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An open API service indexing awesome lists of open source software.

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.

https://github.com/devwithzain/tensorflow-learning

Learning Tensorflow

numpy tensorflow

Last synced: 19 May 2026

https://github.com/fractalyze/zk_dtypes

A NumPy dtype extension used in Zero Knowlege libraries

numpy zk

Last synced: 02 Jan 2026

https://github.com/tabotcharlesbessong/recommendationframeworks

learning deep learning and machine learnint

matplotlib numpy os pandas pillow python3 pytorch

Last synced: 08 Apr 2026

https://github.com/virajbhutada/article-recommendation-system

This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.

anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy

Last synced: 06 Jan 2026

https://github.com/rushikeshbihade/django_bsased_dataanalyzer_webapp

Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.

backend-development bootstrap css3 dataanalysis dataprocessing django-application django-framework djangotemplates html5 javascript numpy pandas plotly-express python3 seaborn-plots webapp

Last synced: 02 Mar 2026

https://github.com/KernFerm/PresFutImpactSim

This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.

economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model

Last synced: 16 Oct 2025

https://github.com/reddyprasade/bicycle-sharing-system-in-us

A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.

dataanalysis jupyter maplotlib numpy pandas python r

Last synced: 29 Aug 2025

https://github.com/nitsc/spell-from-threebodytrilogy

Implemented the process of extrapolating from Gaia stellar data, to 3D visualizations, to three-views, to three-view signals, to three-view audio of signals, and even their inversions. This project proves the feasibility of the Logic (Luoji)'s “spell” from “The Three Body Problem” trilogy.

3d 3d-graphics astronomy astronomy-astrophysics audio audio-processing data data-science data-visualization gaia graph information-technology information-visualization numpy python python-3 python3 signal signal-processing visiualization

Last synced: 02 May 2026

https://github.com/cskhomo/scientific-python

Scientific Computation, Data Analysis using Python, Bash, SQL for FreeCodeCamp Courses.

numpy postresql shell-scripting

Last synced: 14 May 2025

https://github.com/shriram-vibhute/realestateforecast-price-prediction-system

This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.

exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn

Last synced: 07 Apr 2025

https://github.com/theanujsinha01/rainfall-prediction-using-machine-learning

This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.

classification data-analysis eda machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn supervised-learning

Last synced: 11 Apr 2026

https://github.com/davityak03/animal-image-classification-using-cnn

Animal image classification using Convolutional Neural Networks (CNNs) involves training a model to recognize and categorize different animal species based on their images. The CNN architecture excels at automatically extracting features from images, such as shapes and textures, which are crucial for accurate classification.

cnn-classification keras numpy pandas pretrained-models python tensorflow

Last synced: 08 Apr 2026

https://github.com/aneeshmurali-n/ml_bangalore_house_price_analysis

This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.

box-plot correlation data-distribution data-transformation exploratory-data-analysis heatmap histplot iqr-method log-transformation matplotlib numpy outlier-detection outlier-handling pandas percentile-method python scatter-plot scipy seaborn z-score-method

Last synced: 06 Jan 2026

https://github.com/tristan296/deepplate

A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.

cv2 numpy paddleocr sqlite3 ultralytics yolov11

Last synced: 04 Apr 2025

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/msthamizh/singapore-resale-flat-prices-predicting

Developing a Streamlit application that allows users to interactively predict the resale prices of flats in Singapore using machine learning. The application supports regression tasks, enabling users to input various features, such as location, flat type, floor area, and lease start date, and receive predictions for resale prices.

exploratory-data-analysis machine-learning matplotlib numpy pandas python seaborn streamlit

Last synced: 09 Apr 2026

https://github.com/udityamerit/curafind-powered-by-ai

CuraFind AI is a web-based application leveraging Natural Language Processing (NLP) to intelligently recommend medicines. Users can search using symptoms, medicine names, or free-text descriptions, and receive suggestions along with brand substitutes for drugs

ai machine-learning nlp numpy pandas scikit-learn

Last synced: 18 Sep 2025

https://github.com/sumitgirwal/drinks-dataset-data-analysis

A drinks dataset from Kaggle. Applying analysis using Python, NumPy, Pandas, Matplotlib.

