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/patilsukanya/assignment-07-clustering-q2-crime
Used libraries and functions as follows:
clustering-algorithm dbscan eda groupby-method matplotlib-pyplot numpy pandas python scatter-plot sklearn standard-scaler
Last synced: 11 Apr 2026
https://github.com/shwetapardhi/assignment-03-q1--hypothesis-testing
Q1.A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit
hypothesis-testing numpy p-value pandas python scipy significance-testing stats t-test
Last synced: 11 Apr 2026
https://github.com/dan-niles/neural-networks-from-scratch
A neural network implemented using only NumPy and Pandas for CS3631: Deep Neural Networks
Last synced: 05 May 2026
https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics
✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.
data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control
Last synced: 11 Apr 2026
https://github.com/alainlebret/python-et-ia-2
Personal resources from my course "Python & IA"
artificial-intelligence deep-learning image-processing machine-learning matplotlib neural-network numpy python scikit-image scikit-learn
Last synced: 12 Apr 2026
https://github.com/erikbrinkman/hilbert-bytes
A python library for converting between d-dimensional points and indices on a hilbert curve
hilbert-curve numba numpy python
Last synced: 08 May 2025
https://github.com/bhaskarkulshrestha/rock-vs-mine-prediction
A machine learning project to predict whether an object detected underwater is a rock or a mine using Logistic Regression.
colab-notebook logistic-regression machine-learning numpy pandas python sckit-learn supervised-learning
Last synced: 05 May 2026
https://github.com/dastogirrudro/machine-learning-and-deep-learning
This is my thesis project which i have done in varsity.Here i used machine learning and deep learning i used LSTM as deep learning.This can identify aggresive spam message. Here i used pandas scikit-learn and many more framework i used python as a programming language.I used many algorithm for highering the accuracy of my project.
deep-learning lstm machine-learning numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/manoj-kumar-c/data_analyst_projects
Live Data Analyst Projects.
Last synced: 07 Feb 2026
https://github.com/ricardorobledo/ml_optimization
matplotlib numpy python scikit-learn xgboost
Last synced: 11 Apr 2026
https://github.com/egorouv/deepmachinelearning
DML Course
deep-machine-learning numpy python pytorch sklearn
Last synced: 05 May 2026
https://github.com/daksh777/expressando
Expressando is a rock, paper, scissors game made using Python (TensorFlow, Keras and OpenCV)
keras keras-tensorflow machine-learning numpy opencv opencv-python tensorflow
Last synced: 13 Apr 2026
https://github.com/amanda-ucc/market-tracker
Automated portfolio creator that generates a portoflio which mimics a bench mark index by minimizing the tracking error.
beta covariance numpy pandas scipy sharpe-ratio tracking-error variance yfinance
Last synced: 11 Apr 2026
https://github.com/gustavo-venceslau/housing-price
A Machine Learning project to create a model to predict housing prices. The project is based on the example in chapter 2 of the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélion Géron
conda machine-learning matplotlib numpy pandas python sklearn
Last synced: 13 Apr 2026
https://github.com/winterwind/ecg_signal_classification
Two-part project that involves detecting the R-peaks in an ECG signal to extract the individual ECG beats and making a machine learning model to classify them
csv csv-files data-science decision-trees ecg ecg-classification ecg-signal jupyter jupyter-notebook knearest-neighbors knn machine-learning matplotlib matplotlib-pyplot numpy pandas pyplot python random-forest scipy
Last synced: 11 Apr 2026
https://github.com/mgitrov/lifespan-x-population-status
A machine learning project aiming to predict animals' lifespan and population status.
bs4 data-science machine-learning matplotlib numpy pandas python regular-expressions requests seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/swarnabhaghosh/house-price-prediction-model
Built an end-to-end regression pipeline to predict house prices using Linear Regression with automated preprocessing (PowerTransform, StandardScaling) via Scikit-learn's Pipeline and ColumnTransformer.
column-transformer linear-regression matplotlib-pyplot numpy pandas pipeline python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/nishi1612/knight-tour-problem
IT485 Logic of Inference Project on Knight's Tour. A hamiltonian path problem to determine path of knight to travel entire chessboard with every cell visited only once.
