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/thekartikeyamishra/customer-retention-predictor
The Customer Retention Predictor is a Python-based tool designed to help businesses predict customer churn using historical data. This project is particularly beneficial for small businesses and MSMEs in India, allowing them to identify customers at risk of leaving and take proactive measures to retain them.
joblib machine-learning numpy pandas python scikit-learn tinker
Last synced: 16 Apr 2026
https://github.com/dina-hosny/investigate-a-dataset-project
Investigate a Dataset project - Udacity Data Analysis Professional Track. In this project, I used the Python libraries NumPy, Pandas and Matplotlib to analyze a dataset and communicate my findings about it.
csv data-analysis jupyter-notebook matplotlib numpy pandas python
Last synced: 16 Apr 2026
https://github.com/iankitnegi/python_projects
Data Analyst Toolkit: A comprehensive collection of Python scripts and notebooks designed for data analysis tasks. Features data cleaning, visualization, statistical analysis, and machine learning models. Ideal for analysts seeking efficient, reproducible workflows.
matplotlib numpy pandas python seaborn
Last synced: 20 Apr 2026
https://github.com/moonmoonsamal/meesho_order_financial_analysis
Generating insights from Meesho sales data (Oct-Nov)
cleaning-dataset eda numpy pandas visualization
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https://github.com/sahiltiwariiii/dssp
Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc
docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit
Last synced: 27 Mar 2026
https://github.com/michaelgermini/python-3d-programming-book
Complete Python & 3D Programming Book: 30 chapters, 120+ examples, real-time ray tracing, ML graphics, OpenGL, NumPy
3d-graphics computer-graphics educational game-development graphics-programming machine-learning numpy opengl python ray-tracing tutorial
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https://github.com/rahulchouhan1/spotify-most-popular-songs-data-analysis
🎵 Spotify Songs Analysis using Pandas
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https://github.com/marcow2812/zuse-projekt
Python-basierte Software zur Projektion von 3D-Objekten auf einen Würfel
augmented-reality numpy opencv-contrib python
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https://github.com/gkamboj/image-features-extractor
Detect object in any image along with its features like color, etc.
color-classification connexion feature-extraction flask image-classification image-recognition machine-learning numpy opencv python resnet
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https://github.com/bishopce16/school_district_analysis
The school board requested an analysis on the various performance metrics for the school district.
data-analysis jupyter-notebook numpy pandas python visual-studio-code
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https://github.com/dr-rompecabezas/page-view-time-series-visualizer
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matplotlib numpy pandas python seaborn
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https://github.com/basith-ahmed/mtrp-butcher
A Machine Learning model, utilizing a range of technical indicators to accurately forecast forthcoming trend reversals with a high degree of confidence. This model is also complemented by an interactive web interface.
exponential-moving-average ipynb logistic-regression macd machine-learning matplotlib numpy pandas python rsi stochastic-rsi streamlit technical-analysis yfinance
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https://github.com/eckelsjd/copier-numpy
Template for a numpy-based scientific computing Python package.
copier-template numpy pdm python
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https://github.com/kunalkumar2001/data-analyst-python-and-its-library
Python (Basics to Advance) and Its Library for Data Analyst
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https://github.com/priyanshul28/ml_eda_regression_energyconsumptionforecasting
An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.
forcasting machine-learning numpy pandas scikit-learn time-series-analysis
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https://github.com/hansalemaos/npchessimage
Creates a chessboard pattern as an image.
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https://github.com/miozilla/treebasedmodel
treebasedmodel :evergreen_tree::airplane::dancer: : Invistico Airline | Tree-based Modeling, Machine Learning (ML), Predictive, Decision Making, GridSearchCV, sklearn |
accuracy decisiontreeclassifier exemplar experience f1-score flight hyperparameter logistic-regression matplotlib model numpy pandas plot-tree precision pyplot recall seaborn selection train-test-split tuning
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https://github.com/mohamed15058/-credit-card-fraud-detection
Credit-Card-Fraud-Detection
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https://github.com/shashwat9kumar/us-accidents-data-analysis
Analysis of the US accidents using the US-Accidents dataset (4.2 million entries) from Kaggle
accidents accidents-analysis data-analysis data-analytics data-visualisation data-visualization matplotlib numpy pandas python
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https://github.com/ricobuilds/ml-roadmap
Opinionated roadmap to machine learning in 2023
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https://github.com/kodemartin/np-pd-portfolio
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https://github.com/radinshahdaei/ce40215-nc
Theoretical and practical assignments for "Numerical Computation".
