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/alwaysvivek/next-word-prediction
🔮 Predicts the next word in a text sequence using either an N-gram statistical model or an LSTM-based neural network.
argparse laplace-smoothing machine-learning neural-network ngrams nlp nltk numpy python3 tensorflow
Last synced: 12 Apr 2026
https://github.com/amruta33/customer-support-on-twitter
The Customer Support on Twitter dataset is a large, modern corpus of tweets and replies to aid innovation in natural language understanding and conversational models, and for study of modern customer support practices and impact.
nlp numpy pandas python regex sklearn
Last synced: 12 Apr 2026
https://github.com/elhanarinc/deeplearning
Ceng 783 Deep Learning Assignments
ipython-notebook jupyter-notebook numpy python2
Last synced: 06 May 2026
https://github.com/alwaysvivek/evolving-ai-biosphere
A self-evolving AI biosphere leveraging LSTM/REINFORCE for adaptation.
ai artificial-intelligence biology deep-learning devops evolutionary-algorithms machine-learning mlflow mlops numpy python3 pytorch reinforcement-learning simulation torch
Last synced: 12 Apr 2026
https://github.com/kr1shnasomani/DeepDetect
Traffic light, vehicle and human detection from aerial images using YOLOv8 model and Computer Vision
computer-vision deep-learning neural-network numpy opencv yolov8
Last synced: 03 Sep 2025
https://github.com/tebogoyungmercykay/mathematical_modelling_in_python
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
clock counter differential-equations equations-and-plotting growth-factor is-sorted lamda-expressions linearization logistic-difference-equations mathplotlib numpy pell-recursive polyfit python recursion rieman-sums sympy
Last synced: 14 Mar 2025
https://github.com/shahsuvarli/election-voters-data-analysis-pandas
Educational project analyzing Azerbaijan voter demographics with pandas, focusing on data cleaning, grouping, and visualization.
cleaning data grouping matplotlib numpy pandas python visualization
Last synced: 12 Apr 2026
https://github.com/f-ssemwanga/dab-dataanalysis
DAB Radio Data Analysis Application
matplotlib numpy oop-principles pandas-dataframe postgresql psycopg2 python-3 regex-pattern seaborn threading tkinter-gui
Last synced: 12 Apr 2026
https://github.com/abdulloyev/datascientis-opensource
big-data linear-regression numpy pandas polinomial-regression python-3
Last synced: 12 Apr 2026
https://github.com/mark1708/neurointerfaces-of-information-systems
Laboratory work on the discipline "Neurointerfaces of information systems"
numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/mariam-zaidi/credit_risk_analytics
Performing Exploratory Data analysis for loan application approvals and understanding Risk analytics
exploratory-data-analysis matplotlib numpy pandas risk-analytics seaborn
Last synced: 06 May 2026
https://github.com/nazwright/daria
Real-time fraud detection architecture powered by AWS Kinesis, KaggleHub, and SMOTE-augmented data — the foundation of DARIA, the Detection And Risk-Intelligence Agent.
aws evm fraud fraud-detection-using-machine-learning kaggle kinesis machine-learning math numpy pandas python random web3
Last synced: 12 Apr 2026
https://github.com/manuelfay/numpydeeplearning
Deep Learning Framework built entirely using numpy
deep-learning deep-learning-framework minigrad numpy pytorch
Last synced: 06 May 2026
https://github.com/nisch-mhrzn/book-recommender-system
A Flask-based application that suggests books tailored to user preferences, leveraging collaborative filtering and a curated dataset.
Last synced: 12 Apr 2026
https://github.com/urvee1810/eda-time-series
A comprehensive time series analysis of French retail quarterly sales data from 2012 to 2017. The project focuses on analyzing sales patterns, seasonal decomposition, and trend analysis using various statistical techniques and visualizations.
arima-modeling data-visualization exploratory-data-analysis matplotlib numpy pandas pmdarima python scikit-learn seaborn statsmodels time-series-analysis trend-analysis
Last synced: 12 Apr 2026
https://github.com/manojkp08/student-performance-analysis
The Student Performance Analyzer is your go-to solution for understanding and improving student performance. By blending the power of machine learning with interactive visualizations, this tool provides educators and learners with personalized insights into learning styles, performance gaps, and actionable improvements.
machine-learning numpy pandas python requests scikit-learn streamlit
Last synced: 12 Apr 2026
https://github.com/jvictor011/analise_de_precos_de_materias-primas_agricolas
Este projeto concentra-se na análise dos dados de preços de várias matérias-primas agrícolas ao longo do tempo. O conjunto de dados usado para esta análise é chamado de agricultural_raw_material.csv.