backtracking-algorithm bootstrap flask html knights-tour localhost numpy pygame python tkinter warnsdorff
Last synced: 11 Apr 2026
https://github.com/williamfridh/umu_5tf078_paper_keyboard_tracker
Project exploring how a CNN alongside computer vision can be used to detect drawn keys and track finger input,.
cnn-classification computer-vision keras-tensorflow numpy python tensorflow
Last synced: 07 Jan 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-scatter-parametric-curve-graph
A demo of creating a 3d scatter parametric curve graph.
3d curve graph matplotlib numpy pandas parametric python scatter web
Last synced: 09 Apr 2026
https://github.com/hamishivi/denserflow
A basic numpy neural net library. This achieved high marks in a uni assignment!
deep-learning neural-network numpy
Last synced: 18 May 2026
https://github.com/johanntf/direccion_maximo_crecimiento
Dirección de máximo crecimiento en una función multivariable dado un punto de partida
customtkinter matplotlib numpy python
Last synced: 18 May 2026
https://github.com/sanjanahombal/study-on-sentiment-analysis
This project explores the optimal combination of Bag-of-Words and TF-IDF vectorization with Naive Bayes and SVM for sentiment analysis. It evaluates performance using accuracy, precision, recall, and F1-score, addressing ethical concerns like data privacy and bias to improve sentiment classification in real-world applications.
bag-of-words confusionmatrix googlecollab gridsearch-crossvalidation matplotlib-pyplot naive-bayes-classifier numpy pandas seaborn sklearn svm-classifier tfidf-vectorizer
Last synced: 07 Jan 2026
https://github.com/sultanazhari/customer-habit-analysis-model
Megaline company wants to develop a model that can analyze consumer behavior and recommend one of Megaline's two new plans: Smart or Ultra. In this classification task, we need to develop a model that is able to choose the right package
accuracy-score decision-tree-classifier logistic-regression matplotlib-pyplot numpy pandas python3 random-forest-classifier seaborn train-test-using-sklearn
Last synced: 11 Apr 2026
https://github.com/toon-van-berkel/imagetovideofx
ImageToVideoFX is a simple Python project that takes an image (JPG/PNG) and transforms it into a short video with a smooth zoom effect. You can optionally add background music. This is perfect for content creators or developers who want to automate turning images into engaging video content.
imagetovideo moviepy numpy pillow python
Last synced: 08 May 2025
https://github.com/santiagoenriquega/custom_neural_net
This repository focuses on building a neural network from scratch using only base python and Numpy.
gradient-descent neural-network numpy optimization python
Last synced: 18 May 2026
https://github.com/trups39/nyc-green-taxi-trip-analysis
Analyze NYC Green Taxi data, predicting fares and optimizing pickup locations using Regression machine learning models uncover travel patterns.
numpy pandas predictive-modeling python3 regression-models skit
Last synced: 17 Feb 2026
https://github.com/rajesh9943/developing-a-bike-buyer-sales-report-dashboard-using-excel
This dataset has details of 1000 users from different backgrounds and whether or not they buy a bike. This data can be used to build the dashboard in Google Sheets. There are some NA (Null / Empty) values injected in the dataset. Use this dataset for Data Cleaning, Exploration, and Visualization.
excel google-sheets numpy pandas-library python3
Last synced: 17 May 2026
https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression
Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.
deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn
Last synced: 05 Apr 2026
https://github.com/dor-sketch/audio-visual-synth
Combining real-time graphics, audio synthesis, and interactive elements to create an engaging, cross-platform music visualizer.