jupyter-notebook numpy python sympy
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https://github.com/neerajcodes888/a-novel-used-car-price-prediction-model-based-on-lindenoise
Welcome to the LinDenoise Repository! LinDenoise offers a smart solution for cleaning noisy data in regression tasks. Integrated seamlessly within the widely-used scikit-learn framework, it effortlessly enhances data quality while improving predictive accuracy
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https://github.com/kheriberto/knn_project
This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.
data-analysis knn-classifier numpy python scikit-learn seaborn
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https://github.com/psavarmattas/speechtotext
we shall build a very simple speech recognition system that takes our voice as input and produces the corresponding text by hearing the input.
facebook-api ipython librosa machine-learning numpy python pytorch soundfile transformers
Last synced: 02 Apr 2026
https://github.com/iamwatchdogs/cardiovascular-risk-prediction
This mini-project uses machine learning algorithms to predict possible risks of heart disease by analyzing given data.
jupyter-notebook machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/amirmohammadgholampour/mall-customer-segmentation
Project for segmenting customers in a shopping mall using the Clustering algorithm.
numpy pandas python scikit-learn
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https://github.com/satyas567/weatherdataanalysis
Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed
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https://github.com/lmizner/ece_c247_neuralnetworks
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https://github.com/loong64/pytorch
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https://github.com/ola-kaznowska/-image-processing
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https://github.com/mnagaharshithrao/diamondpriceprediction
Diamond Price Prediction is a machine learning project that predicts the price of diamonds based on features like carat, cut, color, clarity, and more. Using models such as XGBoost, Random Forest, and Gradient Boosting, the project aims to accurately forecast diamond prices, helping buyers and sellers in the diamond industry make informed decisions
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https://github.com/kernel-loophole/numerical-computing
Numerical Computing use python(Numpy,metplotlib).
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https://github.com/renan-siqueira/reinforcement-learning-cart-pole
This repository provides implementations of a Q-learning agent to balance a pole on a cart.
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https://github.com/prashver/end-to-end-model-deployment-on-aws
Student Performance Analysis with Machine Learning analyzes factors impacting student outcomes using a robust machine learning pipeline. Achieving an impressive R2 score, it predicts student performance effectively. With extensive data preprocessing and deployment on AWS Elastic Beanstalk, it ensures scalability and high availability.
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https://github.com/arjunravi26/sentimental-analysis
Sentimental Analysis Project
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https://github.com/raduldev/ibm_capstone_final_project
IBM Data Science Professional Certifcate Capstone Project
api arcgis-api folium-maps foursquare-api ibm-watson jupyter-notebook matplotlib numpy pandas python3 sklearn
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https://github.com/harmanveer2546/nasa-asteroid-classification
Classifying whether an asteroid is hazardous or not.
eda matplotlib numpy pandas python seaborn visualization xbgoost
Last synced: 02 Apr 2026
https://github.com/cosmicsid004/air_draw
Digital drawing....
handtracking mediapipe numpy opencv
Last synced: 30 Apr 2026
https://github.com/tharushi11/titanic-data-analysis
This repository contains a simple prediction model and survival predictions based on the Titanic dataset from Kaggle, along with detailed visualizations using Power BI.
dax machine-learning numpy pandas powerbi sklearn titanic-survival-prediction visualization
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https://github.com/lmizner/codecademy_nba_trends
Investigate whether there is an association between two variables
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https://github.com/sofiakhutsieva/analytical_report_for_producers_of_educational_programs
Подготовка аналитического отчета (Проект в skillbox )
analytics matplotlib numpy pandas seaborn
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https://github.com/vishal-verma-96/oil_spill_prediction_using_ml
This ML project predicts oil spills using various machine learning algorithms like XGBoost and Random Forest. This project also contains saving and load of the model to make predictions on a sample dataset.