dataanalysis drinks-dataset kaggle matplotlib numpy pandas python3

Last synced: 13 Apr 2026

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: 27 Jul 2025

https://github.com/arpandatta011/facial_image_recognition

This project includes the introduction of the facial expression recognition and an investigation on the recent previous researches for extracting the effective and efficient method for facial expression recognition.

cv2 keras matplotlib numpy pandas tensorflow

Last synced: 09 Apr 2026

https://github.com/xaxtric7/learn-numpy

🧮 Welcome to my NumPy Practice repository! This repo contains my hands-on learning, notes, and code experiments as I dive into the fundamentals and advanced features of NumPy – a powerful library for numerical computing with Python.

numpy pyrhon3

Last synced: 15 May 2026

https://github.com/ab23ms233/matrix-calculator

A Python-based matrix calculator for performing operations like addition, multiplication, inverse, determinant, eigenvalues, diagonalization, and matrix functions using NumPy, SymPy, and SciPy.

linear-algebra numpy scipy

Last synced: 11 Aug 2025

https://github.com/nemeslaszlo/titanic-logistic-regression

This notebook covers a simple analysis with logistic regression on the popular titanic dataset.

cufflinks jupyter-notebook logistic-regression matplotlib numpy pandas plotly seaborn sklearn

Last synced: 09 Apr 2026

https://github.com/gourab-sinha/machine_learning

This repository consists of Machine Learning Concepts and Projects.

classification machine-learning neural-network numpy pandas sklearn-library

Last synced: 09 Apr 2026

https://github.com/ayaanjawaid/vizualite

Vizualite allows you to upload dataset and clearly view the attributes and allows you to create vizualizations, you can also download dataset.

matplotlib numpy pandas python3 streamlit

Last synced: 09 Apr 2026

https://github.com/kientech/calories-burnt-prediction-with-machine-learning

The Calories Burnt Prediction with Machine Learning project aims to predict the number of calories burned during physical activities based on various factors such as duration, activity type, age, weight, and more.

fastapi heroku machine-learning matplotlib-pyplot modeling numpy pandas python reactjs tailwindcss

Last synced: 02 Aug 2025

https://github.com/louis-finegan/convection-diffusion-models-finite-difference-method-python3

Applying the finite-difference method to the Convection Diffusion equation in python3. Examples included: One dimensional Heat equation, Transport equation, Fokker-Plank equation and some two dimensional examples.

convection-diffusion finite-difference-method fokker-planck-equation heat-equation jupyter-notebook mathematical-modelling matplotlib matplotlib-animation numpy python3 transport-equation

Last synced: 02 Aug 2025

https://github.com/vortexv7/engagevision-yt

Thumbnail Engager is a Streamlit-based web app that uses AI to analyze YouTube thumbnails, providing actionable feedback to improve engagement. Upload a thumbnail to get insights on its strengths, weaknesses, and tips for maximizing views. Perfect for creators looking to optimize their visuals!

gcp numpy pandas python3 streamlit streamlit-cloud tensorflow youtubeapiv3

Last synced: 09 Apr 2026

https://github.com/docsallover/spam-detection

Building a Spam Filter with Python: Using Machine Learning to Combat Spam

datascience flask jinja2 machine-learning numpy numpy-library pandas pandas-python python python3 scikit-learn

Last synced: 09 Apr 2026

https://github.com/theanujsinha01/customer-segmentation-using-k-means-clustering

This project focuses on customer segmentation using the K-Means clustering algorithm. A user-friendly Streamlit dashboard allows users to upload their own dataset, choose any two numeric features (like age, income, or spending score), and perform clustering. The app dynamically visualizes customer groups, recommends the best number of clusters

jupyter-notebook k-means-clustering machine-learning matplotlib numpy pandas python seaborn streamlit unsupervised-learning

Last synced: 09 Apr 2026

https://github.com/shreeparab1890/movie-recommender-system

This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.

bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization

Last synced: 09 Apr 2026

https://github.com/RedInfinityPro/Laser-Strategy

Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.

