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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/aneeshmurali-n/project-ml-data-preprocessing
The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.
data-analysis data-cleaning data-encoding data-exploration feature-scaling label-encoding matplotlib minmaxscaler numpy one-hot-encoding outlier-detection pandas standardscaler
Last synced: 02 May 2026
https://github.com/semihbugrasezer/rockvsmine
Rock vs Mine Prediction with Python | Machine Learning Project
Last synced: 05 May 2026
https://github.com/babagata/racunalna_fizika
Math and physics solved with python
matplotlib numpy random scipy sympy
Last synced: 10 Apr 2026
https://github.com/badranalyst/titanic-survival-prediction-full-data-science-project-classification
This project predicts Titanic survivors using classification models. It includes data cleaning, pre-processing, exploratory data analysis (EDA), categorical feature conversion, model building, and evaluation. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used to analyze and predict survival outcomes.
classification data-analysis data-science eda exploratory-data-analysis machine-learning matplo matplotlib-pyplot ml model numpy pandas predictive-modeling python seaborn
Last synced: 06 May 2026
https://github.com/elon-fask/nlp_num1
Natural Language Processing with Disaster Tweets
ai machine-learning nlp nlp-machine-learning numpy pandas python text-processing
Last synced: 10 Apr 2026
https://github.com/azaz9026/data_cleaning
Welcome to the Data Cleaning repository! This collection is dedicated to showcasing techniques and methods for cleaning and preparing datasets for analysis.
data-analysis data-engineering data-structures data-visualization eda feature-engineering machine-learning numpy outliers pandas python seaborn
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https://github.com/fedesgh/parkinson_volatility_spread_on_cedears
Creating a function that returns a graph with the difference between Parkinson's volatility and regular volatility given a certain bounds
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https://github.com/asghar-rizvi/youtube-statistics-project
This project analyzes a dataset of global YouTube statistics to uncover insights about YouTube channels, their ranks, and other attributes. The dataset used for this analysis was obtained from Kaggle.
data-analysis data-analysis-python data-science data-science-projects matplotlib numpy pandas pycharm-ide python seaborn
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https://github.com/solaris0051/simplenn
simple neural network. The comments accompanied with codes are written in English.
anaconda3 colab-notebook conda conda-env conda-packages jupyterlab latex machine-learning markdown matplotlib neural-network numpy object-oriented online-learning python3
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https://github.com/shakebshamsi/youtube-scraping-using-api
Youtube Scraping
jupyter-notebook numpy pandas python seaborn
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https://github.com/crvargasm/moore-penrose-matrix
A small implementation of an algorithm that is capable of computing the Moore-Penrose inverse of any matrix.
numerical-methods numpy python
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https://github.com/omarsaad21/rfm-clustering-
A full Data science and deployment project focusing on Data analysis and ML ( create a customer segmentation model to recommend the best merchants for each user as targetted offers)
business-solutions data-science eda numpy pandas plotly python sickit-learn streamlit
Last synced: 11 Apr 2026
https://github.com/mnitin-reddy/collaborative-filtering-based-recommendation-system
This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.
collaborative-filtering numpy pandas popularity-based-recommendation python recommendation-system scikit-learn
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https://github.com/germanocastanho/python-notes
Personal collection of Python Notes, tips, and code snippets 🐍
data-science numpy pandas programming python
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https://github.com/rkarahul/face-detection-using-opencv-
•Build a face detection project using OpenCV and haar cascades, which are the better choice for real-time detection.
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https://github.com/djdhairya/crop-recommendation
Crop Recommendation System is a powerful tool for enhancing agricultural decision-making. By leveraging data-driven insights, it empowers farmers to maximize yield and ensure sustainable practices.
adaboostclassifier bagging-classifier csv decision-trees gaussian html knn-classification logistic-regression machine-learning machine-learning-algorithms matplotlib model numpy pandas random-forest random-forest-classifier scikit-learn seaborn svc
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https://github.com/dmarks84/coursework_project_apache-airflow-kafka-on-toll-booth-data
Project for IBM Data Engineering & Python course on ETL & Big Data -- Read in live toll booth data, wrangles and transformed, and wrote into a SQL database
apache-airflow apache-kafka automation dags data-modeling databases eda elt etl mysql numpy pandas pipelines python sql
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https://github.com/djdhairya/breast-cancer-prediction
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https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure
A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.
eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn
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https://github.com/andremenezesds/rossmann_sales_predict
Sales Prediction for Rossmann Pharmaceutics database using Machine Learning regression modeling
boruta cross-validation data-exploration data-science database flask-application git linux linux-shell machine-learning matplotlib numpy pandas python scipy sklearn xgboost-regression
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https://github.com/oleksiilatypov/dru_data_science_fundamentals
DataRootUniversity, TensorFlow, Coursera, Kaggle
data-science kaggle machine-learning neural-network numpy pandas sklearn-library tensorflow
Last synced: 11 Apr 2026
https://github.com/arthurdsant/dataanalysis-agricultural_raw_material
This Python project performs analysis and visualization of agricultural raw material price data using a Kaggle dataset. Based on Jupiter Notebook and Python.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 26 Jan 2026
https://github.com/rahatmoktadir03/customer-churn-prediction
A machine learning project for predicting customer churn, enabling businesses to identify at-risk customers and develop retention strategies.
business-analytics customer-churn-prediction data-science google-colab machine-learning numpy pandas python sklearn strreamlit xception-model
Last synced: 11 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/badranalyst/student-tests-data-analysis-application
Python-based analysis of student test scores in math, reading, and writing, examining correlations with parental education, lunch type, and test preparation. Includes data cleaning, visualization, and statistical insights into factors influencing academic performance.
data-analysis data-visualization dataset matplotlib numpy pandas python sklearn
Last synced: 05 May 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
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https://github.com/allanreda/telco-customer-churn-predictor-app
A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.
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https://github.com/matbesancon/kaggle-digit-recognizer
Some tests with the Kaggle Digit Recognition challenge
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https://github.com/bhawnamehbubani/advanced-zomato-restaurant-clustering-and-sentiment-analysis
This project leverages this data to perform clustering and sentiment analysis, providing actionable insights for customers and business growth.
matplotlib-pyplot nltk numpy pandas seaborn sklearn wordcloud
Last synced: 05 May 2026
https://github.com/andersoncrs/prediccion_precio_vehiculos_statsmodels
Este proyecto utiliza un modelo de regresión lineal para predecir el precio de vehículos basándose en sus características principales. El análisis incluye la definición del problema, exploración y limpieza de datos, conversión de variables categóricas a numéricas, evaluación de correlaciones y entrenamiento del modelo.
analisis-de-datos analisis-exploratorio-de-datos matplotlib numpy seaborn statsmodels visualizacion-de-datos
Last synced: 26 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
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https://github.com/lijesh010/ml_project_data_preprocessing
The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.
data-cleaning data-exploration data-preprocessing machine-learning numpy pandas-python python scikit-learn
Last synced: 11 Apr 2026
https://github.com/athari22/mean-normalization
Mean Normalization
jupyter-notebook mean normalization numerical-analysis numpy numpy-exercises python python3
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https://github.com/project54321/stocksniper
"An interactive Stock Dashboard that visualizes historical prices, calculates key financial metrics, displays fundamental statements, and aggregates the latest news for any ticker — all in a sleek, easy-to-use Streamlit interface."
alphavantage finance numpy pandas plotly pypi python stock-market stocknews streamlit
Last synced: 11 Apr 2026
https://github.com/djdurga/google_play_store_apps_analysis
This data analysis project focuses on exploring and understanding the Google Play Store Apps dataset.
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https://github.com/isabelacaldeira/chutelibre
Crashing into code. Here is a physics problem about free fall solved with python!
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https://github.com/krishbharadwaj5678/virtualmouse
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https://github.com/rggh/satchad
findthatbit.com + findthatbit.info
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https://github.com/binakot/python3-course
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https://github.com/anubagre/predicting-price-of-pre-owned-cars
This project is solution to data science problem based on regression model to predict the price of pre owned cars. Programming language used is Python.
data-science machine-learning numpy pandas price-prediction python seaborn sklearn streamlit
Last synced: 11 Apr 2026
https://github.com/mramshaw/intro-to-ml
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https://github.com/ikbalcaus/HandSketch
Drawing on Canvas with Hand Gestures + AI for Letter Recognition
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https://github.com/sudarshanasrao/ee559-machine_learning-usc
USC graduate level Machine Learning course
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https://github.com/dmarks84/ind_project_obesity-multi-class-classification--kaggle
Independent Project - Kaggle Competition -- I worked on the obesity classification data set as part of a Kaggle Competition of the same name, scoring (for accuracy) above 0.9
classification correlation-analysis cross-validation data-modeling data-visualization dataframes eda gridsearchcv matplotlib multiclass-classification numpy pandas python seaborn sklearn statistics supervised-ml
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https://github.com/nikita-data/sql_projects
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database numpy pandas postgresql python sql sql-query sqlalchemy sqlite sqlite-database sqlite3
Last synced: 11 Apr 2026
https://github.com/ebadshabbir/decision_tree_algorithm
Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling, model evaluation (confusion matrix and accuracy), and visualizations of decision boundaries for both training and test sets.
