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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/dhruv-26/parkease-pro
ParkEase Pro is an AI-powered smart parking system built with Python, OpenCV, MySQL, and ANPR technology. It automatically calculates parking fees, tracks entry-exit times, and detects empty spots using AI for real-time monitoring.
automatic-number-plate-recognition computer-vision easyocr multiprocessing numpy opencv pickle pil python sql tkinter-gui
Last synced: 09 Jun 2026
https://github.com/iv4n-ga6l/Realtime-Car-Traffic-Tracking
Realtime car traffic tracking using yolov8 model
cartracking numpy opencv python ultralytics yolov8 yolov8n
Last synced: 28 Apr 2025
https://github.com/shibam120302/plant_deseases_prediction
Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control.
Last synced: 13 Apr 2026
https://github.com/saptak625/doublependulum
This repository is my derivation of the equations of motion of a double pendulum using Lagrangian Mechanics and then solving the nonlinear, coupled equations using a Runge-Kutta 45 integration scheme.
differential-equations lagrangian-mechanics matplotlib numerical-integration numpy python scipy vpython
Last synced: 03 May 2026
https://github.com/zazi2002/neuroscience-project-olfactory-signal
This project is part of the Neuroscience of Learning, Memory, Cognition course. The main objective is to analyze Local Field Potential (LFP) signals recorded from three different brain regions of an anesthetized rat while it performed an olfactory task.
frequency-analysis lfp-analysis matplotlib numpy scipy signal-processing
Last synced: 30 Apr 2026
https://github.com/byigitt/smartmove
fake data generation and analysis for ankara metro station
ankara cv2 metro numpy pandas scikit-learn
Last synced: 03 May 2026
https://github.com/elazzouzihassan/si-fraud-detection-prototype
Système de Détection des Fraudes avec Python (Prototype).
googlecolab matplotlib numpy pandas python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/utkarsh-284/deep-learning
This repository contains the documents and main project file needed for building DNN from scratch using NumPy.
data-science deep-learning deep-neural-networks machine-learning mnist mnist-handwriting-recognition neural-networks numpy python3
Last synced: 03 May 2026
https://github.com/mathpfreitas/top-hits-spotify-2000-to-2019-
# 🎧 Top Hits Spotify (2000 - 2019)Explore music trends from 2000 to 2019 with this dataset of songs, artists, and genres. Use the insights to understand what makes a hit in today's music landscape. 🐙💻
analysis analytics chart data-analysis data-visualization exploratory-data-analysis hits interactivedashboards jupyter-notebook matplotlib music musical numpy pandas plotly python timeseries track-hits
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https://github.com/epsoft/fingerprint-feature-extraction-master
Fingerprint Feature Extraction master
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https://github.com/danhenriquex/data-science-project
The main goal of this project was to apply the concepts of data visualization and analysis.
data-analysis data-science numpy pandas python
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https://github.com/fearless-spider/stooq-dax-seasonal
Parsing seasonality from time series data can often be useful in data analytics. It helps with analyzing seasonality for decision making as well as for more accurate forecasts. Python can be used to separate out these trend and seasonal components.
numpy pandas python statistics
Last synced: 13 Apr 2026
https://github.com/ankushmallick1100/diabetes-prediction-of-females-using-maching-learning-techniques
This is a machine learning work that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LR with CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
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https://github.com/dpgitaccount/file-handling-data-analytics-toolkits
In this repo File handling, Inventory management system and data toolkits resources are provided these are essential for managing, storing, and manipulating data in various formats, such as JSON files. JSON (JavaScript Object Notation), is widely used for data exchange due to its simplicity and readability. also File Handling included in this repo.
filehandling inventory-management json jupyter-notebook numpy os
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https://github.com/hayatiyrtgl/data_analysis_project
Financial data analysis: preprocess, visualize, calculate technical indicators.
data-analysis data-analysis-python data-science dataframe numpy pandas python python3 stock-price-prediction talib trade-analysis
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https://github.com/marksikaundi/30daysofdeeplearning
This challenge is designed to help you build a strong foundation in Python programming and deep learning over the course of 30 days. By the end of this challenge, you will have developed a comprehensive understanding of deep learning concepts.
data-science nlp numpy python pytorch tensorflow
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https://github.com/svetlanam/data-scripts
Simple scripts for data cleaning, etl transformations and data reorganisations
data-cleaning data-transformation dimensions etl facts keboola numpy pandas python3 snowflake sql star-schema
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https://github.com/himel-sarder/complete-numpy
A comprehensive guide to mastering NumPy with practical examples and applications in machine learning. Perfect for learners and developers looking to deepen their knowledge of numerical computations in Python.
data-science dataanalysis machine-learning ml numpy numpy-exercises numpy-library numpy-python numpy-tutorial pythonlibrarires
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https://github.com/hanzopgp/neuralnetworkfromscratch
This is a multi-layer perceptron build from scratch using numpy and python.
artificial-intelligence deep-learning machine-learning multi-layer-perceptron numpy personal
Last synced: 17 Apr 2026
https://github.com/hrishixd/weather-data-analysis
This project involves analyzing weather data using Python to uncover patterns and trends in temperature, precipitation, and other meteorological parameters. The analysis showcases the use of Python libraries for data cleaning, manipulation, and visualization.