data-science machine-learning-algorithms machine-learning-classification matplotlib model-building-and-evaluation numpy pandas pickle python-3 scikitlearn-machine-learning xgboost
Last synced: 17 Apr 2026
https://github.com/prahaladhchandrahasan/object-localization
this is a blue colour detector in keras and tensorflow
computer-vision keras numpy pkl tensorflow
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https://github.com/mgitrov/cnn-on-cifar-10
A computer vision project aiming to classify random images uploaded by the user.
artificial-neural-networks computer-vision convolutional-neural-networks deep-learning keras matplotlib numpy pil regularization tkinter
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https://github.com/shhiivvaam/regression
Linear Regression Model
linear-regression numpy python
Last synced: 10 May 2026
https://github.com/coder36459/fcc-projects
freeCodeCamp projects
bash bootstrap c-sharp css d3 data-analysis html javascript matplotlib numpy pandas postgresql programming python react seaborn sql topojson xml xslt
Last synced: 03 Apr 2026
https://github.com/rosieoh/emergency_dataanalysis
오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석
ipython matplotlib numpy pandas python scikit-learn scipy
Last synced: 04 Apr 2026
https://github.com/neetigyab/pdf_form_parser
Older Test version of designated PDFReader project
excel forms matplotlib numpy ocr opencv pandas pdf pdf-converter pdfplumber pytesseract python
Last synced: 17 Apr 2026
https://github.com/macnianios/retail_sales_analysis
final data science project on techpro academy data science stream
anova clustering colab-notebook data-analysis data-science data-science-projects linear-regression numpy pandas python
Last synced: 17 Apr 2026
https://github.com/noluyorabi/bravais-pearson-interactive
Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.
data-visualization interactive-analysis matplotlib numpy pearson-correlation scipy seaborn statistics streamlit
Last synced: 17 Apr 2026
https://github.com/anas436/numpy-basics-with-python
jupyter-notebook numpy numpy-arrays pandas python3
Last synced: 17 Apr 2026
https://github.com/gregoritsch3/project_python_jobs_data_analysis
A multi-library Data Analysis Python project that draws useful insights from existing job data. It provides useful exploratory insight about job postings in the Data sector, such as the distribution of remote/non-remote jobs, jobs with/without healthcare, top paying and most demanded data roles, and more.
matplotlib numpy pandas python scipy seaborn
Last synced: 04 Apr 2026
https://github.com/sadegh-khedry/comments-sentiment-analysis
text classification on comments using an ANN model.
collections deep-learning keras nlp numpy pandas python sentiment-analysis sklearn spacy unicodedata
Last synced: 04 Apr 2026
https://github.com/abhijeet107/superstore-sales-data
Many more to come stay tune
matplotlib numpy pandas python3 seaborn-python
Last synced: 17 Apr 2026
https://github.com/mariacarolinass/processamento-imagem
Processamento de Imagens com OpenCV
cv2 gradio gradio-interface huggingface matplotlib numpy opencv python
Last synced: 18 Apr 2026
https://github.com/prcharan592/social-media-sentiment-analysis
Social media sentiment analysis using tweets involves analyzing tweet data to determine public sentiment (positive, negative, or neutral) using natural language processing (NLP) and machine learning techniques.
data-visualization machine-learning matplotlib nlp nltk numpy pandas python3 sentiment-analysis spacy tweets
Last synced: 04 Apr 2026
https://github.com/jinhx128/data_analysis
基于Matplotlib+Numpy+Pandas搭建的数据分析项目。
matpolotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/yuvrajsaraogi/sales-prediction-using-python
Sales prediction involves estimating future product sales based on factors like advertising spend, target audience, and platform. Businesses rely on data scientists to forecast sales and optimize advertising costs. Machine learning in Python can be used for this task.
data data-analysis data-science data-visualization machine-learning matplotlib natural-language-processing numpy pandas prediction python sales-prediction-using-python sql
Last synced: 19 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_01
GoIT, Python Data Science, Homework number 1.