decision-tree-classifier jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
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https://github.com/jorisbertier/learnpython
Project for learn Python
beautifulsoup4 matplotlib numpy pandas python seaborn
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https://github.com/harmanveer2546/campus-recruitment-prediction
Student Campus-Placement Prediction ML Project using Python
decision-trees machine-learning matplotlib numpy pandas python random-forest scipy seaborn
Last synced: 11 Apr 2026
https://github.com/akhileshthite/india-population
ML (simple linear regression) model for predicting India's population.
machine-learning numpy pandas python scikit-learn
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https://github.com/biasandrade/rede-neural-do-zero-classificacao-binaria
🧠 Rede Neural Artificial construída do ZERO (só NumPy) para detectar fraudes em transações | Forward/Backward Propagation | Sigmoid | Gradiente Descendente
backpropagation binary-classification deep-learning fraud-detection from-scratch gradient-descent machine-learning neural-network numpy python
Last synced: 18 Nov 2025
https://github.com/chokzb/covid19_vaccination_analysis
An EDA project examining global COVID-19 vaccination progress. The notebook investigates vaccination trends by country, daily vaccination rates, timeline patterns, and dose distribution. The project includes visualisations created with Matplotlib, Seaborn, and Plotly.
covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas plotly python seaborn vaccination
Last synced: 07 May 2026
https://github.com/stdlib-js/blas-ext-linspace
Return a new ndarray filled with linearly spaced values over a specified interval along one or more ndarray dimensions.
arange arrange javascript linear linspace math mathematics matlab ndarray node node-js nodejs numpy seq sequence statistics stats stdlib
Last synced: 04 May 2026
https://github.com/jpcadena/palmer-penguins
Palmer Penguins
analytics csv data data-analytics data-science exploratory-data-analysis matplotlib numpy palmer-penguin pandas plotly pylint python seaborn visualization
Last synced: 11 Apr 2026
https://github.com/xiaohaoo/machine-learning-examples
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keras matplotlib numpy python pytorch sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/mashalk1/computer-vision-attendance-system
A computer vision based attendance system, using cv2, firebase, numpy, cvzone and face_recognition library in python
computer-vision cv2 cvzone face-recognition numpy
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https://github.com/eljandoubi/trading-with-momentum
A trading strategy based on a momentum indicator.
momentum numpy pandas scipy trading trading-algorithms trading-strategies
Last synced: 05 May 2026
https://github.com/mborne/numpy-experiments
[DEV] Some basic examples written to get started with numpy and pytorch
autograd basics get-started least-squares numpy torch
Last synced: 05 May 2026
https://github.com/alexquar/whatisthatdog
Mobile App built using react-native that will send api requests for classifying dog breeds to a flask api server containing a custom built CNN made with pytorch trained on the Stanford dog dataset. To take a look at some examples checkout some images from my portfolio linked here.
aws ec2 expo flask gunicorn matplotlib-pyplot numpy pandas pytorch react-native seaborn typescript
Last synced: 11 Apr 2026
https://github.com/pramodyasahan/model-selection
This repository explores and compares different regression models for predicting continuous outcomes. This repository includes implementations and evaluations of five key regression models. The primary goal is to demonstrate how each model works, evaluate their performance using R-squared values, and guide users in selecting the best model.
machine-learning modelselection numpy pandas python regression scikit-learn
Last synced: 08 Mar 2025
https://github.com/hectorta1989/py-images-classification
Images classification algorithms implemented by Python
ai computervision deeplearning imageclassification imageprocessing knn-classification machine-learning numpy pandas pca pca-analysis python3
Last synced: 04 May 2026
https://github.com/theashishmavii/intelligent-crash-detection-and-emergency-notification
Intelligent Crash Detection: A deep learning-based system that detects vehicle accidents in real-time and sends emergency alerts with GPS location.
