audio signatures.
colab-notebook googlecolab jupyter-notebook machine-learning numpy pathlib python python3 sound source tensorflow voice voice-recognition
Last synced: 09 Apr 2026
https://github.com/anuraganalog/random-test-case-generator
Generate Random Test Cases
arrays case characters file generation generator hacktoberfest hacktoberfest2020 matrices numbers numpy py python3 random random-test-case string test test-cases
Last synced: 11 Feb 2026
https://github.com/mindkerchief/baselineml
A collection of machine learning task performed during my studies in computer science major in intelligent system.
decision-tree dummy gaussian-mixture-models kmeans-clustering linear-regression logistic-regression machine-learning matplotlib numpy pandas random-forest scikit-learn seaborn tensorflow
Last synced: 16 Apr 2026
https://github.com/jjwizardmp/gallery-art-problem
Resolve the Gallery Art Problem implement BFS and Delaunay Triangulation
jupyter jupyter-notebook jupyterlab mathplotlib numpy pandas python python-env python3 scipy shapely
Last synced: 09 Apr 2026
https://github.com/mustafaozvardar/image-classification-webapp
This project features an AI model for diagnosing pneumonia from chest X-ray images. Users can upload a chest X-ray image through the app, and the model will classify it.
artificial-intelligence computer-vision keras numpy python streamlit streamlit-webapp tensorflow
Last synced: 27 Feb 2026
https://github.com/isratafrin826/neural-networks-ann_using_mnist-dataset
matplotlib-pyplot numpy seaborn tensorflow
Last synced: 16 Apr 2026
https://github.com/saurabh274/aerofit-statistics-and-probability
The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.
matplotlib-pyplot numpy pandas probability python seaborn statistics
Last synced: 08 May 2026
https://github.com/0xunkn0wn4m1r/data_engineering_banking_project
π¦ Build a complete data engineering workflow for a banking system, showcasing ETL processes, data transformations, and an interactive financial dashboard.
automation data-analysis data-cleaning data-science feature-engineering fintech-bank flask-api loan-default-prediction machine-learning mlops model-explainability numpy postgresql scikit-learn segmentation shap sql unsupervised-learning
Last synced: 09 Apr 2026
https://github.com/walkerdustin/python-linear-regression
simple linear regression in python based on coursera andrew ng course
ai linear-regression machine-learning ml numpy python
Last synced: 05 May 2026
https://github.com/kkkaan/tensor-library-403-hw1
A numpy like library for tensor (gergen) operations.
deep-learning numpy python tensor
Last synced: 08 May 2026
https://github.com/ashar97/advanced-machine-learning
Advanced Machine Learning MOOC Specialisation Assignments
keras numpy python3 tensorflow
Last synced: 09 Apr 2026
https://github.com/yalai92/alfalfa_imp_exp_analysis
This repository covers data cleaning, analysis, and visualization of global alfalfa and pellet imports, focusing on trends from 2003 to 2023. It also includes a predictive analysis of global alfalfa demand for 2024-2029, using data science techniques to provide insights for stakeholders in the alfalfa industry.
data-analysis data-cleaning data-visualization matplotlib numpy pandas python sckiit-learn tableau
Last synced: 12 Feb 2026
https://github.com/spoortimorabad/personally-identifiable-information-pii-
Detecting Personal Information and Masking Method
faker llms numpy pandas pre-trained-model python streamlit structured-data supabase torch unstructured-data
Last synced: 16 Apr 2026
https://github.com/nova-land/kalmanfilter-python
Kalman Filter in PyTorch and Numpy
kalman-filter numpy python pytorch
Last synced: 08 May 2026
https://github.com/haimgoldfisher/data_sience_intro_final_project
Final project of the Data Sience Intro course, Ariel university.
bayes classification decision-trees diamond kaggle knn-classification linear-regression logistic-regression numpy pandas regression scikitlearn-machine-learning sklearn wine
Last synced: 16 Apr 2026
https://github.com/diegodscamara/whisperlive
ποΈ WhisperLive: Real-time audio transcription powered by OpenAI's Whisper model. Convert live speech to text with high accuracy, supporting multiple languages and real-time processing. Perfect for accessibility, content creation, and live captioning.
ai blackhole numpy python wave whisper
Last synced: 09 May 2026
https://github.com/shingiraibhengesa/house-price-predictor
A machine learning project that predicts house prices based on user input features such as square footage, number of bedrooms, and more.
machine-learning-models matplotlib numpy python scikit-learn seaborn
Last synced: 09 May 2026
https://github.com/niteshchawla/online-marketing-time-series-case-study
An ads and marketing based company helping businesses elicit maximum clicks @ minimum cost.
acf arima-forecasting exogenous-factors exploratory-data-analysis numpy pacf-autocorrelation pandas prophet-facebook-model sarimax-model time-series-analysis
Last synced: 01 Aug 2025
https://github.com/klima7/numpynet
Convolutional Neural Network written from scratch using numpy with API similar to tensorflow.
cnn convolution network nn numpy scratch tensorflow
Last synced: 24 Sep 2025
https://github.com/separatrixxx/nm_labs_6_7_sem
π Laboratory work for 6 and 7 semesters of MAI on numerical methods
numerical-methods numpy python
Last synced: 16 Apr 2026
https://github.com/rakesh3596/tutedude_projects
It consist of 3 major project 1:Covid19 Analysis 2:Rainfall Prediction 3:Tumor Detection
csv-files matplotlib numpy pandas plotly python sklearn-library
Last synced: 16 Apr 2026
https://github.com/jahanostg/healthguard_with-smart-ai-diagnosis-hub
This project is a Flask-based platform for patients, donors, and doctors, integrating hospital management in one solution. It uses Machine Learning models for predictive health analysis and Power BI for interactive dashboards. Through this project, I enhanced my skills in full-stack development, applied ML, and healthcare data solutions.
css flask-api google-colaboratory-notebooks html5 js machine-learning mysql numpy pandas pkl-model powerbi python-3
Last synced: 09 Apr 2026
https://github.com/abideen-olawuwo/sentimental-analysis
A sentimental analysis on movie Black Adam
beautifulsoup imbd-movies nlp numpy pandas python requests sentiment-analysis torch transformer
Last synced: 09 Apr 2026
https://github.com/aravinda-1402/covid-detection-model-using-chest-x-ray
The objective of this project is to develop a Deep Learning Model to identify the X-Rays of healthy vs. Pneumonia (Corona) afflicted patients using the Chest X-Ray dataset, and use this model to power the AI application to test the Corona Virus in a faster phase.
classification cnn covid flask keras numpy pandas tensorflow
Last synced: 09 Apr 2026