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/ywatanabe1989/scitex-io
Universal scientific data I/O with plugin registry — save/load 30+ formats with one API. Part of SciTeX.
cli csv data-io hdf5 mcp numpy openscience pandas plugin-registry python research scientific-computing scitex
Last synced: 07 Jun 2026
https://github.com/mouradhamzaoui/tweets_sentiments_emotions_analysis
Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle
Last synced: 16 Apr 2026
https://github.com/bharatsharma07/ipl-analysis
This project provides insights into the IPL's historical data, helping to identify trends, player performance, and team strategies.
data-visualization ipl-data-analysis numpy pandas python
Last synced: 16 Apr 2026
https://github.com/shakhthi/mlproject
This project is an end-to-end ML solution that predicts math scores from student attributes. It starts with ingesting and preprocessing data, followed by feature engineering to pinpoint key predictors. A robust model is then trained and fine-tuned before being seamlessly deployed to deliver real-time predictions.
jupyter-notebook matplotlib-pyplot numpy pandas python3 seaborn sklearn
Last synced: 16 Apr 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
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https://github.com/tzepart/choosing-oil-region
Choosing and initialisation a machine learning model that will help determine the region where production will bring the greatest profit with the least risk of loss.
matplotlib ml numpy pandas seaborn sklearn
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https://github.com/rahulsm20/storedata
A data analysis project aimed at analyzing the sales data of the super store and providing useful insight into customer preferences.
data-analysis matplotlib numpy pandas python streamlit
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https://github.com/harmonicode/signal_equalizer
Signal Equalizer is a Python-based application designed to process and analyze various types of signal data, including audio and ECG signals. It provides functionalities for reading, processing, visualizing, and enhancing signal data using techniques such as Wiener filtering.
audio-processing numpy pyqt5 scipy signal-processing wiener-filter
Last synced: 13 Feb 2026
https://github.com/maia-bastos/estimativas
Projeto de Probabilidades, Amostragem e Estimações com dados reais (IBGE).
numpy pandas python3 scipy-stats
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https://github.com/separatrixxx/nm_labs_6_7_sem
👓 Laboratory work for 6 and 7 semesters of MAI on numerical methods
numerical-methods numpy python
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https://github.com/islamshahil/neuralnetworks
Hello World to Neural Network.
deeplearning neural-network numpy python
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https://github.com/codersales/machine-learning-project
Machine Learning Project
code data-science filtered-4 jupyter last-quarter machine-learning not-this-month numpy over-100-commits pandas pseudo-current python repository-6 scikit-learn sub-critical supervised supervised-learning
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https://github.com/kavayk29/speech-recognition-using-tdnn-and-data-augmentation
Developed a speech recognition system using TDNN, preprocessing audio, extracting MFCC features, and training the model. Fine-tuning with augmented data (19,000 rows) improved accuracy from 9% to 80% training and 40% validation. Data augmentation proved crucial for enhancing model performance and generalization. Still working to increase the acc.
deep-learning keras-tensorflow numpy os pandas tdnn tensorflow
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https://github.com/mattia-hulathduwage/wine-quality-analyzer
A machine learning project that analyzes wine quality using clustering, regression, and classification techniques. The model predicts wine quality scores based on chemical properties and determines the most influential features affecting quality.
machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/mchenryspagg/economic-variable-correlation-and-productivity-model
This report provides an in-depth analysis of Nigeria's economic performance over the past decade, spanning from 2014 to 2024.
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https://github.com/ben854719/trade-transfer-workflow-optimizer
This AI portfolio tools securely analyzes asset allocation, sector exposure, and performance. Its graph compares real and predicted close prices, enhanced with sentiment indicators such as “Confident” and “Surprised.” An avatar assistant provides user guidance combining technical accuracy with intuitive explanations.
agentic-ai avatar cryptography emotion-analysis encryption gemini json langgraph langraph machine-learning-algorithms matplotlib mcp-server numpy opencv-python pandas python pytorch rs256 seaborn
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matplotlib modeling-and-simulation numpy scipy seaborn
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https://github.com/jessicahora/studies-on-linear-algebra
Repositorio com Estudos sobre Algebra Linear.