artificial-intelligence computer-vision deep-learning geolocation geopy keras machine-learning matplotlib numpy opencv pandas python tensorflow twilio vgg16
Last synced: 11 Apr 2026
https://github.com/reputed-artist/liver-disease-prediction-using-ensemble-machine-learning-method
Master degree project for liver disease prediction. i have improved the code reaching its accuracy to 98-99% from 70%.
jypyternotebook lgbmclassifier machine machine-learning machine-learning-algorithms machinelearning machinelearning-python machinelearningprojects model-training-and-evaluation numpy pandas prediction python randomforestclassifier svm-classifier xgboost-classifier
Last synced: 11 Apr 2026
https://github.com/ahmedmmahrous/medical-expenses-prediction-end-to-end-data-science-project-
Predict the future medical expenses of patients based on certain features.
data-science deployment exploratory-data-analysis flask machine-learning matplotlib numpy pandas plotly python regression statistics webapp
Last synced: 08 Apr 2026
https://github.com/jo-minseok/global-warming-100year
🌡️ 2100년까지의 지구 기온, 해수면, 북극 빙하, 탄소 예측 ML [완료]
arima-model global-warming machine-learning matplotlib numpy pandas scikit-learn seaborn
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https://github.com/rafsaf/tw-complex
Algorithms for TW
mit numpy poetry pypi-package python scipy sklearn
Last synced: 22 Feb 2026
https://github.com/ashishsingh789/traffic_accident_analysis
Analyzed traffic accident data to identify patterns related to road conditions, weather, and time of day. Visualized accident hotspots using heatmaps and bar plots.
excel matplotlib numpy pandas pandas-dataframe python seborn
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https://github.com/bearddan2000/python-web-3d-matplotlib-contour-graph
A demo of creating a 3d contour graph.
3d contour graph matplotlib numpy pandas python web
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https://github.com/anibalalpizar/python-machine-learning-example
This code reads and preprocesses a dataset for classification using pandas, numpy, matplotlib and scikit-learn. The dataset is split into three parts for training, validation and testing. The data is then scaled and optionally oversampled for balanced classes.
machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/hitthecodelabs/weatherforecast-lstm
TensorFlow and Python for analyzing and forecasting weather data
cnn keras lstm matplotlib numpy pandas python tensorflow weather weather-forecast
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https://github.com/aciluca/credit-approval-system
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data-science keras machine-learning numpy pandas python sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/f-ssemwanga/advanced-programming-york
This repository holds the extensive python programming completed during the advanced programming unit of my master's programme
comprehension csv-parser json lambda-functions list matplotlib mongodb numpy oops-in-python pandas-dataframe postgresql python3 tkinter-gui
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https://github.com/madhurjain/carnd-traffic-sign-classifier-project-2
CarND Traffic Sign Classifier Project #2
carnd matplotlib numpy pandas python self-driving-car tensorflow
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https://github.com/ricardorobledo/ml_statistical_methods
matplotlib numpy pandas python3
Last synced: 11 Apr 2026
https://github.com/sohan181204/airline-ticket-price-analysis
The analysis of airline ticket prices explores the dynamic and competitive nature of the aviation industry in India. With rapid economic growth and increasing air travel demand, understanding ticket price trends is crucial for airlines, passengers, and policymakers.
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https://github.com/dmarks84/coursework_project_text-mining-spam-analysis
Project for University of Michigan Applied Data Science Specialization -- Performed NLP in order to build features of email messages; trained various classification models to help predict if a message was spam.
classification databases eda nlp numpy pandas python scikit seaborn sentiment-analysis statistics supervised-ml text-mining unsupervised-ml visualization
Last synced: 11 Apr 2026
https://github.com/jbalooshie/movies-etl
Exercise working with movie datasets from Kaggle and Wikipedia. Python is used to extract, clean, and combine the data, and then it is loaded into a postgreSQL database.
data-analysis data-science jupyter-notebook numpy pandas postgresql postgresql-database python sqlalchemy
Last synced: 11 Apr 2026
https://github.com/jminjares4/selected-areas-in-networks
Assignments for Selected Areas in Networks (EE 5390)
matplotlib network-analysis numpy pandas python
Last synced: 08 May 2026
https://github.com/supreme-gg-gg/beam-analysis
Fast, customisable, intuitive web application to simplify beam analysis. Certified by Bob the Builder.
civil-engineering matplotlib numpy python streamlit structural-analysis
Last synced: 11 Apr 2026
https://github.com/linsanity03/football_prediction
ML project to predict goal from football events such as penalty, free kick.
