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/nikita620/churn-prediction-using-ann
minor project for Python and AI
artificial-neural-networks matplotlib numpy pandas
Last synced: 03 May 2026
https://github.com/chenna7893/enhancing-customer-retention-a-machine-learning-approach-to-churn-prediction
Churn prediction using machine learning models like Random Forest, Decision Tree, and XGBoost involves identifying customers who are likely to stop using a company's services.
decision-tree-classifier matplotlib numpy pandas random-forest-classifier xgboost
Last synced: 02 May 2026
https://github.com/mrhoban/python-syntax-medical-insurance-project
datascience matplotlib numpy python
Last synced: 04 May 2026
https://github.com/rahulchouhan1/air-quality-data-in-india
India Air Quality Analysis (2015-2024)
matplotlib numpy pandas python
Last synced: 11 Apr 2026
https://github.com/karthik9273/electric-vehicle-market-segmentation
Electric Vehicle market in India using Segmentation analysis and come up with a feasible strategy to enter the market, targeting the segments most likely to use Electric vehicles.
data-science machine-learning-algorithms matplotlib numpy numpy-arrays pandas seaborn statistics
Last synced: 18 Apr 2026
https://github.com/petridhsg/firewall-data-classification
A single implementation of a machine learning algorithm for a firewall data classification task
machine-learning matplotlib numpy python seaborn
Last synced: 01 May 2026
https://github.com/avs123a/image-edge-detection-demo
Demo of image edges detection using different operators, norms and custom masks
demo edge-computing edge-detection image-analysis image-manipulation image-processing jupyter-notebook numpy python python27 python3
Last synced: 04 Feb 2026
https://github.com/youssefali11997/100-numpy-exercises
100 exercise on NumPy library. NumPy (Numerical Python) is a package used for scientific computing with Python.
Last synced: 18 May 2026
https://github.com/rohansoni45/movie-recommendation-system
This project is a Content-Based Recommender System that suggests movies to users based on their preferences and watched history. The system leverages cosine similarity to find and recommend movies similar to a selected title. It is built using Python and libraries like Pandas, NumPy, and Scikit-learn.
content-based-filtering cosine-similarity data-analysis data-science machine-learning numpy pandas python recommender-system render scikit-learn
Last synced: 17 Apr 2026
https://github.com/ugurcan222/a-different-approach--image-enhancement-with-imputation-and-regression-methods
This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.
ai-image-upscaling computer-vision digital-image-processing gradient-boosting image-analysis image-enhancement image-enlargement image-interpolation image-processing imputation knn machine-learning numpy opencv pixel-prediction python randomforest regression-models super-resolution xgboost
Last synced: 17 Jan 2026
https://github.com/redreaper420/secret-qr-code-injector
Script for secret QR code injection into PNG images.
image-manipulation numpy pillow png python qrcode steganography
Last synced: 14 May 2026
https://github.com/0xkibh/books-recommendation-system
This is the website with collections of top readed books with the functionaliy of recommendation system. It basically recommends the book on the basis of given books. It also shows data of different books available.
bootstrap css flask font-awesome html numpy pandas pickle
Last synced: 07 Apr 2026
https://github.com/alyssahusna44/poai-image-classification
An implementation of an AI model that classifies animal subspecies. The project involved data preparation, model training using ResNet50, DenseNet121, and MobileNetV3, and evaluation using metrics: accuracy and mAP. ποΈ
artificial-intelligence image-classification machine-learning model-training-and-evaluation neural-networks numpy pandas python tensorflow
Last synced: 09 Apr 2026
https://github.com/harmanveer2546/house-price-prediction-using-machine-learning
We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.
catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn support-vector-machine
Last synced: 07 Apr 2026
https://github.com/kasraskari/learn-python-codes
A beginner-friendly repository to learn Python programming through structured examples and scripts, covering topics from basics to advanced concepts.