Last synced: 17 Apr 2026
https://github.com/fiercex/toynn
Python实现神经网络
mnist-classification neural-network numpy python
Last synced: 15 May 2026
https://github.com/sivatsk26/university-admit-eligibility-predictor
This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information
html-css-javascript ibm-cloud ibm-watson linear-regression machine-learning matplotlib numpy pandas python python-flask random-forest scikit-learn
Last synced: 13 Apr 2026
https://github.com/rixiiz/knn-model-to-predict-the-obp-of-mlb-players
A machine learning model I built that can predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season
artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning
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https://github.com/flazefy2/ds-global_cybersecurity_threats
https://www.kaggle.com/datasets/atharvasoundankar/global-cybersecurity-threats-2015-2024
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https://github.com/winter000boy/my-project-portfolio
Welcome to My Project Portfolio! This repository is a comprehensive collection of my work in Java programming, Python development, Machine Learning (ML), Artificial Intelligence (AI), and Web Development. Organized for ease of access, this portfolio highlights innovative and practical projects tailored to solve real-world challenges.
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https://github.com/mauriciovazquezm/machinelearning_course_spring2023
Machine Learning course tasks focused on the implementation of the ML algorithms using libraries such as Numpy, Pandas, etc.
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https://github.com/lakhidaksh-01/carinsightanalyzer
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https://github.com/satyanaryana-merla/financial-analysis-in-loan-analytics
sample datasets containing information about several loans, including details such as loan amount, interest rate, term duration, and other key characteristics. For this project, we need you to calculate a cash flow amortization schedule for each loan,
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https://github.com/ahasannn/multilevel_textual_emotion_classifier
Emotion detection from social media texts using machine learning algorithms.
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https://github.com/datarohit/titanic-survival-data--classification
This is a Titanic Survival Data from Kaggle Competition with Multiple Classification Algorithm testing and Detailed Exploratory Data Analysis.
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https://github.com/subh888999/-online-food-ordering-behavior-analysis-projects
This project analyzes online food ordering behavior to uncover key insights on customer preferences, restaurant performance, and factors influencing order volume. Through data-driven analysis, it aims to help optimize pricing, delivery times, and customer experience for food delivery platforms and restaurants.
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https://github.com/tritonix711/digitvision-number-predictor
"DigitVision: Number Predictor" is a deep learning project that uses a Convolutional Neural Network (CNN) to classify handwritten digits (0-9) from images. Built with Python and TensorFlow, it supports dataset preprocessing, model training, evaluation, and predictions, offering a scalable and accurate solution for digit recognition tasks.
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https://github.com/quentinwidlocher/cours-python-pandas
Jupyter Lab sur le traitement des données en python
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https://github.com/takkii/pylean
Data analysis ( 🐍 💎 📈 )
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https://github.com/singh-dhruv/traffic-light-detection-and-recognition
Welcome to this repository! Here we explored the topic of traffic lights detection and its recognition for helping the Autonomous Vehicles in their interpretation of traffic lights and decision making while driving.
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Last synced: 05 May 2026
https://github.com/flazefy2/ds-customer_shopping
https://www.kaggle.com/datasets/bhadramohit/customer-shopping-latest-trends-dataset
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https://github.com/programmer-rd-ai/dimensionality-reduction
DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.
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https://github.com/mgobeaalcoba/linear_algebra_for_machine_learning
Explore fundamental linear algebra concepts essential for machine learning in this repository, with code examples and explanations. Get a solid foundation for ML!
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https://github.com/westurner/pypfi
A Python package for personal finance
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https://github.com/lintangwisesa/python_recommendation_system
Basic recommendation system using Python & Sklearn
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https://github.com/iv4n-ga6l/openpose-prediction
Person's body parts or joint position detection using openCV
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https://github.com/rara-ch/data-analysis-portfolio
This repository to store my data analytics projects, showcasing my skills in SQL and Python.