jupyter-notebook numpy pandas pyspark python3 tensorflow
Last synced: 11 Apr 2026
https://github.com/anshpg/vectorwave
The Jupyter Notebook (ipynb file) contained within this repository serves as the primary codebase for this project. It demonstrates how to preprocess the input data, train the logistic regression classifier, evaluate its performance, and save the trained model for future use.
collab jupyter-notebook matplotlib-pyplot numpy pandas python sklearn
Last synced: 11 Apr 2026
https://github.com/krik8235/ml-project-sentiment-analysis
Build a machine learning model for sentimental analysis using NLTK.
kaggle kaggle-dataset machine-learning machine-learning-algorithms nltk nltk-library numpy pandas python3 seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/rakibhhridoy/differentprojects
Some of my learning projects that I practice to launch in data science. Not all, but some of few that was stored in my local repository. It can be useful for beginner data science enthusiast. Explore and learn!
data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics
Last synced: 11 Apr 2026
https://github.com/alejandrolara11/machinelearningcourse
Machine Learning Basics: From Setup to Clustering
data-analysis data-science machine-learning numpy pandas plotly preprocessing-data python scikit-learn seaborn streamlit
Last synced: 11 Apr 2026
https://github.com/pranavsuriya-sr/e-hub_energysystems
Python based Web Application for analysis and visualization of concepts in Energy Systems.
css energy-systems-analysis html javascript matplotlib numpy python schemdraw streamlit
Last synced: 11 Apr 2026
https://github.com/samuele-lolli/data-analytics-techniques
A practical approach to data analytics pipeline.
numpy pandas pytorch scikit-learn
Last synced: 11 Apr 2026
https://github.com/tjpavii0809/classification-regression-models
Simple Predictive Model of Machine Learning
data-science numpy pandas scikit-learn supervised-learning
Last synced: 20 Jan 2026
https://github.com/iaroslavbelavskii/statkemapp
Here's the code for my 'StatKemApp' app, that can be used to calculate statistics for the experimental laboratory data (e.g. titration). Feel free to use it and report any bugs!
chemical-engineering chemistry matplotlib-pyplot numpy pandas python scipy
Last synced: 11 Apr 2026
https://github.com/ebadshabbir/logistic_regression-binomial-
Logistic Regression on Social Network Ads Dataset This project applies Logistic Regression to predict whether a user will purchase a product based on their age and estimated salary, using the Social Network Ads dataset. The data is split into training and test sets, with feature scaling applied for normalization.
classification jupyter-notebook logistic-regression machine-learning matplotlib-pyplot numpy pandas python sklearn
Last synced: 11 Apr 2026
https://github.com/sakhileln/multimodal-chatbot-with-memory
A lightweight, CLI-based conversational agent that processes text and image inputs, remembers past interactions.
chatbot machine-learning nlp numpy opencv spacy tensorflow
Last synced: 11 Apr 2026
https://github.com/costopoulos/ntua-telecommunications
:radio: :telephone_receiver: NTUA ECE Telecommunications Course Code & Report
numpy nyquist python sampling scipy telecommunications
Last synced: 20 Apr 2026
https://github.com/nagipragalathan/zk-connect
In the conventional hiring process, candidate applications are met with limited assessment, leaving the crucial task of evaluating suitability to recruiters. ZKConnect disrupts this norm by introducing a transformative approach.
css django html nextjs numpy opencv pandas python
Last synced: 11 Apr 2026
https://github.com/abdulsamie10/animalclassification-cnn
Different pics of dogs, cats and pandas were used and applied CNN on them to find out their type.
animal-classification cnn colab-notebook computer-vision convolutional-neural-network convolutional-neural-networks deep-learning jupyter-notebook keras machine-learning numpy python python3 pytorch
Last synced: 11 Apr 2026
https://github.com/akibahmed229/development-of-intelligent
development of intelligent
data-science jupyter-notebook machine-learning metaploit natural-language-processing numpy pandas python skit-learn terraform
Last synced: 11 Apr 2026
https://github.com/yashlad27/machine_learning_data_science
Zero To Hero
anaconda3 deep-learning jupyter-notebook ml neural-network numpy pandas pycharm python sklearn-library
Last synced: 11 Apr 2026
https://github.com/prashhhant213/cardioflex-treadmill-analysis-using-descriptive-statistics-probability
Description Analysis and Visualization on CardioFlex Treadmill data to provide insights and recommendations to improve their userbase.
colab-notebook numpy pandas probability python stats
Last synced: 11 Apr 2026