math numpy pygame random sys time

Last synced: 30 Sep 2025

https://github.com/malwarebo/carcinet

Basic breast cancer detection using Machine Learning

deep-learning keras machine-learning matplotlib numpy python3 scipy tensorflow

Last synced: 09 Apr 2026

https://github.com/cassiofb-dev/pandasscript

Pandas Script, uma lingaguem para visualizar e gerenciar dados.

compilers lexer numpy pandas parser python

Last synced: 09 Apr 2026

https://github.com/matheussc017/irisclassification_sklearn

Application of Machine Learning technique to classify 3 types of iris flower

data-science machine-learning numpy pandas python

Last synced: 09 Apr 2026

https://github.com/rickymagner/nonlinear-gradient-descent

An example of using gradient descent to approximate noisy data sampled from a cubic curve.

matlab matplotlib numpy octave pandas python

Last synced: 09 Apr 2026

https://github.com/ankushmallick1100/django-insurance-premium-predictor-web-app

This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.

bootstrap bootstrap5 css django gradientboosting gradientboostingregressor html insurance-prediction insurance-premium-predictor machine-learning matplotlib numpy pandas python regression regression-models sklearn tailwind tailwind-css tailwindcss

Last synced: 09 Apr 2026

https://github.com/aymen016/film-recommendation-engine

A machine learning-powered movie recommender system designed to provide personalized recommendations based on user preferences and data analysis. This project includes a backend recommendation engine, a Streamlit-based interface, and a web-based frontend for an enhanced user experience.

flask numpy pandas pickle python scikit-learn streamlit

Last synced: 09 Apr 2026

https://github.com/khaymanii/wine-quality-prediction-model

This is a model built using Python and Random Forest Classifier which is an ensemble algorithm and also a supervised learning algorithm

matplotlib numpy pandas python sckit-learn

Last synced: 09 Apr 2026

https://github.com/ZauJulio/FeaturesAnalyzer

Python data analyze and machine learning tool

gtk machine-learning numpy pandas python sklearn

Last synced: 10 Aug 2025

https://github.com/amanpatel-1234/automatic_data_analyzer_app

📊 Automatic Data Analyzer is a Streamlit web app that performs complete data analysis with just a single file upload. Simply upload your CSV file, and the app automatically generates: Data Overview: Preview, summary statistics, and data types. Visual Analysis: Histograms, distribution plots, and interactive charts for numeric columns.

app data-science data-visualization matplotlib-pyplot numpy pandas python3 seaborn seaborn-plots streamlit

Last synced: 09 Apr 2026

https://github.com/c0sogi/python-dcm

A high-performance Python package for handling ETAS DCM(Data Conversion Format) files used in engine calibration tools like INCA, MDA, EHANDBOOK, and CANape.

automotive dcm ecu-calibration etas inca numpy pandas python

Last synced: 12 Aug 2025

https://github.com/prathameshdhande22/data-visualization-tutorial

Repository Contains all the stuff required for Data Visualization. Numpy Tutorial, Pandas Tutorial, Matplotlib Tutorial, Seaborn Tutorial

data-visualization jupyter-notebook matplolib numpy pandas pandas-dataframe python seaborn tutorial

Last synced: 09 Apr 2026

https://github.com/alexandrbig1/py-design-analysis-algo

Advanced Python project on the design and analysis of algorithms. Includes practical modules on dynamic programming, graph theory, big data (Bloom filter, HyperLogLog), parallel computing (MapReduce), and optimization. Uses libraries like NumPy, Matplotlib, NetworkX, BTrees, PrettyTable, and Datasketch for efficient computation and visualization.

algorithms asyncio git heapq matplotlib numpy python python3 turtle

Last synced: 09 Apr 2026

https://github.com/htlinh0604/invoice-data-extraction

This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bách Hóa Xanh)..

flask numpy ocr-recognition opencv pandas python regex tesseract-ocr

Last synced: 10 Nov 2025

https://github.com/jswong65/machine_learning_nanodegree

Projects of Udacity Machine Learning nanodegree

machine-learning numpy pandas python scikit-learn scipy

Last synced: 09 Apr 2026

https://github.com/nirmalyabag20/wine-quality-prediction-machine-learning

This project analyzes the chemical properties of wines to identify key factors influencing quality. By leveraging machine learning techniques, i aim to develop predictive models that accurately classify wine quality, providing valuable insights for producers and enthusiasts alike.

