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/grampers-dev/co2oracle
The CO2 Oracle project uses machine learning and AI to analyze and predict CO2 emissions for environmental management. Using a Kaggle dataset, it demonstrates predictive analytics to understand and forecast emissions. Written in Python, it employs libraries like Pandas, NumPy, and Scikit-Learn.
artificial-intelligence machine-learning numpy pandas python scikit-learn
Last synced: 07 Feb 2026
https://github.com/adalbertobrant/macd
Estudando sobre o uso do streamlit com geração de gráficos e dados da B3
bovespa box-plot golden-cross macd numpy python single-moving-average steamlit stocks
Last synced: 07 Feb 2026
https://github.com/harmanveer-2546/supply-chain
Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.
customer-segmentation-analysis data data-analysis data-cleaning data-insights ggplot2 numpy pandas performance-evaluation predictive-analytics-for-business python risk-assessment sales-analysis statistical-analysis supply-chain tidyverse trend-analysis
Last synced: 10 Apr 2026
https://github.com/moinak-majumdar/fake-currency-detection
Indian fake currency detecting mobile application.
cnn deep-learning flutter getx keras machine-learning mobile-app neural-network numpy random-forest scikit-learn support-vector-machines tensorflow
Last synced: 12 Apr 2026
https://github.com/zolabar/interactive-calculus
Interactive Calculus with SymPy and Jupyter Widgets
ipywidgets jupyter-notebook numpy plotly python sympy voila-dashboard
Last synced: 15 Apr 2026
https://github.com/prathameshdhande22/data-visualization-tutorial
Repository Contains all the stuff required for Data Visualization. Numpy Tutorial, Pandas Tutorial, Matplotlib Tutorial, Seaborn Tutorial
data-visualization jupyter-notebook matplolib numpy pandas pandas-dataframe python seaborn tutorial
Last synced: 09 Apr 2026
https://github.com/westurner/pypfi
A Python package for personal finance
arrow bootstrap3 csv factoryboy jquery jquery-tocify numpy pandas personal-finance pivot-tables python
Last synced: 11 Apr 2026
https://github.com/narenkhatwani/arkouda-projects
This repository contains the source codes of the projects done using Arkouda (a software package that allows a user to interactively issue massive parallel computations on distributed data using functions and syntax that mimic NumPy, the underlying computational library used in most Python data science workflows.)
arkouda data-analysis data-analytics data-science high-performance high-performance-computing highperformancecomputing numpy pandas parallel-computing parallel-processing parallelization python
Last synced: 17 Apr 2026
https://github.com/screamman-ssh/facemousecontrol
This project is about using your nose tip for the mouse's cursor and open your mouth for the left click.
autopy computer-vision face-detection mediapipe-facemesh mouse numpy opencv python python-3-7 ui
Last synced: 13 Apr 2026
https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing
Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts
colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn
Last synced: 12 Apr 2026
https://github.com/serhatderya/tabular-playground-series
This repository contains solutions of monthly Tabular Playground Series in Kaggle.
ai artificial-intelligence data data-preprocessing data-processing data-science data-visualization jupyter-notebook kaggle machine-learning numpy pandas python regression scikit-learn scikitlearn-machine-learning seaborn software statsmodels
Last synced: 11 Apr 2026
https://github.com/nikita-data/eda_projects
Exploratory data analysis projects
cac data-analysis data-visualization eda folium-maps hypothesis-testing ltv math matplotlib numpy plotly python regular roi scipy seaborn segmentation statistics unit-economics
Last synced: 06 Jan 2026
https://github.com/gregoritsch3/ml_eda_classification_loanapprovalprediction
An EDA and Machine Learning Classification exercise on the Loan Approval dataset demonstrating EDA, feature engineering, StratifiedKFold and the use of Tensorflow NN, SVC, LinearSVC, XGBoost, Naive-Bayes, Bagging, Random Forest and Decision Tree algorithms.etc. The modela are optimized using hyperparameter tuning through GridSearchCV.