matplotlib numpy pandas python seaborn
Last synced: 07 May 2025
https://github.com/shibam120302/indian_sign_language_translator
This repository consists of the code utilized for creation of an Indian Sign Language Translator satisfying the following criteria : Near-Real-Time Application Achieve background independence Attain Illumination independence
imageai keras numpy opencv pillow tensorflow
Last synced: 12 Apr 2026
https://github.com/mzayles/iris-seaborn_visualizacao-dados
💻📊✅ Curso de Programação em Python para Data Science | Gráficos utilizando a base de vendas da Seaborn e a biblioteca Matplotlib.
matplotlib numpy pandas python seaborn
Last synced: 24 Mar 2025
https://github.com/mzayles/report_consolidado_analise-descritiva
💻📊✅ Curso de Programação em Python para Data Science | Mensuramento de dados com Matplotlib.
matplotlib numpy pandas python
Last synced: 24 Mar 2025
https://github.com/mzayles/base_vendas_analise-exploratoria
💻📊✅ Curso de Programação em Python para Data Science | Identificando e analisando problemas.
Last synced: 24 Mar 2025
https://github.com/jvictor011/big-five-personality-test
Usando machine learning para fazer o agrupamento de um sistema de traço de personalidade
matplotlib numpy os pandas python seaborn
Last synced: 07 May 2025
https://github.com/vikpires/ds_tips-dataset
Projeto individual do bootcamp de ciência de dados avanti 2024.2, com o objetivo de analisar e observar padrões no conjunto de dados "Tips".
data-analysis data-science data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn tips
Last synced: 17 Sep 2025
https://github.com/sujalk777/signal_systems_lab
This repository contains the assignments for the Signal Systems Laboratory course offered at IIT Jammu Autumn 24
jupyter-notebook librosa linux matplotlib numpy python raspberry-pi
Last synced: 12 Apr 2026
https://github.com/shreeparab1890/chat-analyzer
This project is a Data Analysis project to analyze the WhatsApp chats.
data-analysis numpy pandas python
Last synced: 12 Apr 2026
https://github.com/ifrazaib/pythoncodes
In this repository I have Added my handwritten python codes to master the language and includes all the basic concepts of python.
classes inheritance lists numpy pandas scipy tupels
Last synced: 06 Jan 2026
https://github.com/shandilya1998/neurorobotics
Python tools for robotics, deep reinforcement learning and neuroscience research.
computational-neuroscience mujoco mujoco-py numpy openai-gym pytorch reinforcement-learning robotics
Last synced: 12 Apr 2026
https://github.com/raoulnormand/easygrader
A library to easily calculate course grades.
gradebook gradescope numpy pandas teaching-tool
Last synced: 10 Mar 2025
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: 30 Sep 2025
https://github.com/abideen-olawuwo/converted-web-app
Deploying model with Flask
flask jsonify matplotlib numpy pandas pickle python requests
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https://github.com/hediyeorhan/styletransfer
artificial-intelligence deep-learning numpy python tensorflow
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https://github.com/sofiaalmaz/fanfictionproject
Анализ фанфиков по Гарри Поттеру с целью написания самого популярного фанфика
analysis fanfics fanfiction harry-potter jypyternotebook matplotlib ml networkx numpy pandas python scipy seaborn streamlit wordcloud
Last synced: 06 Jan 2026
https://github.com/ailsonguedes/iris-flower-ml-project
Machine learning model using logistic regression to classify the Iris-Flower of dataset.
classification data-science dataset ia iris-classification iris-dataset jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn
Last synced: 12 Apr 2026
https://github.com/varuntotakura/face-recognition
My own code for Face Recognition using Python
face-recognition numpy opencv python tensorflow
Last synced: 09 Apr 2026
https://github.com/tugot17/linear-regression-from-scratch
Linear Regression concepts and intuitions presented using Jupyter Notebooks
from-scratch linear-regression numpy python
Last synced: 11 Jul 2025
https://github.com/alphan26/humidityregressor
This project involves developing a model to predict relative humidity using PyTorch. The model was trained on a dataset containing monthly data, with the goal of forecasting the relative humidity for the subsequent month.
matplotlib numpy pandas python pytorch
Last synced: 11 Apr 2026
https://github.com/jeslipriya/emotion-detection
This project is an enhanced real-time facial emotion detection system that uses deep learning (OpenCV + mini-XCEPTION) to accurately recognize human emotions through a webcam or image input. It features advanced preprocessing, temporal smoothing, and a clean visual interface for smooth and stable emotion analysis.