jupyter-notebook matplotlib matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python-learning python-tutorial python-tutorials scipy scipy-tutorial tutorials
Last synced: 09 Apr 2026
https://github.com/yusufterzii/numpybasics
numpy numpy-arrays numpy-exercises
Last synced: 18 May 2026
https://github.com/dineshdhamodharan24/singapore_flat_resale_
This project focuses on developing a machine learning model to predict the resale values of apartments in Singapore. The goal is to create a user-friendly online application that enables users to obtain accurate predictions for the resale values of specific properties.
data-analysis flat json numpy pandas pickle project python streamlit
Last synced: 07 Apr 2026
https://github.com/bishopce16/world_weather_analysis
The projectβs objective is to improve a travel app to give customers a way to decide their travel destination and ideal hotel based on weather preferences.
apis citipy datetime gmaps json-traversal jupyter-notebook matplotlib numpy pandas python requests scipy
Last synced: 13 Apr 2026
https://github.com/farzeennimran/moon-phases-prediction-using-ai
Deep learning model that predicts the phase of the moon πππππππ
artificial-intelligence cnn cv2-library data-science data-visualization deep-learning keras matplotlib numpy opencv predictive-modeling python tensorflow
Last synced: 07 Apr 2026
https://github.com/vbhvsingh0/cdc_immunization
This project explores the relationships in between different vaccines and the sex, age and other basic features in the data.
data-cleansing data-manipulation-with-pandas data-science numpy pandas-python python3
Last synced: 05 May 2026
https://github.com/brenderb/python-projects
General interest and school python projects I completed. Included are lab analysis files (with uncertainty analysis, fitting, and graphing), simulation files (visualization of electric+magnetic fields, etc), specific research project files (data extraction + processing for a building science lab, graphs for a medical physics paper) and misc files
csv fitting matlab matplotlib numpy os pandas pyplot python scipy uncertainty
Last synced: 05 Apr 2025
https://github.com/vbhvsingh0/deforestation_rainfall_correlation
The aim of this project is to check if there is any correlation of rainfall with deforestation in Pennsylvania state of USA.
correlation-analysis data-science matplotlib-pyplot numpy pandas python3
Last synced: 29 Apr 2026
https://github.com/vbhvsingh0/fraudulent_transactions
A few models were developed based on Decision trees and Logistic Regression to categorize fraudulent transactions
credit-card-fraud data-science logistic-regression machine-learning numpy numpy-python pandas pandas-python python3 random-forest-classifier
Last synced: 09 May 2026
https://github.com/isa1asn/mnist-neural-net
Applying neural networks on the MNIST dataset (from scratch & using tf)
from-scratch keras mnist-classification neural-networks numpy pandas relu-activation softmax tensorflow
Last synced: 12 Apr 2026
https://github.com/notshrirang/opennn
Neural Networks for humans. An implementation from scratch in Python using NumPy. Consists of Optimizers such as Adam, SGD, Adagrad, RMSProp, and activation functions ReLU, Softmax and Losses. All implemented from scratch.
deep-learning machine-learning neural-network numpy
Last synced: 27 Apr 2026
https://github.com/shivjotchoudhary/shivjot-core
High-performance Python utilities for AI/ML workflows, computer vision, and enhanced Pandas/NumPy data engineering.
computer-vision data-science machine-learning numpy pandas python
Last synced: 18 Apr 2026
https://github.com/technologicat/orderfix
Reorder solutions of parametric studies to make continuous curves
cython eigenvalues numpy postprocessing python python2 python27 python3 python34
Last synced: 25 Jan 2026
https://github.com/alexsolov28/vkrb
ΠΡΠΏΡΡΠΊΠ½Π°Ρ ΠΊΠ²Π°Π»ΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½Π°Ρ ΡΠ°Π±ΠΎΡΠ° Π±Π°ΠΊΠ°Π»Π°Π²ΡΠ° Β«Π‘ΠΈΡΡΠ΅ΠΌΠ° Π°Π½Π°Π»ΠΈΠ·Π° Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΠΌΠ°ΡΠΈΠ½Π½ΠΎΠ³ΠΎ ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ Π΄Π»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π΄Π°Ρ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ PandasΒ»
jupyter-notebook matplotlib numpy pandas python scikitlearn seaborn streamlit
Last synced: 15 Feb 2026
https://github.com/harmanveer-2546/motor-vehicle-accidents-in-india
As per the report, a total of 4,61,312 road accidents have been reported by States and Union Territories (UTs) during the calendar year 2022, which claimed 1,68,491 lives and caused injuries to 4,43,366 persons.