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https://github.com/tansudasli/tensorflow-sandbox
all about machine learning
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https://github.com/ksasi/smartcab
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https://github.com/pramodyasahan/health-insurance-cost-prediction
This project focuses on predicting health insurance costs using a polynomial regression model. By employing machine learning techniques in Python, the project aims to accurately estimate insurance costs based on various personal attributes. The model takes into account several features including age, sex, BMI, number of children, smoking status etc
machine-learning matplotlib numpy pandas python3 scikit-learn
Last synced: 16 Apr 2026
https://github.com/eljandoubi/predict-customer-churn-with-clean-code
Clean Code Principles
autopep8 logging numpy pandas pylint pytest scikit-learn
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https://github.com/hibashajahan55/python-abc-company-analysis
jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/reshmaaiman/liver-patient-prediction
Liver Disease Prediction
data data-science data-visualization dataanalysis jupyter-notebook numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/aadityasikder/neural-network-from-scratch-
This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.
backward-propagation evaluation forward-propagation mnist-dataset neural-network neural-networks-from-scratch numpy training
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https://github.com/bzubs/mlzero
Implementation of widely used ML algorithms in vanilla python
machine-learning machine-learning-algorithms machinelearning numpy python statistics
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https://github.com/eljandoubi/breakout-strategy
Implementation of the Breakout Strategy
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https://github.com/anas436/student-performance-analysis
In this project I have constructed a Machine Learning System which will analyis students performance with about their academic records. Note that, this project will work with any students recods which you want to provide.
data-analysis jupyter-notebook matplotlib numpy pandas python3 seaborn
Last synced: 16 Apr 2026
https://github.com/asadiahmad/image-enhancement
Image Enhancement with OpenCV Numpy and MatPlotLib
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https://github.com/nitor-infotech-oss/aiml-data-processing
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https://github.com/pedasoft-consult/customer_analytics_fmcg
Customer Analytics in FMCG Industry
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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
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https://github.com/archish27/pythontutorial
Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications
matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup
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https://github.com/moonmoonsamal/meesho_order_financial_analysis
Generating insights from Meesho sales data (Oct-Nov)
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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
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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
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data-visualization datascience-machinelearning numpy python3
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Hierarchical coordinate frames - crystal clear transforms
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https://github.com/gkamboj/image-features-extractor
Detect object in any image along with its features like color, etc.
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The school board requested an analysis on the various performance metrics for the school district.
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https://github.com/dr-rompecabezas/page-view-time-series-visualizer
A data science project built as part of the freeCodeCamp curriculum.
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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/sundanc/besthousefinder
A Streamlit web application that helps users find the best house based on their preferences.
numpy pandas prediction python streamlit
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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/lingumd/credit_risk_analysis
Machine learning models for predicting credit risk in LendingClub dataset.
balancedrandomforestclassifier classification-report cluster-centroids-undersampling confusion-matrix easyensembleclassifier get-dummies google-colab imbalanced-learn machine-learning matplotlib-pyplot numpy pandas pathlib randomoversampler scikit-learn smote smoteenn
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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/gautam-cs/data_science
In this project, I was trying to get most of the relevent information of the data using library like numpy, pandas. I have worked on data like aadhar data, Olympics data
aadhar-data csv data-science json numpy olympics-data pandas python35
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https://github.com/mohamed15058/-credit-card-fraud-detection
Credit-Card-Fraud-Detection
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https://github.com/fyt3rp4til/anomaly-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/vaishnavis03/finlatics_ml_program
This repository contains the .ipynb files for 3 datasets, along with a PPT for each. The datasets included are Facebook Marketplace Data, Sales Prediction Data, and Wine Quality data.
correlation data-analysis data-science data-visualization knn linear-regression machine-learning matplotlib numpy pandas random-forest-classifier scikit-learn
Last synced: 17 Apr 2026
https://github.com/gauravtrivedi967/lane_detection
Lane detection and tracking are the advanced key features of the advanced driver assistance system. Lane detection is the process of detecting white lines on the roads. In this we I have used prebuild models for the development of the code
ipython-notebook numpy python thresholding
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https://github.com/defi0x1/facial-expression-recognition
Facial-Expression-Recognition Using CNN
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https://github.com/radinshahdaei/ce40215-nc
Theoretical and practical assignments for "Numerical Computation".
jupyter-notebook numpy python sympy
Last synced: 17 Apr 2026
https://github.com/kheriberto/knn_project
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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/nathadriele/ifood-data-governance-pipeline
Este projeto demonstra uma solução completa de Data Governance com foco em qualidade, rastreabilidade, segurança e conformidade com LGPD. Utiliza tecnologias modernas como Streamlit, Airflow, dbt e Pydantic para implementar um ecossistema funcional e interativo com dashboard de governança de dados.