7-emotions deep-learning emotion-detection fer2013 numpy opencv opencv-python python tensorflow
Last synced: 03 Jul 2025
https://github.com/c-mohammed-zaid/python
A diverse collection of Python projects showcasing skills in game development, data manipulation, and utility tools, including classic games, encryption, and data analysis.
jupyter-notebook matplotlib numpy pandas python scipy turtle
Last synced: 06 Jan 2026
https://github.com/darkusphantom/newton-method
7 ejercicios practicos del método de Newton en la programación computacional
computational-maths numpy python
Last synced: 25 Mar 2025
https://github.com/theoldvalyria/python_projects
Проекты, направленные на анализ данных Python и АБ-тестирование.
ab-testing matplotlib metrics numpy pandas python scipy seaborn visualisation
Last synced: 06 Jan 2026
https://github.com/chmohit91/Introduction-to-Python
A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners
matplotlib numpy pandas plotly python python-library python3 seaborn
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https://github.com/kareem74x/data-mining-uni-project
A project focused on applying data mining techniques to extract insights from datasets
data-mining matplotlib numpy pandas python
Last synced: 25 Feb 2026
https://github.com/akashash01/navie_bayes
It's an simple probabilistic classifiers based on applying Bayes theorem with strong independence assumptions between the features. Highly effective for text sequence oriented data(independent variables).
data-science machine-learning numpy pandas python sklearn supervised-learning
Last synced: 09 Apr 2026
https://github.com/sayan520/titanic-data-insights
Conducting data analysis on Kaggle's Titanic: Machine Learning from Disaster dataset using essential data wrangling, exploratory data analysis (EDA), and visualization techniques to uncover insights, identify patterns, and explore factors influencing passenger survival.
jupyter-notebook kaggle matplotlib numpy pandas python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/urvee1810/market_basket_analysis
A data mining project analyzing Instacart's 3 million grocery orders to uncover customer shopping patterns and product associations. Using market basket analysis and the Apriori algorithm, the project reveals key insights about shopping behavior, product combinations, and temporal patterns, providing valuable recommendations for retail strategy
apriori-algorithm data-mining data-visualization machine-learning market-basket-analysis matplotlib mlxtend numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/rohitinu6/image_cartoonify
To Cartoonify an Image using opencv-python
image-processing matplotlib numpy opencv opencv-python python
Last synced: 12 Apr 2026
https://github.com/arrmansa/leetcode-nice-solutions
Some solutions for leetcode problems that I found fun - either the algorithm or using numpy bruteforce where it shouldn't be
leetcode leetcode-python leetcode-python3 leetcode-solutions numpy python python3
Last synced: 16 Mar 2025
https://github.com/techcsispit/algorithmic-trading
This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.
matplotlib numpy pandas python sklearn
Last synced: 04 Sep 2025
https://github.com/aneeshmurali-n/python-tasks
Here we are going to learn data science and python by doing tasks by task
data-science data-visualization exploratory-data-analysis filter lambda lambda-functions map-reduce matplotlib numpy oops-in-python pandas python python-fundamentals regex regular-expression
Last synced: 12 Apr 2026
https://github.com/shreenidhi7700/skimlit-project
Natural Language Processing Project -SKIMLIT
google-colab lstm-neural-networks numpy pandas python3 rnn-tensorflow tensorflow
Last synced: 09 Apr 2026
https://github.com/sumitkundu102022/ecobuddy
EcoBuddy: Personalized Carbon Footprint Tracker
bcrypt numpy pandas plotly pymongo python-dotenv requests streamlit
Last synced: 12 Apr 2026
https://github.com/rishabhmathur06/data_analysis-netflix
data data-analytics data-science matplotlib-pyplot numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/parth-jatav/super-store-analysis-project
The Super Store Analysis project leverages Python libraries such as pandas, matplotlib, and numpy to perform a comprehensive analysis of a retail store's data. This project includes data cleaning, visualization, and statistical analysis to identify key trends, optimize inventory, enhance decision-making processes for improved business performance.
data-analysis matplotlib numpy pandas python super-store
Last synced: 12 Apr 2026
https://github.com/mahmoudnamnam/superstore-analysis
This project explores the SuperStore dataset to uncover insights into sales, profit, and customer behavior. It identifies key trends, regional variations, and product performance, using data analysis and machine learning techniques to guide business strategy and optimize performance.