accidents accidents-analysis darkgrid data-analysis eda exploratory-data-analysis indian-roads inline matplotlib motor-vehicles numpy pandas review seaborn visualization
Last synced: 19 Jan 2026
https://github.com/mituskillologies/aiml-dypiemr-sep24
Programs conducted at DYPIEMR, Pune in training on AIML during September 2024.
artificial-intelligence data-analysis data-science machine-learning matplotlib neural-network numpy pandas python3
Last synced: 05 Apr 2025
https://github.com/harmanveer-2546/guide-to-regularization
Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.
generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn
Last synced: 05 Apr 2025
https://github.com/harmanveer-2546/ad-click-prediction-analysis-and-insights
To predict whether a user will click on ad or not.
ads analysis classification-report click insights linearregression matplotlib numpy onehotencoder pandas pipeline prediction preprocessing randomforestclassifier seaborn sklearn sklearn-compose sklearn-library sklearn-metrics standardscaler
Last synced: 27 Jan 2026
https://github.com/djdhairya/fish-species-detection-and-recognition
Dataset
deep-learning epoch heatmap mobilenetv2 numpy pandas relu sckiit-learn train-test-split
Last synced: 20 Jan 2026
https://github.com/rohansahu15/stackoverflow-hashtag-generator
ai machine-learning nlp numpy pandas
Last synced: 18 Jan 2026
https://github.com/chandkund/predicting-heart-disease
Welcome to the Heart Disease Prediction project! π©Ί This project focuses on developing a predictive model to assess heart disease risk based on health indicators like age, cholesterol levels, and blood pressure. By analyzing these features, we aim to create an effective tool for early diagnosis and heart disease prevention
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 18 Jan 2026
https://github.com/imdadmiran17/data_analysis_exercise
data-analysis numpy numpy-arrays numpy-exercises python3
Last synced: 17 May 2026
https://github.com/Mike014/SoundBot
This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.
chatbot dsp nlp nlp-library nlp-machine-learning numpy python scipy sound-processing
Last synced: 12 Sep 2025
https://github.com/aapo-kossi/christmas_tree_spectrogram
Colab notebook to generate a spectrogram visualization on a programmable led installation
colab-notebook numpy pandas python
Last synced: 07 Apr 2026
https://github.com/hanzopgp/tensorflowtest
Learning how to use jupyter notebook, tensorflow, numpy and other librairies for machine learning projects. Following Thibaut Neveu's tutorial.
artificial-intelligence convolutional-neural-networks deep-learning lstm-neural-networks machine-learning matplotlib multilayer-neural-networks numpy personal recurrent-neural-networks sklearn tensorflow
Last synced: 07 Apr 2026
https://github.com/hansalemaos/stridesduplicatefinder
Calculate overlapping values between two arrays and return the results as a DataFrame
duplicates fast numexpr numpy strides
Last synced: 07 Mar 2026
https://github.com/subhamsarangi/visualize
Data Visualizations using Python
bokeh matplotlib numpy pandas pyplot python3 seaborn
Last synced: 07 Apr 2026
https://github.com/hbmartin/mathjs-to-func
Compile serialized math.js expression trees into fast, reusable Python callables. Optional parse extra.
ast compiler expression-evaluator expression-parser expressions formula formula-parser formulae mathjs numpy
Last synced: 17 May 2026
https://github.com/razvan48/digit-recognizer-in-python
A simple digit recognizer written using Python.
graphics knn knn-algorithm knn-classification machine-learning machine-learning-algorithms numpy pygame python
Last synced: 17 May 2026
https://github.com/jose-zothner-meyer/finance-individual-loans
A comprehensive analysis of a financial institution's loan portfolio using Python, focusing on data preprocessing, exploratory data analysis (EDA), and feature engineering.