airflow dashboard data-analysis data-catalog data-engineering data-governance data-quality data-visualization dbt ifood lgpd matplotlib numpy observability-data pandas pipeline pyspark redis seaborn streamlit
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
Last synced: 02 Apr 2026
https://github.com/akshitvats026/heart_disease_prediction
An ML-based Heart Disease Prediction System that predicts the likelihood of heart disease based on user health parameters. Built using Python, Pandas, and Scikit-learn, the system performs data preprocessing, trains a predictive model, and provides real-time predictions with high accuracy.
accuracy-score logistic-regression machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/broodhoney/blue-book-for-bulldozers
This repository holds the project which solves a regression problem on predicting the futures sales of bulldozers. This is from a kaggle competition.
matplotlib numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/lmizner/ece_c247_neuralnetworks
Course work from UCLA's ECE C247 - Neural Networks
backpropogation cnn convolutional-neural-networks convolutional-recurrent-neural-network crnn gated-recurrent-units keras long-short-term-memory lstm machine-learning matplotlib numpy pandas python recurrent-neural-networks regularization rnn sklearn tensorflow
Last synced: 02 Apr 2026
https://github.com/amanimagdi/data-flux-fullstack
This repository is for a full stack application provides in-depth analysis and manipulation of various data types (tabular data, RGB images and textual data), Flask on BE and ReactJs on FE.
flask javascript numpy pandas python reactjs tailwindcss
Last synced: 02 Apr 2026
https://github.com/lmicovic/neural-network-image-recognition
Application that recognize clothes items from images.
fashion-mnist keras machine-learning mathplotlib mnist-classification neural-network numpy opencv pandas python3 tensorflow
Last synced: 02 Apr 2026
https://github.com/pranavv34/customer-segmentation
Predictive modeling and customer segmentation project using neural networks to forecast sales and categorize customers for targeted marketing in the online retail sector.
keras matplotlib numpy pandas python seaborn sklearn tensorflow
Last synced: 02 Apr 2026
https://github.com/niteshchawla/clustering-ml
Analyzing the vast data of learners can uncover patterns in their professional backgrounds and preferences. Allowing Scaler to make tailored content recommendations and provide specialized mentorship.
cluster-analysis clustering hierarchical-clustering k-means-clustering machine-learning numpy pca-analysis visualisation
Last synced: 17 Apr 2026
https://github.com/mac2bua/autoalgo
Autonomous algorithm optimization research - 19x speedup achieved through self-driven iterations
algorithm-optimization autoresearch numpy performance python
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https://github.com/ledsouza/curso_de_estatistica_parte_4
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data-science data-visualization numpy pandas seaborn statsmodels vitrinedev
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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
machine-learning numpy pandas sckiit-learn xgboost
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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/arjunravi26/sentimental-analysis
Sentimental Analysis Project
gensim nltk numpy pandas scikit-learn tensorflow word2vec
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https://github.com/raduldev/ibm_capstone_final_project
IBM Data Science Professional Certifcate Capstone Project
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https://github.com/rakibhhridoy/predictingsequence-timeseriesanalysis
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forecasting functional-programming keras lstm lstm-neural-networks moving-average numpy python tensorflow time-series windowed
Last synced: 02 Apr 2026
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Market Trend analysis using LSTM Model. Use Jyputer Notebook .
lstm-neural-networks machine-learning machine-learning-algorithms numpy pandas python
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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/nikhilsree5/aerofitcasestudy
Customer Profiling and Market Segmentation for AeroFit Treadmills: A Data-Driven Approach
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https://github.com/theakashshukla/diabetes-prediction
Diabetes Prediction using futuristic tool
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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
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
Last synced: 17 Apr 2026
https://github.com/antonio-f/regularization-methods
Shrinkage methods: Ridge Regression and Lasso
lasso lasso-regression machine-learning numpy python regularization ridge-regression scikit-learn
Last synced: 17 Apr 2026
https://github.com/quinnphil/math-for-programmers
Work-alone code for Math for Programmers book by Paul Orland
geometry mathematics matplotlib numpy python
Last synced: 17 Apr 2026
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
Last synced: 17 Apr 2026
https://github.com/smartpottech/smartpot-datagenerator
SmartPot-DataGenerator simulates environmental and plant data (temperature, humidity, luminosity, pH, TDS, soil moisture) for hydroponic garden management. This data is used for testing, analysis, and visualization in the SmartPot web portal, helping optimize plant care without actual hardware sensors.
data-model matplotlib numpy python simulated
Last synced: 17 Apr 2026
https://github.com/mugambi645/classify-song-genre-from-audio-data
Classify song genres using supervised learning models & PCA for dimensiality reduction
decision-tree-classifier logistic-regression numpy pandas pca-analysis
Last synced: 17 Apr 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