k-neighbors-classifier logistic-regression machine-learning matplotlib numpy pandas python random-forest seaborn svc

Last synced: 09 Apr 2026

https://github.com/tejasvi541/machine-learning

My Machine and Deep Learning Practice and Projects Notebooks

matplotlib numpy python3 pytorch sklearn tensorflow

Last synced: 10 Apr 2026

https://github.com/mousazourob/stockdataresampler

Python script that resamples an instruments minute by minute candle stick data to any interval

alpha-vantage-api numpy pandas python

Last synced: 07 May 2026

https://github.com/yogeshnile/flight-delay-prediction

In this repo i developed predict a flight delay using machine learning.

flight-delay-prediction jupyter-notebook machine-learning numpy pandas python3 seaborn sklearn

Last synced: 13 Feb 2026

https://github.com/kunalshelke90/predict-bank-credit-risk-using-south-german-credit-data

This is an end-to-end ML project, which aims at developing a classification model for the problem of classifying a given customer profile into either of the risk category (safe or not safe). The final classifier used for this project is CatBoost classifier. Deployed in AWS.

aws cassandra catboost-classifier classification credit-risk data data-science dataanalysis dockerfile finance financial-analysis flask github-actions logging machine-learning mlflow numpy pandas python

Last synced: 03 Jan 2026

https://github.com/mohd-tahzeeb-khan/reverse_dcf-calculator-and-vistualization

This Dashboard is Developed by me. I had Applied for Internship in which i had to develop this Dashboard to showcase my skill and talent.

beautifulsoup bs4 dash dashboard dataframes flask numpy pandas plotly plotly-dash plotly-express python requests shares stock-market

Last synced: 14 Apr 2026

https://github.com/fayzi-dev/machin_learning

Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)

algorithms artificial-neural-networks logistic-regression machine-learning matplotlib matplotlib-pyplot naive-bayes-classifier numpy pandas python python3 seaborn seaborn-plots sklearn sklearn-knn sklearn-library sklearn-linear-model sklearn-linear-regression sklearn-metrics sklearn-svm

Last synced: 09 Apr 2025

https://github.com/alibowndyn/flickerforge

A customizable image and GIF generator mimicking old television static, offering control over colors, blur, dimensions, pixel size, and many more.

numpy pillow pyqt6 python

Last synced: 05 May 2026

https://github.com/mattdelaune/saas_cohort_analysis

This project analyzes customer segmentation and behavior using data science and cohort analysis. Key metrics like CRR, NRR, CLR, and CLV are examined through detailed charts, including the cohort layer cake and CLR vs. CLV cost efficiency analysis. Exploratory Data Analysis and systematic data manipulation reveal actionable insights.

anaconda git jupyter-notebook matplotlib numpy pandas python saas-data sales-data sales-data-analysis-project seaborn

Last synced: 03 Jan 2026

https://github.com/thamirisq/data_analysis_culinary_journey

Project to analyze key information from Culinary Jorney, a marketplace Company, and develop an initial strategy to lead the entire team effectively.

folium-maps groupby-method jupyter-notebook markercluster marketplace-ds matplotlib-pyplot numpy pandas pandas-dataframe streamlit

Last synced: 10 Apr 2026

https://github.com/williyam-m/movie-recommendation-system

Developed a web app with a cosine similarity machine learning model for personalized recommendations based on user history, likes, bookmarks, and activity. Implemented user auth and CRUD operations for movies.

django machine-learning numpy pandas prediction-model python scikit-learn

Last synced: 10 Apr 2026

https://github.com/salmandeveloperz/ml_house_prediction

project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.

classification-model clustering deep-learning machine-learning matplotlib numpy pandas python3 regression-models scikit-learn

Last synced: 10 Apr 2026

https://github.com/dmarks84/coursework_coursework_project_automobile-sales-visualization

Project for IBM Data Science course on Visualization & Dashboards -- Analyzed historical sales data, performing EDA and setting up an interactive dashboard

communication dash dashboards data-modeling elt etl folium matplotlib numpy pandas pipelines plotly python scipy seaborn visualization