credit data-science data-visualization eda exploratory-data-analysis finance jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn
Last synced: 09 Apr 2026
https://github.com/orthoin3d/django-ndarrayfield
New Django field to store numpy ndarray.
django django-fields numpy numpy-arrays
Last synced: 07 Mar 2026
https://github.com/hi-shekhar/data_science
Data science
algorithm-comparison decision-trees keras kmeans linear-regression logistic-regression numpy pandas python sentiment-analysis svm time-series visualization webcrawler
Last synced: 05 Apr 2026
https://github.com/zohaib-cheema/defacto
DeFacto is a machine learning-based tool that classifies fake news articles using a hybrid model built with Scikit-learn, TensorFlow, and Keras. The system analyzes social and political content to detect deception in news stories and social media posts, providing a reliable solution to address the growing issue of misinformation.
flask git keras numpy pandas r scikit-learn tensorflow
Last synced: 07 Apr 2026
https://github.com/ediloaz/machine-learning-study-and-tests
Some codes for testing new features in Machine Learning while I'm studying and understand how to works it.
cv2 jupyter-notebook machine-learning numpy python pytorch tensorflow
Last synced: 08 Apr 2026
https://github.com/bbergerud/tenops
Creating a common interface for numpy, pytorch, tensorflow, etc.
Last synced: 20 Jan 2026
https://github.com/magzybog12/real-time-object-distance-measurement-using-opencv-python
Using an A4 paper as a guide, performing the distance measurements to find the height and width of objects placed in the region
numpy opencv-python pycharm-ide
Last synced: 05 May 2026
https://github.com/elmezianech/email-spam-ham-classifier-nb-simple
Count Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.
countvectorizer emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering
Last synced: 07 Apr 2026
https://github.com/ramyacp14/global-warming-analysis
Analyzes and visualizes global temperature data to identify climate change trends. The project includes global and seasonal temperature trend analysis, country-wise and city-specific temperature visualizations, and geospatial analysis with interactive maps and heatmaps.
data-visualization folium geospatial-analysis jupyter-notebook matplotlib numpy opencage-geocoder pandas plotly python seaborn
Last synced: 07 Apr 2026
https://github.com/krishbharadwaj5678/clearbg
Instantly remove backgrounds from any image with Clear BG. Upload your photos, remove the unwanted backdrop, and download the result in seconds.
background-remove background-remover deployment numpy onnxruntime pillow python python3 rembg streamlit
Last synced: 07 Apr 2026
https://github.com/zakircodearchitect/intent-classifiers-on-regression-models
This project compares five optimization algorithms (GD, SGD, Momentum, RMSProp, and Adam) on Univariate Linear Regression and a neural network for Intent Classification with the ATIS dataset. It evaluates convergence speed, stability, and final loss, showing that Adam delivers the best performance across both models.
atis-dataset intent-classification jupyter-notebook keras keras-neural-networks matplotlib numpy python regression-models tenserflow
Last synced: 02 May 2026
https://github.com/naveen88112/healthcare
HealthCare Data Analysis and Forecasting This project examines healthcare data by processing missing values with KNN imputation, preprocessing features, and training classification models (Logistic Regression and Random Forest). The output includes performance metrics such as accuracy, confusion matrix, precision, recall, and ROC analysis.
data-visualization feature-engineering machine-learning model-evaluation numpy pandas python scikitlearn-machine-learning
Last synced: 12 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/shubhamahobia/lstm-hamlet
The LSTM Next Word Prediction project trains a model on Hamlet to predict the next word in a sequence. After preprocessing the text, an LSTM network learns patterns in the language. The trained model can then generate text by predicting the next word in a given sequence, with its accuracy evaluated to ensure it effectively models the language.
deep-learning github hamlet lstm lstm-neural-network lstm-neural-networks machine-learning neural-network nltk numpy pandas pickle python
Last synced: 11 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/amnydv17/landmark-detection
This project aims to leverage the power of deep learning models to automatically detect and pinpoint landmarks such as famous monuments, buildings, natural landmarks, and other recognizable structures within images.