eda feature-engineering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn tensorflow
Last synced: 13 Apr 2026
https://github.com/nikita-data/unit_economics_projects
unit economics & cohort analysis projects
cac churn-rate conversion create-function data-analysis data-visualization eda hypothesis-testing ltv math matplotlib numpy python retention-rate roi scipy seaborn segmentation statistics unit-economics
Last synced: 06 Jan 2026
https://github.com/asim-2000/machine-learning-projects-in-python
ensemble-model machine-learning matplotlib numpy pandas python sklearn
Last synced: 11 Apr 2026
https://github.com/octcarp-courses/sustech_cs303-ai_f23_works
(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.
Last synced: 08 May 2026
https://github.com/ayushsaksena30/cosmic-classifier
This notebook implements a structured machine learning pipeline to classify cosmic data using the CatBoost Classifier, known for its efficiency with categorical features and minimal preprocessing requirements.
catboost-classifier label-encoder machine-learning matplotlib numpy pandas robust-scaler scikit-learn seaborn simple-imputer
Last synced: 15 Apr 2026
https://github.com/lolosoares/dataanalises
This repository shows my projects made in my journey learning about data analises, ciency, engeniering and ML.
acces data-science dax excel mysql numpy pandas powerbi powerquery python r seaborn sql vba
Last synced: 10 Apr 2026
https://github.com/cusyio/datenverarbeitung-mit-numpy
Kurs zum Schreiben und Optimieren eigener Programme zur Datenverarbeitung mit Numpy.
Last synced: 08 Jun 2026
https://github.com/jaypanchal9/spotless-data
Spotless Data: A Python-based workflow using Jupyter Notebooks for efficient data cleaning, preprocessing, handling missing values, correcting outliers, and integrating external datasets ideal for quick, reliable, and clean data preparation.
data-cleaning data-preprocessing data-wrangling matplotlib numpy pandas python3
Last synced: 13 Apr 2026
https://github.com/lynk4/ai-ml
Artificial Intelligence (AI) and Machine Learning (ML) ....;)
ai artificial-intelligence huggingface huggingface-transformers machine-learning-algorithms machinelearning numpy pandas prediction-model predictions python python3 sckit-learn sentiment-analysis
Last synced: 15 Apr 2026
https://github.com/harmanveer-2546/dust-detection-on-solar-panel-using
The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.
classification dirty inceptionv3-model keras numpy pandas plotly python regularizer sequential solar-panels tensorflow visualization
Last synced: 13 Apr 2026
https://github.com/alisonmitchell/boston-housing
Investigation of the Boston housing dataset to evaluate, train and test a regression model to predict house prices.
data-science machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn
Last synced: 10 Apr 2026
https://github.com/urme-b/multimodal-multisensor
Longitudinal neurophysiological study of adult psychometric testing.
keras matplotlib numpy pandas python pytorch scikit-learn seaborn tensorflow
Last synced: 13 Apr 2026
https://github.com/ksharma67/ibm-stock-predication-wiith-eda
In this i tried to design a model that can predict the price of stock using different methods and algorithms.
bullish-signal death-cross decision-tree eda golden-cross gradient-boosting knn machine-learning-algorithms matplotlib numpy pandas prediction python random-forest scalar seaborn skit-learn svm xgboost
Last synced: 10 Apr 2026
https://github.com/dipto1971/statistical-analysis-data-science
Statistical Analysis in Data Science
Last synced: 15 Apr 2026
https://github.com/osx-rsplug-a/py_studies
Python studies
math matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/epsoft/nlp
NLP
farsi gru nlp numpy pandas persian tensorflow training word-indexer
Last synced: 15 Apr 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/epsoft/text-generation-stopword
text generation stopword
datasets generation nltk nltk-library nltk-python numpy re stopword text wordnet wordnet-library
Last synced: 15 May 2026
https://github.com/achuth-0908/hemoguard-anemia-predictor
A Web App incorporated with a Gradient Boosting Classifier Model, to predict Anemia with given data.