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https://github.com/ahmed-hassan-ai/nlp-sentiment-analysis
Sentiment Analysis
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https://github.com/martincastroalvarez/python-deep-learning-algorithms
Combinatorics implemented with numpy, matplotlib and scipy.
algebra combinatorics matplotlib numpy python scipy
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https://github.com/jsdhami/data-science-with-python
Data Science With Python->Target: AI/ML
ai articicial-inteligence deep-learning deep-neural-networks mathematics-machine-learning matplotlib ml numpy pandas python pytourch statistics tensorflow
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https://github.com/mardavsj/weather-prediction
Weather prediction model which mainly focuses on visualization.
data-analysis data-visualization matplotlib numpy pandas pandas-dataframe
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https://github.com/simran1002/strip-analyzer
The Strip Color Identification is used to analyze images of urine strips uploaded by users. Using computer vision techniques, particularly leveraging OpenCV, the interface identifies and extracts the colors present on the strip.
flask multer nodejs numpy opencv python reactjs
Last synced: 10 Apr 2026
https://github.com/m-rishab/credbet
A loan prediction web app which tells You that you are eligible for loan or not!
decision-tree-classifier matplotlib numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/hossein-cod/deep-learning-for-training
Analysi hear disease data set with deep learning
accuracy chart jupyter keras matplotlib numpy pandas py python sklearn tensorflow
Last synced: 09 Mar 2026
https://github.com/mattia-hulathduwage/image-dehazing-tool
An image dehazing tool built with Python, OpenCV, and NumPy to enhance visual clarity in hazy images, featuring real-time processing and a user-friendly interface for saving dehazed results.
Last synced: 17 Apr 2026
https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis
This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.
backend clustering flask frontend kmeans-clustering matplotlib numpy pandas python rfm-analysis scikit-learn unsupervised-learning
Last synced: 16 Feb 2026
https://github.com/gauravsakure02/pubg_win_prediction
Predicting PUBG game wins using a dataset involves analyzing various in-game features such as player kills, distance traveled, and weapons acquired to build a model that forecasts the likelihood of winning a match based on player performance, helping in winning game
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Last synced: 29 Apr 2026
https://github.com/aminakbari7/simple-data-science-with-excel
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Last synced: 06 May 2026
https://github.com/williyam-m/movie-recommendation-system
Developed a web app with a cosine similarity machine learning model for personalized recommendations based on user history, likes, bookmarks, and activity. Implemented user auth and CRUD operations for movies.
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Last synced: 10 Apr 2026
https://github.com/264gaurav/deep-learning
Deep Learning and Neural Network learning/building and exploring
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https://github.com/mmsaki/whale_portfolio
Determine which Whale portfolio is performing the best across multiple areas: volatility, returns, risk and Sharpe ratios.
datetime finance jupyter-notebook matplotlib numpy pandas pathlib python quantitative-finance seaborn stock-market trading-strategies
Last synced: 06 May 2026
https://github.com/robson-python/curso-de-python-fea.dev---listas-de-exerc-cios-e-projeto-final
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functions jupyter-notebook matplotlib numpy pandas python seaborn vscode
Last synced: 23 Jun 2026
https://github.com/alexandrbig1/py-design-analysis-algo
Advanced Python project on the design and analysis of algorithms. Includes practical modules on dynamic programming, graph theory, big data (Bloom filter, HyperLogLog), parallel computing (MapReduce), and optimization. Uses libraries like NumPy, Matplotlib, NetworkX, BTrees, PrettyTable, and Datasketch for efficient computation and visualization.
algorithms asyncio git heapq matplotlib numpy python python3 turtle
Last synced: 09 Apr 2026
https://github.com/htlinh0604/invoice-data-extraction
This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bách Hóa Xanh)..
flask numpy ocr-recognition opencv pandas python regex tesseract-ocr
Last synced: 10 Nov 2025
https://github.com/meqdaddev/pixcraft
Welcome to PixCraft... Unleash the Power of Pixels
edge-detection flask gaussian-blur image-processing matplotlib matplotlib-pyplot numpy opencv opencv-python python
Last synced: 09 Apr 2026
https://github.com/upul/indi
Small Machine Learning library written in Python
algorithms machine-learning numpy python scipy
Last synced: 10 Apr 2026
https://github.com/culeshovi/cs229
Machine Learning
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Last synced: 10 Apr 2026
https://github.com/dulajkavinda/live-sketching
✍️ Converting live video stream from webcam into a sketch using OpenVC and Keras
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Last synced: 10 Apr 2026
https://github.com/thedevreda/python
My Full Backup Packagaes & Files Guide for Python 👷♂️
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https://github.com/zensam7/easy_my_ai
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genetic-algorithm library machine-learning neural-networks numpy q-learning
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https://github.com/mousazourob/stockdataresampler
Python script that resamples an instruments minute by minute candle stick data to any interval
alpha-vantage-api numpy pandas python
Last synced: 07 May 2026
https://github.com/nikita620/phishing-website-detection-by-machine-learning-techniques
Phishing is one of the familiar attacks that trick users to access malicious content and gain their information. In terms of website interface and uniform resource locator (URL), most phishing webpages look identical to the actual webpages. Various strategies for detecting phishing websites, such as blacklist, heuristic, Etc.
