NumPy | Ecosyste.ms: Awesome

https://github.com/thatguychandan/adoptimization

This project implements an ad optimization system using a hybrid approach combining Thompson Sampling and Upper Confidence Bound (UCB) algorithms. The system learns to select the most effective ads based on user context and historical performance.

numpy pandas plotly python pytorch reinforcement-learning scikit-learn streamlit thompson-sampling upper-confidence-bound

Last synced: 10 Apr 2026

https://github.com/hasnainroopawalla/sudoku-generator

This algorithm can generate and solve a random Sudoku Puzzle Board using Backtracking

backtracking numpy python sudoku-generator

Last synced: 16 May 2026

https://github.com/teslaproduuction/data_analiz_al

Прогнозирование курса алюминия с использованием модели ARIMAX

arimax csv django html-css-javascript numpy pandas python rss scipy sklearn sqlite yfinance-library

Last synced: 10 Apr 2026

https://github.com/null-none/pyignite

Simple deep learning library

deep-learning machine-learning ml numpy python

Last synced: 06 May 2026

https://github.com/hansalemaos/cv2pencil

Converts images to pencil sketches

filter numpy opencv pencil python

Last synced: 10 Apr 2026

https://github.com/screamman-ssh/video-camera-to-ascii

Convert a video file or camera captured to display as text.

ascii camera-to-text computer numpy opencv pillow python python-3 video-to-text

Last synced: 10 Apr 2026

https://github.com/shreeparab1890/duplicate-question-predictor

The ipython notebook is working to build a model which will detect duplicate questions if two questions pair are given.

bag-of-words nlp nlp-machine-learning nltk numpy pandas python random-forest scikit-learn sklearn streamlit

Last synced: 10 Apr 2026

https://github.com/williyam-m/urine_strip_analyzer

django numpy opencv python rest-api

Last synced: 18 Apr 2026

https://github.com/kostadinlambov/algorithmic-trading-bot

The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).

lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost

Last synced: 05 Apr 2026

https://github.com/fatimaafzaal/car_price_prediction

Trains Random Forest and Gradient Boosting models to predict car prices based on user inputs for various car attributes, evaluating models and making predictions using the best-performing model.

car-price-prediction ensemble-learning gradient-boosting matplotlib numpy pandas random-forest regression regression-models scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/ahmedabdalkreem/machine_learning_with_cv

In this project work to extraction feature from shapes to be input of machine learning model.

chaincode computer-vision contour-detection feature-extraction machine-learning matplotlib numpy open-cv pandas python sklearn svc-model

Last synced: 10 Apr 2026

https://github.com/ravi-aratchige/spacefarer

What type of astronaut would you be?

astronaut astronauts flask jupyter jupyter-notebook machine-learning numpy pandas python scikit-learn space tailwind tailwindcss

Last synced: 10 Apr 2026

https://github.com/sumanth44a/predicting-customer-churn-in-telecommunication

Predicting-Customer-Churn-In-Telecommunication

decision-trees matplotlib numpy pandas python random-forest

Last synced: 10 Apr 2026

https://github.com/gaball1/alzheimer-prediction-ai

Alzheimer Prediction is a machine learning-based project designed to predict the likelihood of Alzheimer’s disease using clinical and imaging data. The project features an interactive web application built with Streamlit, enabling users to input key data, view predictions, and explore visualizations .

ai data-mining gradient-boosting jupyter-notebook logistic-regression logistic-regression-algorithm machine-learning matplotlib-python models numpy pandas python random-forest-classifier streamlit xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/maximlevchenko/pandas-numpy-hippocampus-analysis

This project aims to analyze the differences in hippocampus size between two groups: "Unaffect" and "Affected" using pandas, numpy and matplotlib

jypyternotebook matplotlib numpy pandas pyreadr seaborn statsmodels

Last synced: 16 Apr 2026

https://github.com/adi3042/credit-card-fault-detection

🔍💳 Secure Your Finances! Detect anomalies and safeguard transactions with our Credit Card Fault Detection system. Dive into cutting-edge classification techniques to identify fraud and protect financial data. Your journey to secure payments starts here! 🚨🔒 FraudDetectionTech

classification credit-card css datetime fault-detection flask functools html ipykernel jupyternotebooks machine-learning numpy pandas python3 readme scikit-learn setuptools venv