image-processing midi-player music-composition musicsheet notes-tool numpy pygame pygbag pyopengl
Last synced: 18 May 2026
https://github.com/ksalekk/ct-visualizer
computed-tomography dicom medical-imaging numpy pyside6 python
Last synced: 18 May 2026
https://github.com/wondermongering/nonlineardatagen
A flexible Python framework for generating, fitting, and visualizing noisy nonlinear data. Perfect for educational purposes, algorithm testing, and demonstrating statistical concepts. Includes tools for various noise models, custom function fitting, robust error metrics, and publication-quality visualizations
curve-fitting data-simulation data-visualization education educational-tool interpolation mathematical-modelling matplotlib noise-modeling numpy regression-analysis scientific-computing scipy signal-processing statistics teaching-resource time-series-analysis
Last synced: 22 Aug 2025
https://github.com/yash22222/analysis-of-amcat-aspiring-minds
Analyzing employment outcomes for engineering graduates based on a provided dataset. Specifically, it aims to verify a claim regarding the salary range for fresh graduates in certain engineering roles and investigate potential relationships between gender and specialization preferences.
amcat aspiring-minds charts computer-engineering data-analytics data-vizualisation dataset graph machine-learning matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/yesenvidnath/facerecognito-pythonfacialrecognitionapplication
this is a web application created to detect faces using a pre-given image links through Excel format, this project uses Pytorch & Flask
Last synced: 10 Apr 2026
https://github.com/aminkhavari78/-maternal-health-risk-data-set
In this part I'm working on Maternal Health Risk Prediction
data-science linearsvc machine-learning matplotlib numpy pandas scatter-plot sklearn
Last synced: 05 May 2026
https://github.com/nermeenkamal/population_growth_analysis_and_visualization
Python
analysis data-science dataset matplotlib numpy pandas python seaborn visualization
Last synced: 02 May 2026
https://github.com/altaris/turbo-broccoli
JSON (de)serialization extensions
bokeh json keras numpy pandas pytorch serialization sklearn tensorflow
Last synced: 04 Jan 2026
https://github.com/nikhilfuke1/movies-recommendation-system-python-project-
This project is a simple movie recommendation system built using Python. It suggests movies based on the similarity of titles and a predefined similarity score matrix.
difflib numpy pandas python sklearn
Last synced: 30 Dec 2025
https://github.com/kr1shnasomani/facetronix
A toolkit for face detection, annotation, and mask recognition.
computer-vision deep-learning keras neural-network numpy opencv tensorflow
Last synced: 05 Apr 2026
https://github.com/yalai92/master_academic_projects
This repository is dedicated to showcasing the academic projects completed during my Master in Data Science & AI. The main objective is to show a collection of projects in various data science fields, including: data cleaning & preprocessing, data analysis, data visualization, machine learning, clustering, among others.
automation clustering data-merging google-colab jupyter-notebook machine-learning matplotlib numpy pandas powerbi python sklearn xgboost
Last synced: 13 Jun 2025
https://github.com/muhkartal/fr-framework
A modular and extensible face recognition framework featuring real-time detection, facial landmark analysis, and recognition with API support.
dlib face-recognition fastapi numpy opencv pillow pydantic python-multipart requests scipy uvicorn
Last synced: 13 Apr 2026
https://github.com/zalkklop/lvsm
Official code for "LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias" (ICLR 2025 Oral)
attention-mechanisms deep-learning github-config large-view-synthesis matplotlib multi-label-classification nltk numpy one-vs-rest python seaborn sql tensorflow transformers
Last synced: 09 Apr 2025
https://github.com/DYK-Team/vna-impedance-measurements
Calibration and deembedding for impedance measurments
antenna-equation cst-studio de-embedding delay-time lab-automation magneto-impedance microstrip numpy pcb-cells phase-unwrapping probe python rohde-schwarz scattering-parameters scpi-instruments sensors solt-calibration surface-impedance vna zhejiang-university
Last synced: 08 May 2025
https://github.com/raminbadri/machine-learning-with-python
This where I will upload all my machine learning projects and samples
classification clustering data-science jupyter-notebook machine-learning matplotlib numpy pandas python3 regreession scikit-learn
Last synced: 12 Apr 2026
https://github.com/guifernandess7/ciencia-de-dados-e-ml-notebooks
Notebooks com uso dos módulos Pandas, Numpy e Matplotlib para análise de dados e criação de gráficos e tensorFlow e seaborn para machine learning e visualização
machine-learning matplotlib numpy pandas python tensorflow
Last synced: 04 Apr 2026
https://github.com/lgope/book-recommender-system
Book recommender system a Collaborative Filtering Based Recommender System using Machine Learning, Numpy, Pandas Python, Flask, Kaggle Dataset
collaborative-filtering flask html-css jupyter-notebook kaggle-dataset machine-learning numpy pandas python
Last synced: 13 Apr 2026
https://github.com/christabelsakyi/employee_attrition_prediction
This project implements a machine learning pipeline for predicting employee attrition using HR data. The system analyzes various factors that contribute to employee turnover and provides predictions to help HR departments take preventive measures.