Last synced: 10 Apr 2026

https://github.com/nirmalyabag20/diabetes-prediction-using-machine-learning

This project focuses on predicting diabetes using machine learning algorithms based on health metrics like glucose levels, blood pressure, and BMI. By comparing different models, the goal is to identify the most accurate approach for early diabetes detection, showcasing the potential of machine learning in healthcare.

decision-tree-classifier jupyter-notebook kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn svc

Last synced: 18 Jan 2026

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/datarohit/titanic-survival-data--classification

This is a Titanic Survival Data from Kaggle Competition with Multiple Classification Algorithm testing and Detailed Exploratory Data Analysis.

classification-algorithm kaggle-competition machine-learning-algorithms matplotlib-pyplot numpy pandas seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/argemenon/astronomy_and_simulations

I created this repo to learn astronomy and python simulations

astronomy matplolib numpy physics-simulation scipy sympy

Last synced: 10 Apr 2026

https://github.com/bhavyemathur/redstone-ml

High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust

autograd-engine linear-algebra machine-learning numpy pytorch tensor

Last synced: 17 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/raju-2003/indiaai-cyberguard-ai-hackathon

An NLP-powered system to simplify cybercrime reporting by analyzing descriptions, categorizing incidents, and providing actionable insights.

matplotlib nltk numpy pandas python random-forest-classifier re scikit-learn seaborn shap spacy wordcloud

Last synced: 11 Apr 2026

https://github.com/amishmathur1/resumeats

✨ With Resume ATS Analyzer, users can improve their resume quality, boost ATS compatibility, and increase their chances of landing interviews — all with smart AI assistance.

express-python matplotlib-python nltk nltk-python numpy openai-api pandas plotly plotly-dash plotly-express pypdf2 python streamlit wordcloud

Last synced: 11 Apr 2026

https://github.com/cploutarchou/covid-19-tracker-django-app

COVID-19 Tracker Dashboard for Cyprus.

django numpy pandas plotly redis

Last synced: 11 Apr 2026

https://github.com/ryannapp12/quant_trading_engine

A modular, and scalable quantitative trading engine built in Python. This project demonstrates efficient data caching with SQLite, concurrent backtesting, and advanced risk analytics, showcasing best practices in clean code architecture and performance optimization.

algorithmic-trading backtesting dash data-analysis data-visualization fintech lstm machine-learning numpy pandas plotly python quantitative-finance real-time risk-management sqlite technical-analysis tensorflow time-series-analysis trading-strategies

Last synced: 11 Apr 2026

https://github.com/nvinayvarma189/deep-learning-with-tensorflow

This repo consists all the basics of tensorflow and all major Deep Learning algorithms and techniques implemented in tensorflow. It will explain you the basics of tensorflow. You can visualize how tensors flow through a grapg while you create one

autoencoder cnn deep-learning gan matplotlib neural-network numpy pandas python3 reinforcement-learning rnn tensorflow

Last synced: 11 Apr 2026

https://github.com/avijit-jana/used-car-price-prediction

A Streamlit-based application utilizing machine learning to predict used car prices based on features like make, model, year, fuel type, and transmission, enhancing customer experience and streamlining the pricing process.

carpriceprediction data-science jupyter-notebooks machine-learning numpy pandas pickle pricing-data-science python3 streamlit streamlit-webapp webapplication

Last synced: 11 Apr 2026

https://github.com/tasninanika/mammographic-masses-analysis-dt

This project uses a Decision Tree Classifier to predict whether a detected mammographic mass is benign (0) or malignant (1) based on input features.

decision-tree-classifier numpy pandas pyhton3 scikit-learn

Last synced: 11 Apr 2026

https://github.com/faisal-khann/diwali-sales-analysis

The "Diwali Sales Analysis" project aims to analyze the sales data during the Diwali festival period to uncover insights and trends that can help improve marketing strategies and sales performance in the future

csv data-analysis eda jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 11 Apr 2026

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 936 awesome-ebooks 106 awesome-jax 149 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-data-science-programming-projects 90
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