css flask html matplotlib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/mohamed3nan/udacity
Udacity Data Analysis Nanodegree Program
data-analysis data-visualization numpy pandas python
Last synced: 10 Apr 2026
https://github.com/yangeorget/clustering-algorithms
K-means and C-means experiments with Numpy
clustering clustering-algorithm numpy
Last synced: 02 Apr 2026
https://github.com/nemeslaszlo/financial-crisis-effects-on-some-stocks
Focusing on bank stocks to see how they progressed throughout the 2008-09 financial crisis all the way to early 2016.
cufflinks jupyter-notebook matplotlib numpy pandas pandas-datareader plotly seaborn
Last synced: 03 May 2026
https://github.com/hamidhosen42/a-graph-machine-learning
Graph-Machine-Learning. Graph Machine Learning provides a new set of tools for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks.
ipynb-jupyter-notebook machine-learning-algorithms mathplotlib numpy pandas python sklearn-library
Last synced: 09 Feb 2026
https://github.com/rooneyrulz/movie-recommender-system
Movie recommendation system using Machine learning
cosine-similarity jupyer-notebook machine-learning movie-recomendation-system numpy pandas python3 recomender-system vectorization
Last synced: 11 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
Last synced: 11 Apr 2026
https://github.com/faisal-khann/diwali-sales-analysis
The "Diwali Sales Analysis" project aims to analyze the sales data during the Diwali festival period to uncover insights and trends that can help improve marketing strategies and sales performance in the future
csv data-analysis eda jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 11 Apr 2026
https://github.com/jigyasag18/gold-price-prediction-project-using-machine-learning
This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics
data dataset jupyter-notebook jupyter-notebooks machine-learning machinelearing machinelearningalgorithms machinelearningmodel machinelearningprojects matplotlib mlproject numpy pandas randomforestregressor seaborn
Last synced: 23 Jul 2025
https://github.com/gitfrandu4/40982-p1
Repositorio de la Práctica 1 en Visión por Computador, explorando el uso de OpenCV para crear imágenes artísticas, manipular píxeles y capturar video. Incluye ejercicios como diseño de un tablero de ajedrez, estilo Mondrian, y un efecto “Pop Art” con la cámara web.
computer-vision image-processing mondrian-style numpy opencv pop-art python visual-art webcam-capture
Last synced: 09 Apr 2026
https://github.com/lironmiz/machine-learning-specialization-course
Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
artificial-neural-networks clustering coursera decision-trees deep-reinforcement-learning gradient-descent linear-regression logistic-regression logistic-regression-classifier machine-learning ml-models numpy project recommender-system regularization-methods scikitlearn-machine-learning supervised-learning tensorflow tree-ensembles xgboost
Last synced: 03 May 2026
https://github.com/satvikpraveen/fashionmnist-analysis
A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.
computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg
Last synced: 22 Apr 2025
https://github.com/ladityagogoi/shadowguard
The ShadowGuard Browser Extension is a powerful tool designed to enhance user experience by identifying and highlighting potential dark patterns on websites. Our extension employs a combination of machine learning algorithms and natural language processing (NLP) models to detect and classify various deceptive design practices
css flask html javascript joblib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/carrington-115/ppt-generator-from-excel
PPT Generator for Excel file
numpy oop pandas python python-pptx
Last synced: 10 Feb 2026
https://github.com/msadeqsirjani/synapse
seizure detector with neural networks
cnn edf matplotlib neural-network numpy pyedflib python seizure-detection sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/prakashjha1/stock-trend-prediction
Deep learning for predicting stock market prices and trends has become even more popular than before. I have used yahoo finance to collect the data and LSTM to build the stock trend model.
deep-learning keras lstm lstm-neural-networks machine-learning numpy pandas pandas-datareader prediction python rnn tensorflow
Last synced: 11 Apr 2026
https://github.com/kimpro82/myinvestmentmodules
Someday these will be an integrated trading system, but not now. So I am sad.