machine-learning numpy pandas plotly python sklearn streamlit
Last synced: 09 Apr 2026
https://github.com/shshojaei/python-tutorial
Python tutorials
jupyter-notebook matplotlib numpy pandas programming-t python python-tutorial scipy seaborn tutorial
Last synced: 05 Apr 2026
https://github.com/adikahnf/Data-analysis-with-Python
data-analysis numpy pandas python streamlit
Last synced: 31 Dec 2025
https://github.com/sudarshanc00/brain-tumor-classification
This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.
matplotlib numpy pytorch resnet scikit-learn streamlit
Last synced: 10 Apr 2026
https://github.com/mathensley/asimpleneuralnetworklib
A simple library in Python for training datasets using neural network models
deep-learning neural-networks numpy python
Last synced: 19 Apr 2026
https://github.com/firewind25/gdp-data-extraction-and-processing
Data Extraction from a web resource using Web-Scraping and request APIs. Processed it using Pandas and NumPy libraries. Finally exporting it to csv file for further analysis
numpy pandas python webscraping
Last synced: 12 Jul 2025
https://github.com/blinksta1ker/spam-mail-classification
Supervised ML model using Logistic Regression model to classify an email as Ham or Spam
jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn supervised-machine-learning
Last synced: 09 Apr 2026
https://github.com/paulinhok14/csgo-datascience-project
📊 Analysis of CS:GO grenade usage patterns and their impact on match outcomes using data science and statistical methods.
matplotlib mlflow numpy python scikit-learn scipy seaborn
Last synced: 30 Dec 2025
https://github.com/zombietdv/cnn_and_beta-vae-
CNN and Beta-VAE implementation. Only Numpy as the main library.
automatic-differentiation backpropagation-algorithm beta-vae cnn deep-learning numpy optimization-algorithms
Last synced: 21 Mar 2025
https://github.com/mnitin-reddy/image-compression-using-k-means-clustering
This project implements the K-means algorithm for clustering and image compression. It reduces the number of colors in an image using K-means, achieving compression while maintaining key visual features. The project demonstrates the process on a sample dataset and a real image.
image-processing imagecompression kmeans-clustering machine-learning matplotlib numpy
Last synced: 19 May 2026
https://github.com/redinfinitypro/ai_projects
Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.
newspaper nltk numpy python random sklearn string warnings
Last synced: 20 Jul 2025
https://github.com/tahir1072a/titanic-veri-analizi
Kaggle Titanic veri seti kullanılarak NumPy ve Pandas ile yapılan veri analizi projesi.
data-science kaggle numpy pandas python titanic-survival-prediction
Last synced: 30 Dec 2025
https://github.com/Madhuresh2011/Leetcode-Questions-Analysis-Using-Python
The LeetCode Question Analysis is a Python-based project designed to help users analyze and gain insights into LeetCode problems. It allows users to track, categorize, and evaluate their progress, identify patterns in problem-solving, and optimize the preparation.