clustering data-analysis data-science data-visualization geopandas jupyter-notebook machine-learning numpy pandas plotly regression seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/gyselle-marques/reconhecimentofacial-desafiodio
Machine Learning: Sistema de Reconhecimento Facial criado com OpenCV e YOLO11.
colab-notebook dataset dio-bootcamp face-detection face-recognition image-classification machine-learning numpy object-detection opencv opencv-python portuguese-brazilian python transfer-learning yolo yolov11
Last synced: 12 Apr 2026
https://github.com/amira921/eda-and-visualization-netflix-movies-and-tv-shows
EDA for Netflix Movies and TV Shows
datacleaning datamanipulation datapreprocessing datavisualization exploratory-data-analysis insights matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/afnanenayet/kaggle-titanic
The classic Kaggle Titanic data science challenge
backprop backpropagation classification classifier data forest kaggle layer learn mlp multi numpy pandas perceptron random science scikit sklearn titanic
Last synced: 12 Apr 2026
https://github.com/mnitin-reddy/summer-olympics-data-analysis-web-app
An interactive web app for exploring trends in Olympic Games history, analyzing overall medal tallies, country-wise performance, and athlete demographics. Built with Python and Streamlit, this app offers insights through visualizations and data-driven statistics.
dataanalytics matplotlib numpy pandas python seaborn streamlit
Last synced: 12 Apr 2026
https://github.com/gregoritsch3/project_radioactive_decay
An analytic ( system of coupled ODEs), numeric (Runge-Kutta 4, Newton-Raphson) and stochastic (Monte Carlo) treatment of the chained radioactive decay of Bi[210, 83] into Po[210,84], as well as the emission of alpha-particles. Associated comments and paper are in Croatian.
cplusplus matplotlib montecarlo-simulation numerical-methods numpy python radioactive-decay scipy
Last synced: 12 Apr 2026
https://github.com/jpcano/boston_housing
Predicting Boston Housing Prices using supervised Machine Learning algorithms
cross-validation machine-learning numpy pandas python regression-models scikit-learn
Last synced: 12 Apr 2026
https://github.com/emhash/machine-learning-and-ai
Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.
ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow
Last synced: 05 Jan 2026
https://github.com/armahdavi/mlops
Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.
apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost
Last synced: 12 Apr 2026
https://github.com/filip-kustura/python-covid-19-behaviors-analysis
Using Jupyter Notebook, this university project analyzes attitudes and behaviors related to the COVID-19 pandemic using a two-year survey from Imperial College London and YouGov research company. Utilizing Pandas, NumPy and Matplotlib, the data analysis focuses on three countries, exploring trends and insights throughout the pandemic.
covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas python university-project
Last synced: 12 Apr 2026
https://github.com/nadahamdy217/movies-data-etl-using-python-gcp
Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.
analytics data data-engineering data-ingestion data-preparation data-preprocessing data-processing data-project docker etl etl-pipeline gcp matplotlib matplotlib-pyplot numpy pandas pubsub python scipy seaborn
Last synced: 06 Jan 2026
https://github.com/lijesh010/employeeanalysis-
This is a simple data analysis project developed as part of my Entri Elevate Data Science and Machine Learning course. It serves as a practical demonstration of my skills in data analysis.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/fabricioarendtorres/streamauc
Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..
classification-model machine-learning metrics numpy precision-recall-curve receiver-operating-characteristic
Last synced: 06 Jan 2026
https://github.com/lorenzorottigni/ml-random
Machine Learning course of Piero Savastano 7: matplotlib, accuracy_score, precision_score, recall_score, f1_score, classification_report
machine-learning matplotlib metrics numpy
Last synced: 04 May 2026
https://github.com/mpoojithavigneswari/bangalore-house-price-prediction
This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.
data-analysis data-science flask-server machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/alisonmitchell/countries-of-the-world
Exploratory Data Analysis of US Government data from the World Factbook to investigate GDP ($ per capita), Literacy (%) and Phones (per 1000).
data-science machine-learning matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/bhushan148/ipl-stats-analysis
This project explores IPL data to show team and player performances. 📈 Key highlights include analyzing match results, highest scores, and performance at different venues. 🏟️ It uses charts to reveal trends like win margins and average scores by venue. 📉 Discover important insights into what affects match outcomes and team success.