investment monte-carlo-simulation numpy python r vba xing-api
Last synced: 10 Feb 2026
https://github.com/dagdelenbunyamin/barcode-scanner-flb
Ein interaktives Barcode-Scanner-Tool zur Verwaltung von Schülerabmeldungen. Mit Webcam-Unterstützung, automatischer Zeiterfassung und PDF-Export für Lehrkräfte – entwickelt mit Streamlit, OpenCV und SQLite.
fpdf numpy opencv pandas python pyzbar streamlit
Last synced: 11 Apr 2026
https://github.com/rickydoan/machine-learning-risk-model-prediction-classification
This project leverages machine learning to provide insights into loan and credit risk. By analyzing user-provided financial data, it predicts the likelihood of loan default, generates a credit score, and assigns a risk rating. Designed to assist financial institutions and individuals in making informed decisions
classification joblib machine-learning numpy pandas python sklearn-library streamlit
Last synced: 27 Feb 2026
https://github.com/codehass/facial-emotional-detection
Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.
cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow
Last synced: 12 Apr 2026
https://github.com/carmoreno/analisisaccidentalidadbogota
Data Analysis about traffic accidents at Bogotá, Colombia.
data-analysis data-science jupyer-notebook matplotlib numpy pandas scikit-learn
Last synced: 17 Apr 2026
https://github.com/kanishk1420/renewabled-data-helper
An AI-powered assistant designed to help analysts, developers, and investors efficiently analyze and extract critical insights from renewable energy project documents. Built using Python, Google Gemini, FAISS, and Streamlit
gemini-api langchain mongodb numpy python streamlit
Last synced: 11 Apr 2026
https://github.com/lakhidaksh-01/carinsightanalyzer
Interactive Car Ratings & Insights
cars matplotlib numpy pandas python seaborn streamlit
Last synced: 10 Apr 2026
https://github.com/garcane/income-prediction-ml
This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.
data data-science machine-learning ml numpy pandas python random-forest scikit-learn
Last synced: 08 Apr 2026
https://github.com/nemeslaszlo/dog_breed_identification
Dog breed identification model to identify and label 120 different dog breeds.
matplotlib numpy pandas tensorflow tensorflow-hub
Last synced: 13 Apr 2026
https://github.com/vvipjain/stock-trend-analysis
Stock Trend Analysis
matplotlib numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library pandas-python pyhton3 python seaborn
Last synced: 13 Apr 2026
https://github.com/arnoldchrisoduor1/machinelearning-and-neuralnetworks
Starting out in Machine Learning.
numpy pandas python scikit-learn scipy sql tensorflow2
Last synced: 11 Apr 2026
https://github.com/m-faizan-mahmood/house-price-prediction-machine-learning-model
Implemented a Multiple Linear Regression model to predict house prices based on square footage, number of bedrooms, and age of the house.
artificial-intelligence data-analysis data-science data-visualization machine-learning machine-learning-algorithms matplotlib neural-network numpy pandas predictive-modeling python regression-models seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/msthamizh/bizcardx-extracting-business-card-data-with-ocr
Developing a Streamlit application that enables users to upload business card images and extract key details using easyOCR. The app allows users to manage the extracted data (view, update, delete) and securely stores it in a MySQL database. It also highlights extracted text directly on the business card image using Pillow.
easyocr mysql numpy pandas pillow python regular-expression streamlit
Last synced: 10 Apr 2026
https://github.com/raju-2003/indiaai-cyberguard-ai-hackathon
An NLP-powered system to simplify cybercrime reporting by analyzing descriptions, categorizing incidents, and providing actionable insights.
matplotlib nltk numpy pandas python random-forest-classifier re scikit-learn seaborn shap spacy wordcloud
Last synced: 11 Apr 2026
https://github.com/sralter/sustainability_insights
A data analysis project that derived insights from an emissions dataset sourced from Climate TRACE.