analysis csv-files matplotlib-pyplot numpy pandas python python-project seaborn
Last synced: 13 Sep 2025
https://github.com/danish-jamil-01/image-dehazer
Remove the haze from the image using dark channel prior and guided filter
dark-channel-prior guided-filter guided-filtering ndimage numpy open-cv opencv opencv-python pillow python scipy skimage tkinter
Last synced: 09 Apr 2026
https://github.com/suthar345piyush/churn-prediction-project
Churn Prediction Model ( using ANN )
artificial-neural-networks matplotlib numpy pandas-dataframe python seaborn sklearn tensorflow
Last synced: 09 Apr 2026
https://github.com/thavinduushan/linear-regression
A linear regression model to predict premium price of an insurance. The dataset includes around 1,000 observations. The project, aimed at learning, was implemented in Jupyter notebooks using NumPy, Matplotlib, Pandas, Keras, and TensorFlow.
matplotlib numpy pandas python tensorflow
Last synced: 09 Apr 2026
https://github.com/chubi-x/sort-it-image-classifier
Sort-it is an image classification application that classifies images of cats, dogs, bicycles, cars, and motorcycles.
image-classification machine-learning numpy pandas python streamlit tensorflow
Last synced: 05 Apr 2026
https://github.com/bishopce16/movies-etl
The goal of this project was to create an automated pipeline for a company Amazing Prime that is hosting a hackathon.
json numpy pandas pgadmin4 psycopg2 python regular-expressions sql sqlalchemy time
Last synced: 11 Apr 2026
https://github.com/urvee1810/bitcoin-price-forecasting-using-arma
The analysis reveals the challenges of predicting Bitcoin prices during highly volatile periods and demonstrates how traditional time series models perform under different market conditions. The project includes comparative analysis of model performance during stable and volatile market phases.
arima arma augmented-dickey-fuller-test feature-engineering machine-learning matplotlib mplfina numpy pandas python random-forest randomforestregressor scikit-learn seaborn statsmodels time-series-analysis
Last synced: 06 Mar 2026
https://github.com/memgonzales/order-brushing-shopee2020
Solution to the Week 1 Contest (Student Category) of the 2020 Shopee Code League on order brushing detection
data-analytics e-commerce fraud-detection jupyter-notebook numpy order-brushing pandas python rule-based
Last synced: 11 Apr 2026
https://github.com/omarnahhass/crypto-cast
CryptoCast is a machine learning-powered tool that showcases three fundamental prediction models for forecasting cryptocurrency prices
cryptocurrency machine-learning numpy pandas python
Last synced: 05 May 2026
https://github.com/pramodyasahan/custom-image-classification-model
This repository hosts a TensorFlow-based custom image classification model. The model is designed to classify images into binary classes, labeled as 'Happy' and 'Sad'.
computer-vision convolutional-neural-networks cv2 keras matplotlib numpy tensorflow
Last synced: 11 Apr 2026
https://github.com/quickheaven/python-for-data-science-and-machine-learning-bootcamp
Python for Data Science and Machine Learning Bootcamp
data-science linear-regression logistic-regression machine-learning matplotlib numpy pandas python seaborn
Last synced: 10 Apr 2026
https://github.com/elmezianech/email-spam-ham-classifier-lr
Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.
ai emails jupyter-notebook logistic-regression machine-learning ml numpy pandas python spam-detection spam-filtering tfidfvectorizer
Last synced: 09 Apr 2026
https://github.com/sagravela/plotground
Plotting Tool with Matplotlib and Tkinter. Video Demo:
matplotlib numpy python tkinter
Last synced: 19 May 2026
https://github.com/poziloi/-math-
Системы компьютерной математики, задания
jupyter-notebook math matplotlib numpy pandas python scipy seaborn
Last synced: 30 Dec 2025
https://github.com/dhanas3kar/python-libraries
Practice codes using Python libraries like NumPy, SciPy, Matplotlib, Pandas, and others. Covers basics, examples, and simple exercises for learning data handling, numerical computing, and visualization.
coding-excersise data-analytics-project data-v matplotlib numpy pandas practice python python-libraries scipy
Last synced: 09 Apr 2026
https://github.com/martinkersner/kmeans-meetup
Presentation about k-Means for Seoul AI Meetup on July 22, 2017.
kmeans numpy python scikit-learn
Last synced: 03 May 2026
https://github.com/adirbella37/safety-analytics-project
Final project in Safety Management: analytics and predictive modeling for occupational incidents. Includes EDA, logistic regression, Poisson/Negative Binomial with overdispersion checks, ROC/AUC, and prediction exercises.