data-science google-colab jupyter-nootebook numpy numpy-arrays python
Last synced: 18 Apr 2026
https://github.com/27ahmad/movie-recommendation-system
Welcome to the Movie Recommendation System! This project uses Streamlit to provide personalized movie recommendations based on user preferences and similarity.
movie-recommendation numpy pandas python scikit-learn
Last synced: 04 Apr 2026
https://github.com/jass024/bitcoin-historical-analysis
Performed comprehensive time-series analysis on 14+ years of Bitcoin historical data using Python (Pandas, NumPy, Plotly). Calculated key technical indicators (SMA, EMA, RSI, volatility) to identify market trends, potential anomalies, and areas of regulatory concern. Visualized results using interactive Plotly charts.
Last synced: 18 Apr 2026
https://github.com/ahsouza/timenow
API Laravel & SPA Vue.JS containerized
docker docker-compose dockerfile laravel mysql-database nginx nodejs npm numpy php7 pyaudio python3 security-tools shell-script vagrant vuejs vuesax vuex vuex-store zenity
Last synced: 04 Apr 2026
https://github.com/aaaastark/twitter_sentiment_analysis
Twitter Sentiment Analysis
csv database machine-learning matplotlib numpy pandas python python3 sentiment-analysis sklearn tensorflow text-classification twitter twitter-sentiment-analysis
Last synced: 04 Apr 2026
https://github.com/arnoldchrisoduor1/potato_disease
Trained a CNN to detect the presence and the current stage of Blight disease in potatoes, WebApp in FastAPI and React
fastapi keras numpy react serving-tensors tensorflow
Last synced: 04 Apr 2026
https://github.com/bvsam/nnfs
Basic neural network built using Python and Numpy. Created to better understand neural networks.
artificial-intelligence deep-learning machine-learning neural-network neural-networks numpy python3
Last synced: 18 Apr 2026
https://github.com/kasraskari/python-for-data-science
Foundational concepts and libraries for data science with Python.
data-science jupyter-notebook matplotlib numpy pandas python scipy
Last synced: 04 Apr 2026
https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation
An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.
clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn
Last synced: 04 Apr 2026
https://github.com/alainlebret/python-et-ia-1
Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN
artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn
Last synced: 04 Apr 2026
https://github.com/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization
Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.
abtesting data-science hypothesis-testing machine-learning matplotlib numpy pandas scikit-learn scipy seaborn statsmodels
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https://github.com/yashsonaar/machine-learning-tasks
This repository has machine learning tasks which include classification, recommendation system, fraud detection system
classification jupyter-notebook machine-learning numpy pandas prediction python scikit-learn testing
Last synced: 04 Apr 2026
https://github.com/ccolpasm/pageviewanalyzer
PageViewAnalyzer analyzes and visualizes time series data of forum visits (2016-2019). It uses Pandas, Matplotlib, and Seaborn to create line plots, bar charts, and box plots, highlighting trends, monthly averages, and seasonality in page views. Perfect for data exploration with Python.
data-science matplotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk
OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.
accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
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https://github.com/jsnevt/regressao_linear
Regressão linear simples - Qual a velocidade se levou x distância para parar ?
linear-regression matplotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022
Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.
catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap
Last synced: 18 Apr 2026
https://github.com/armanshadyan/bacteria-detection
Deep learning-powered tool for detecting and analyzing bacteria in microscope images. Designed for microbiology research, it identifies bacteria, counts them, and calculates coverage area with high precision. Supports real-time video processing, single-image analysis, batch processing, and model training.
mediapipe numpy object-detection opencv python pytorch
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https://github.com/alezoon/movie-revenue-prediction
Sk-learn practice using Linear Regression, ML workflow practice.
jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn
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https://github.com/ksasi/dog-breed-classifier
Dog Breed Classifier
cnn cnn-classification computer-vision deep-learning deep-neural-networks keras keras-neural-networks machine-learning numpy pandas python scikit-learn
Last synced: 05 Apr 2026
https://github.com/lmlk-seal/pyspeed
Intelligent Python Performance Optimization Tool Automatically profile, analyze, and accelerate your Python code with minimal effort.