jupyter-notebook markdown matplotlib-pyplot numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/constraintautomaton/client_pgu1
The client part of the PgU1 project it. It command the robot and do the video processing
numpy opencv paramiko pyqt5 python3 raspberry-pi-3
Last synced: 12 Apr 2026
https://github.com/aleksandarbuk/machine-learning
The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.
matplotlib numpy python scikit-learn tensorflow
Last synced: 16 Apr 2026
https://github.com/akashkg03/facial-expression-image-classification
This notebook involves to build a facial expression image classifier which categorizes facial expressions into one of seven emotions: anger, disgust, fear, happiness, sadness, surprise, and neutral.
jupiter-notebook numpy pandas python
Last synced: 28 Apr 2026
https://github.com/armahdavi/data_pipeline_analytics_statistics_ml_pm_psd_residential_qff
Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782
data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics
Last synced: 11 Apr 2026
https://github.com/knightkun77/image_classification_project
Image Classification Using Python
keras machine-learning matplotlib numpy opencv python tensorflow tikinter
Last synced: 24 Jan 2026
https://github.com/src3453/fluentscope
An oscilloscope that makes listening waveform more fun
audio-visualizer correlation mic-audio numpy oscilloscope pyaudio pygame pygame-application python python3 realtime trigger
Last synced: 30 Apr 2026
https://github.com/vasulab/knightshock
Shock tube experiment planning and data analysis package.
cantera data-analysis matplotlib numpy shock-tube
Last synced: 18 Jul 2025
https://github.com/hariprasath-v/av-job-a-thon-november-2022
Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.
exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting
Last synced: 12 Apr 2026
https://github.com/aaaastark/life_expectancy_predication
Life_Expectancy_Predication
dataframe machine-learning matplotlib numpy pandas python sklearn tensorflow
Last synced: 12 Apr 2026
https://github.com/prarthana-singh/potato-disease-classification-using-deep-learning
🌱 Potato Disease Classification using Deep Learning – A deep learning-based model to detect and classify potato plant diseases using image processing and CNNs. Built with TensorFlow/Keras & Python.
agriculture cnn deep-learning image-classification keras machine-learning neural-network numpy pandas plant-disease-detection python3 streaming tensorflow
Last synced: 12 Apr 2026
https://github.com/Sadegh-Khedry/Pneumonia-Detection-Using-CNN
Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).
cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow
Last synced: 12 Apr 2026
https://github.com/yahiazakaria445/image-classification-using-vgg-16
computer vision model for 10 classes classification
matplotlib numpy opencv pandas sklearn tensorflow
Last synced: 12 Apr 2026
https://github.com/programmersteve/price_regression_ml
jupyter machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/otuemre/housepricingml
A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.
eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression
Last synced: 13 Apr 2026
https://github.com/shohail-dev/ai-medical-model
keras matplotlib numpy pandas pyplot scipy sklearn-metrics tensorflow
Last synced: 07 Jan 2026
https://github.com/reckonsys/datascience-docker
A docker image with numpy, scipy, nltk and pandas pre-installed with pip
docker docker-image dockerfile nltk numpy pandas scipy
Last synced: 10 Mar 2025
https://github.com/manikantasanjay/data_analysis_using_python_libraries_series
This Series contains Data Analysis projects performed on different Kaggle datasets and providing valuable insights into the data by making use of Python libraries.
exploratory-data-analysis kaggle-datasets machine-learning matplotlib numpy opendatasets pandas python visualization
Last synced: 12 Apr 2026
https://github.com/the-developer-306/fake-review-detector
This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.
classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis
Last synced: 12 Apr 2026
https://github.com/skywalkerSam/Python-101
Introduction to Python 3
bootcamp django flask jupyter-notebook matplotlib ml numpy pandas python-bootcamp python-development python-scripting python3 web-scraping
Last synced: 23 Apr 2025
https://github.com/chandkund/sentiment-analysis-using-nlp
This project focuses on Sentiment Analysis using the textual content from product reviews. The goal is to analyze user sentiments based on their written feedback, particularly focusing on the "reviewText" column in the dataset.
lemmatization matplotlib nlp nltk numpy pandas seaborn tokenization
Last synced: 31 Jan 2026
https://github.com/soumyapro/heart-disease-prediction
This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.
logistic-regression numpy pandas simpleimputer sklearn
Last synced: 21 Jan 2026
https://github.com/abideen-olawuwo/house-prediction
A house prediction model
matplotlib numpy pandas seaborn sklearn
Last synced: 12 Apr 2026