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn tensorflow
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/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/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/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/mostafa-ghorab/global-happiness-analysis
An analysis of global happiness rankings based on various factors like GDP, family support, health, and freedom from the World Happiness Report (2015-2017). This project provides data visualizations and statistical insights into how these factors influence happiness scores in different regions.
business-analysis data-analysis data-visualization matplotlib numpy pandas python seaborn
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/lmizner/codecademy_life_expectancy_gdp
Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy
barplot jupyter-notebook lineplot matplotlib-pyplot numpy pandas python scatterplot seaborn
Last synced: 12 Apr 2026
https://github.com/thariniselvakumar/kidney-disease-prediction
This project is about the kidney disease prediction using machine learning algorithms
machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/ansh-info/industrial-scale-penicillin-simulation
Optimizing industrial-scale penicillin production using machine learning and data analysis.
jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/kmkurn/text2array
Python library to convert text dataset into arrays.
deep-learning natural-language-processing neural-networks numpy
Last synced: 14 May 2026
https://github.com/adamouization/python-machine-learning-data-science-notes
:orange_book: Jupyter notebooks containing useful Python code and notes for general Machine Learning and Data Science projects.
data data-science data-visualization guide jupyter jupyter-notebook machine-learning matplotlib notes numpy pandas pandas-dataframe python seaborn
Last synced: 11 Apr 2026
https://github.com/prachpaveeny/pyspark-project
PySpark-project
azure azure-sql-database google-cloud-platform jupyter-notebook numpy pandas pyspark python
Last synced: 11 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/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/leftcoastnerdgirl/supervised_learning
This project demonstrates supervised machine learning using scikit-learn.
classification-reports confusion-matrix jupyter-notebook numpy pandas-python pathlib scikit-learn sklearn
Last synced: 16 Apr 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-distribution-cumulative-graph
A demo of creating a 3d distribution cumulative graph.
3d cumulative distribution graph matplotlib numpy pandas python web
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/data-analysis-python/pandas_api_spark
Uso del API de pandas en Spark
envs jupyter-notebook matplotlib numpy pandas pyspark python3 terminal
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/themihirmathur/soiligator
Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.
auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine
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/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/michaelgermini/python-3d-programming-book
Complete Python & 3D Programming Book: 30 chapters, 120+ examples, real-time ray tracing, ML graphics, OpenGL, NumPy
3d-graphics computer-graphics educational game-development graphics-programming machine-learning numpy opengl python ray-tracing tutorial
Last synced: 16 Apr 2026
https://github.com/rajaditya01/refactored_py_ds_ml_bootcamp
Learning ML
deep-learning eda machine-learning numpy pandas python static
Last synced: 12 Apr 2026
https://github.com/broodhoney/titanic-ml-from-disaster
This repository contains my analysis and solutions for the Titanic: Machine Learning from Disaster competition on Kaggle. The notebook explores the dataset, performs extensive Exploratory Data Analysis (EDA), applies feature engineering techniques, and builds predictive models to determine survival outcomes based on passenger data
machine-learning numpy pandas python scikit-learn scikitlearn-machine-learning
Last synced: 11 Apr 2026
https://github.com/ayushtiwari134/machine_learning_models
A repo where i upload all the models which i train during my journey of learning Machine Learning from scratch
linear-regression logistic-regression machinelearning matplotlib numpy pandas python random-forest scikit-learn
Last synced: 11 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/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/ashraf-khabar/bank-marketing-data-analysis
This project is focused on analyzing bank marketing data using PyTorch, pandas, numpy, and scikit-learn. The goal is to build a predictive model that can help identify potential customers who are more likely to subscribe to a bank's term deposit.
data-cleaning data-science data-visualization dataset deep-learning deep-neural-networks feedforward-neural-network learning neural-networks numpy pandas python pytorch sklearn
Last synced: 09 Apr 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/yanglr/mlnotes-python
Machine learning Notes for Python 3 (NumPy, TensorFlow etc.), with interactive Jupyter notebook.
jupyter jupyter-notebook numpy numpy-notes
Last synced: 21 May 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.
Last synced: 11 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