analyzer customtkinter gui intelligent numpy optimization optimization-tools performance python real-world-problem-solving
Last synced: 23 Jun 2026
https://github.com/tinaland101/carcinoma-regression-project
The goal of this project is to analyze and visualize the results of a clinical study involving the treatment of squamous cell carcinoma (SCC) in mice. As a senior data analyst, you are tasked with preparing a technical report for Pymaceuticals, Inc.
linear-regression mathplotlib numpy pandas pyhton
Last synced: 08 May 2026
https://github.com/omogbolahan94/movies-budget-revenue-analysis
Data exploration, data cleaning, data analysis and predictive analysis
dataframe linear-regression matplotlib numpy pandas seaborn statistical-analysis
Last synced: 08 May 2026
https://github.com/kingsley-ezenwaka/mean-var-std
This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.
Last synced: 09 May 2026
https://github.com/venkat-0706/titanic-survival-prediction
A machine learning project predicting Titanic passenger survival using data preprocessing, feature engineering, and model optimization with Logistic Regression, Random Forest, and XGBoost.
classification-report confusion-matrix gridsearchcv matplotlib numpy onehot-encoder pandas sckit-learn seaborn train-test-split xgboost
Last synced: 09 May 2026
https://github.com/brian-hepler-phd/kak-decomposition-qml
Cartan decomposition (SU(4)) via Lie theory and QML – exact + variational approaches for two-qubit gates.
lie-theory machine-learning numpy pennylane qml quantum-computing quantum-gate-decomposition scipy su4
Last synced: 09 May 2026
https://github.com/khushi130404/gradient_realm
Gradient_Realm is a Python project exploring regression techniques and optimization methods like Regularization, Batch, Stochastic, and Mini-batch Gradient Descent. It uses scikit-learn and custom implementations for hands-on learning.
batch-gradient-descent mini-batch-gradient-descent numpy stochastic-gradient-descent
Last synced: 14 Jun 2026
https://github.com/gsaini/streamlit-ui-getting-started
Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!
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Last synced: 14 Jun 2026
https://github.com/shaikats/python-assignment
Simulation and Modeling Lab assignments using Python, NumPy, Matplotlib, and Jupyter Notebook.
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Last synced: 09 May 2026
https://github.com/filnow/tinygimp
project for image processing class
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Last synced: 08 May 2026
https://github.com/sivasurya681/financial-expense-tracker
The Financial Expense Tracker is a Python-based app built with Flet, Pandas, NumPy, and Matplotlib.pyplot for seamless expense management. It enables real-time tracking, categorization, and data visualization through bar and pie charts. Users can generate summaries, export/import data, and make informed financial decisions easily.
calculator-application differntial expense-tracker flet matplotlib-pyplot numpy pandas python salary-calculator total
Last synced: 09 May 2026
https://github.com/0290192029/apartment-price-predictor
Python-проект по прогнозированию стоимости аренды квартир с помощью линейной регрессии. Практическая работа по теме: "Основы машинного обучения" дисциплины "МДК 13.01: Основы применения методов искусственного интеллекта в программировании".
apartment-price-prediction apartments-for-rent api correios-api data-analysis feature-engineering feature-enginering linear-regression linear-regression-models mlops numpy prediction-model r seaborn
Last synced: 08 May 2026
https://github.com/juanpablo70/pgad-assignment01
Breast Cancer Coimbra data set analysis
data data-science dataframe dataset jupyter-notebook matplotlib numpy pandas python
Last synced: 08 May 2026
https://github.com/khaymanii/credit-card-fraud-detection-model
This model was built using python and Logistic Regression Machine Learning algorithm
matplotlib numpy pandas python sckit-learn
Last synced: 09 May 2026
https://github.com/goessl/complex-random
A package for the most basic complex random sampling.
complex complex-numbers complex-plane normal-distribution numpy pip python random random-number-generator uniform-distribution unit-circle
Last synced: 15 Jun 2026