bagging boosting decision-trees numpy pandas python random-forest sckiit-learn sql
Last synced: 10 Apr 2026
https://github.com/cr-mao/machine-learning
机器学习笔记
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Last synced: 12 Nov 2025
https://github.com/gandhasiri-rahul-mohan/random-forests-q2-company_data
About the data: Let’s consider a Company dataset with around 10 variables and 400 records.
data-science machine-learning numpy pandas python random-forest seaborn-plots
Last synced: 07 Apr 2026
https://github.com/surtecha/multi-physics-simulation-engine
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https://github.com/kumartusha/data_scientist-ai-ml-_training_anudip_foundation
Anudip Foundation Data Analytics Training 📊 A repository containing projects, assignments, and coursework from the Anudip Foundation Data Analytics training program. This includes work on: 🧹 Data Cleaning & Preprocessing 📉 Data Visualization & EDA 📊 Statistical Analysis
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https://github.com/huangcongqing/python-libraries
python库(numpy,pandas...)学习
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Last synced: 09 Mar 2026
https://github.com/mgobeaalcoba/survival_predictor_on_the_titanic_scikit_learn
Titanic Survival Predictor using Scikit-Learn: Machine learning model and analysis to predict passenger survival on the Titanic based on historical data.
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https://github.com/lolosoares/dataanalises
This repository shows my projects made in my journey learning about data analises, ciency, engeniering and ML.
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https://github.com/datarohit/fifa-2020--data-analysis
This is dataset is from Kaggle.com which contains data of 18000+ fifa players with more than 100 features about them for analysis. Simple analysis performed on this Dataset.
exploratory-data-analysis exploratory-data-visualizations matplotlib-pyplot numpy pandas seaborn
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https://github.com/achalesh27022003/python-assignments-iwt
This repository is objected to have all the assignments and project related to IWT (Semester - 3).
cosinewave frame grid image imagetk labels matplotlib-pyplot numpy numpy-arrays numpy-library photoimage pil python3 sinewave spyder tkinter tkinter-gui window
Last synced: 10 Apr 2026
https://github.com/nemeslaszlo/sale-price-of-bulldozers
The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)
matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/vineet416/airbnb_data_analysis
Ineuron.ai Internship Project
data-analysis exploratory-data-analysis matplotlib numpy pandas-python python seaborn statistical-analysis statistics
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https://github.com/stephenhky/npdict
Python Package for Dictionary Wrappers for Numpy Arrays
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https://github.com/bhavyemathur/redstone-ml
High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust
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Last synced: 17 Apr 2026
https://github.com/andrehaguiar/pos-graduacao-inteligecia_artificial-ciencia_de_dados
Cronograma do curso
ciencia-de-dados dados matplotlib-pyplot numpy orange pandas python scipy sklearn
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https://github.com/amishmathur1/resumeats
✨ With Resume ATS Analyzer, users can improve their resume quality, boost ATS compatibility, and increase their chances of landing interviews — all with smart AI assistance.
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Last synced: 11 Apr 2026
https://github.com/ndohvich/ndohvich
Je suis un grand fan de l'analyse des données avev PYTHON
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https://github.com/afif-af/python-code
Basic python practice code,
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https://github.com/asim-2000/machine-learning-projects-in-python
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https://github.com/aryansingla45/sentiment-analysis
Sentiment Analysis Project on Twitter data
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https://github.com/coqui123/tradegpt
TradeGPT is a full-stack cryptocurrency trading application that combines a modern Fresh (Deno) frontend with a Python (FASTAPI) backend for Coinbase integration and Azure AI Services for intelligent trading analysis. 💹
analytics automation cryptocurrency data deno fastapi fresh numpy python trading-algorithms trading-strategies tradingbot typescript
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https://github.com/rooneyrulz/movie-recommender-system
Movie recommendation system using Machine learning
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https://github.com/codeasarjun/_easy_machine_learning
This repo contains a comprehensive tutorial on machine learning with practical implementations and examples using Python.
artificial-intelligence clustering deep-learning jupyter-notebook machine-learning machine-learning-algorithms modelevaluation neural-network numpy pandas preprocessing python python3 regression scipy supervised-learning supervised-machine-learning unsupervised-learning unsupervised-machine-learning
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https://github.com/m-rishab/housing-price-prediction
The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.
gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn
Last synced: 11 Apr 2026
https://github.com/mrtaz77/numerical-analysis
Hub of numerical methods, implemented using python and its data analysis libraries like numpy and matplotlib.
interpolation matplotlib-pyplot newton-raphson numpy regression
Last synced: 19 Jun 2026