duckdb eda matplotlib numpy pandas tableau
Last synced: 12 Feb 2026
https://github.com/manjillama/machine-learning-101
Introduction to machine learning, conda environment, Jupyter Notebook, Pandas, NumPy and Matplotlib.
conda-environment jupyter-notebook machine-learning matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/amirdh17/reading-device-for-visually-impaired
This device looks like reading stand which can take photo of the book and read out for visually impaired person. Raspberry Pi 4 is used as controller. Major Python modules used are Pytesseract, OpenCV and Pytts.
autocorrect image-processing nlp numpy opencv-python pillow portable pytesseract-ocr python3 pyttsx3 raspberry-pi-3 skimage thonny
Last synced: 12 Feb 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.
matplotlib numpy pandas python3 scikit-learn seaborn titanic-dataset titanic-kaggle titanic-survival-prediction
Last synced: 10 Apr 2026
https://github.com/kartikeya443/handgesture_detection_opencv
A Computer Vision based model trained on data sets of over 300 inputs for a particular gesture is able to detect and identify human hands gestures effortlessly and is able to track the coordinates for further modifications in its usage for controlling devices like mouse and windows (control features are in development).
deep-learning mediapipe numpy opencv tensorflow
Last synced: 11 Apr 2026
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/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/jbayardo/aa-tp1
Machine learning on spam
email-classifier jupyter-notebook numpy pandas python scikit-learn spam-filtering text-processing
Last synced: 10 Apr 2026
https://github.com/nirmalyabag20/breast-cancer-prediction-using-machine-learning
This project leverages machine learning to classify breast cancer as malignant or benign based on tumor characteristics. By applying and evaluating multiple algorithms, the model achieves high accuracy, demonstrating the practical application of data-driven solutions in medical diagnostics.
logistic-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 12 Feb 2026
https://github.com/sergio11/breast_cancer_diagnosis_mlp
🩺🔬 MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. 📊🤖
deep-learning deep-neural-networks machine-learning mlp-classifier mlp-networks numpy sklearn sklearn-classify
Last synced: 21 Feb 2026
https://github.com/zceemja/si-base
A basic python package that converts numerical strings with units to base units
conversion jax numpy python scientific scipy
Last synced: 12 Feb 2026
https://github.com/bhattbhavesh91/tf-numpy-example
Faster NumPy using Tensorflow's tf.experimental.numpy module
Last synced: 01 May 2026
https://github.com/shanmukhsrisaivedullapalli/smsspamclassification
SMSSpamClassification is a machine learning project aimed at accurately classifying SMS messages as either spam or ham (non-spam). It employs natural language processing techniques to extract relevant features from the text data and utilizes various classification algorithms to build a robust spam detection model.
jupyter-notebook numpy pandas pickle python3 sklearn spam-classification spam-detection
Last synced: 11 Apr 2026
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/sehgalnaval/olympics-data-analysis
I will be building an Olympics Data Analysis Web Application using Streamlit. For development, I will be using Python and Pandas. For plotting, I will be using Seaborn and Plotly libraries. The project will also be deployed to Heroku.
heroku jupyter-notebook matplotlib numpy pandas pycharm python seaborn
Last synced: 11 Apr 2026
https://github.com/sakshisrivastava-2601/credit-card-fraud-detection
Credit Card Fraud Detection Project Using Machine Learning. This project focuses on leveraging advanced Machine learning techniques to identify fraudulent transactions with high accuracy.
advanced-machine data machine-learning numpy project-repository python pytorch random-forest
Last synced: 16 Apr 2026
https://github.com/amari-calipso/papers-please-tasbot
A "Papers, Please" TASbot that offers a programmable interface with the game
cython game-bot games image-processing numpy papers-please papersplease python python3 tas tool-assisted-speedrun
Last synced: 13 Feb 2026
https://github.com/iBz-04/DiabetesCL
Predicting instances of diabetic & non-diabetic patients with Support vector machine classifier
data-science diabetes-prediction google-colab-notebook machine-learning machine-learning-projects medical-informatics numpy pandas-python python3 sckiit-learn svm-classifier
Last synced: 21 Oct 2025
https://github.com/ryannapp12/quant_trading_engine
A modular, and scalable quantitative trading engine built in Python. This project demonstrates efficient data caching with SQLite, concurrent backtesting, and advanced risk analytics, showcasing best practices in clean code architecture and performance optimization.