classification data-visualization drunk-and-drive eda logistic-regression matplotlib negative-binomial numpy occupational-safety overdispersion pandas poisson-regression python road-safety roc-auc scikit-learn seaborn statmodels
Last synced: 09 Apr 2026
https://github.com/chandkund/recipe-recommendations
The Recipe Recommendations project leverages natural language processing (NLP) techniques to process recipe descriptions and classify them into categories like desserts, main courses, and more. The system provides personalized recommendations by analyzing the text input and suggesting relevant recipes.
embeddings matplotlib nlp numpy pandas softmax tensorflow
Last synced: 06 Apr 2026
https://github.com/sandyg6/breast-cancer-classification
Building a Breast cancer classification model using Random Forest Classifier and deploying it to a web application using Flask framework
flask html-css-javascript numpy pandas python random-forest-classifier
Last synced: 05 Apr 2026
https://github.com/andreazoccatelli/knn_fromscratch
knn implementation in numpy
classification knn-classifier machine-learning numpy
Last synced: 19 May 2026
https://github.com/pradeep-r04/attendiq
AttendIQ is a Face Recognition Attendance System designed to automate and streamline the attendance process with precision and ease. By leveraging real-time face detection and recognition technology, AttendIQ eliminates the need for manual roll calls or ID-based check-ins. The system captures facial data during a quick registration process .
csv cv2 kneighborsclassifier numpy os pandas pickle python scikit-learn streamlit time
Last synced: 02 Apr 2026
https://github.com/ahmedabdalkreem/preprocessing
All you need to be dataset ready to work in model without any Noise.
Last synced: 07 Apr 2026
https://github.com/ashishsingh789/customer_purchase_prediction_using_decision-tree-_classifier
Decision Tree Classifier to predict customer purchases using demographic and behavioral data. Key steps: data preprocessing, EDA, model training, evaluation, and feature importance analysis.
data datascience desiciontree eda machine-learning-algorithms matplotlib numpy pandas-dataframe python seaborn
Last synced: 11 Apr 2026
https://github.com/abideen-olawuwo/loan
A loan prediction modes
adaboostclassifier catboost-classifier gaussian knearest-neighbor-algorithm linear-svc logistic-regression matplotlib naive-bayes-classifier numpy pandas sklearn xgboost
Last synced: 10 Apr 2026
https://github.com/nas-research/knowledge-model
Our knowledge system systematically ingests, processes, and indexes open-access life science publications. It supports internal research by providing precise question-answering and efficient retrieval from a continuously updated repository of scientific literature
accelerate aws boto3 dataingestion keras lifesciences llama llama3 llm numpy pymupdf pytorch researchsupport sqlalchemy tensorflow textextraction
Last synced: 10 Apr 2026
https://github.com/shibbir24/water-potability-prediction-using-hybrid-machine-learning-techniques
Water Potability Prediction Using Hybrid Machine Learning Techniques
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/hariprasath-v/machinehack-odetocode_predicting_weather_using_alien_fruit_properties
Identify the type of climate the exoplanet has based on the properties of the fruit by using machine learning.
catboost machine-learning matplotlib numpy pandas seaborn shap sklearn
Last synced: 11 Apr 2026
https://github.com/ashwathdazur/understanding-ds-using-python
Python NumPy, Pandas, Matplotlib and Seaborn for Data Analysis, Data Science and ML. Pre-machine learning Analysis.
data-science dataanalysis matplotlib numpy panda python3
Last synced: 19 May 2026
https://github.com/abhijeet107/household-transactions-analysis-report
This project analyzes household financial transactions spanning from 2015 to 2018, focusing on income, expenses, net savings, and spending patterns across categories and modes of payment.
matplotlib numpy pandas powerbi python seborn
Last synced: 11 Apr 2026
https://github.com/dulajkavinda/handwritten-recognition
🛢Handwritten Digit Recognition using OpenCV
added machinelearning numpy opencv python
Last synced: 09 Apr 2026