algorithmic-trading backtesting dash data-analysis data-visualization fintech lstm machine-learning numpy pandas plotly python quantitative-finance real-time risk-management sqlite technical-analysis tensorflow time-series-analysis trading-strategies
Last synced: 11 Apr 2026
https://github.com/zainashrafofficial/ml_project_2024
A machine learning semester project of university, implementing classification and regression models to predict house prices & number of rooms using a dataset with over 160,000 entries.
ai ann artificial-neural-networks classification decision-trees jupyter-notebook linear-regression logistic-regression matplotlib ml numpy pandas python random-forest regression-models svm tensorflow
Last synced: 13 Apr 2026
https://github.com/pranav-bot/ml-dl-models-from-scratch
This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations
deep-learning descion-tree from-scratch linear-regression logistic-regression machine-learning naive-bayes neural-networks numpy perceptron pytorch qlearning random-forest regression reinforcement-learning support-vector-machines svm
Last synced: 15 Apr 2026
https://github.com/juwono136/indonesia-negative-comment-lstm
Sentiment Analysis of Indonesian Negative Comments on Social Media Using Long Short-Term Memory (LSTM)
deep-learning-algorithms gradio-interface hugging-face lstm-sentiment-analysis nlp numpy python3 tensorflow
Last synced: 17 Apr 2026
https://github.com/mohidex/analyze-movie-rating
Analyzing the distributions of IMDB and Metacritic movie ratings to see if we find anything interesting. To do this, first scrape data for over 2000 movies from imdb website.
beautifulsoup4 jupyter-notebook matplotlib numpy pandas python3 requests webscraping
Last synced: 20 Apr 2026
https://github.com/nomadsdev/pulse-detect
PulseDetect is a Python tool that detects audio frequencies in real-time. It captures sound from the microphone and identifies the dominant frequency using pyaudio and numpy
numpy pulse-detect pyaudio python scipy
Last synced: 07 Jan 2026
https://github.com/datarohit/garbage-image-classification
This is Garbage Image Classification End-To-End Project built using Python and Streamlit.
cnn-classification cnn-keras inceptionv3 keras-tensorflow matplotlib numpy
Last synced: 30 Apr 2026
https://github.com/datarohit/imdb-reviews-sentiment-analysis
This is a NLP - Sentiment Analysis Project built using Bernoulli-Naive-Bayes Algorithm to Predict is the IMDB Movie Review is Positive or Negative.
bernoulli-naive-bayes classification count-vectorizer multinomial-naive-bayes nltk numpy pandas porter-stemmer regex sentiment-analysis sklearn
Last synced: 29 Apr 2026
https://github.com/tasninanika/callifornia-housing-price-prediction-svr
Support Vector Regression (SVR) is a type of Support Vector Machine used for predicting continuous values.
matplotlib numpy pandas python3 scikit-learn seaborn svm-regression
Last synced: 11 Apr 2026
https://github.com/datarohit/nlp-course-files
The files in this Repo are files for the online NLP-Course from Udemy.com which I completed.
nlp nlp-machine-learning nltk numpy panda python sklearn spacy
Last synced: 12 Apr 2026
https://github.com/hq969/customer-churn-prediction-with-hyperparameter-optimization-and-model-deployment
A complete end-to-end machine learning project that predicts customer churn using the Telco dataset. It includes data preprocessing, exploratory data analysis (EDA), model training with Random Forest, hyperparameter tuning, evaluation, and deployment via a Flask API.
flask numpy pandas python scikit-learn xgboost
Last synced: 02 Apr 2026