Last synced: 03 Apr 2026

https://github.com/danielbatres/pandas-numpy-transformation-manipulation

data-science jupyter-notebook manipulation notebook numpy pandas python transformation

Last synced: 10 Apr 2026

https://github.com/gautamthampy/color-detection

Provides colour names and HTML/RGB mappings in various output formats.

c numpy opencv python

Last synced: 10 Apr 2026

https://github.com/abideen-olawuwo/converted-logistic-regression

Converted Prediction Model

logistic-regression numpy pandas sklearn

Last synced: 10 Apr 2026

https://github.com/psavarmattas/covid19-dashboard

The goal of this project is not to build just another dashboard for Covid 19. But, to focus on collaborative plot ideas, and a mobile friendly UI/UX.

appseed bootstrap covid covid-19 css dashboard django docker html javascript json numpy plotly python travis-ci

Last synced: 10 Apr 2026

https://github.com/alyssonmach/machine-learning-com-python

Aplicações de Machine Learning usando a linguagem de programação Python.

ia keras-tensorflow machine-learning matplotlib numpy pandas programming python scikit-learn scipy

Last synced: 10 Apr 2026

https://github.com/allanotieno254/pneumonia-xray-classification

This project is a Deep Learning-based Pneumonia classification system that allows medical staff to upload chest X-ray images and quickly determine whether a patient shows signs of pneumonia.

keras machine-learning numpy pandas pil pillow python streamlit streamlit-webapp

Last synced: 10 Apr 2026

https://github.com/sahilk12nayak/hyperspectral-corn-don-prediction-project

This project contains a machine learning pipeline for predicting DON (vomitoxin) concentration in corn samples using hyperspectral imaging data.

matplotlib numpy pandas python scikit-learn seaborn tensorflow

Last synced: 10 Apr 2026

https://github.com/dipto9999/ml_introduction

An Introduction to Machine Learning, primarily using Python scikit-learn library.

data-science decision-trees jupyter-notebook k-means-clustering k-nearest-neighbors linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas principal-component-analysis python random-forest scikit-learn seaborn support-vector-machines

Last synced: 10 Apr 2026

https://github.com/rokmark0/auto-feature-engineering

🐙 Automated feature engineering toolkit that creates, selects, and transforms features for machine learning on tabular data, boosting model accuracy and speeding workflows.

auto-feature-engineering automl aws-ec2 dask data-science explainable-ml feature-engineering featuretools machine-learning mahinelearning numpy pandas pandas-library python r sagemaker supervised-learning unsupervised-learning

Last synced: 10 Apr 2026

https://github.com/nihalrt/lung-cancer-data-analysis-

This is a data analysis report, created with python pandas, numpy, matplotlib, and seaborn. Provides valuable insights into the symptoms of lung cancer from a survey set.

matplotlib numpy pandas python seaborn

Last synced: 26 Jan 2026

https://github.com/rooneyrulz/cat-dog-classifier

Building a model using a convolutional neural network that well-classifying custom cat vs dog image data. including visualizations, data-preprocessing, future predictions, model-evaluation, identifying overfitting, and more.

artificial-intelligence convolutional-neural-networks data-preprocessing data-visualizations deep-learning keras matplotlib numpy pandas predictive-modeling python3 seaborn tensorflow2

Last synced: 10 Apr 2026

https://github.com/sgb31/csv-retrival-based-rag

Created a simple RAG system that lets users upload any CSV file and ask questions about it. It reads the data, finds the most relevant info, and uses an LLM to answer the query. Super handy for quickly exploring and understanding data through natural language.

generative-ai llm numpy pandas pydantic python3 sentence-transformers sklearn streamlit transformers

Last synced: 19 Jun 2026

https://github.com/sarmad426/python

Python mastery. OOP | Numpy | Pandas | Jupyter Notebook & more.

fastapi file-handling-in-python jupyter numpy oop pandas pytest python regex unit-tests

Last synced: 10 Apr 2026

https://github.com/cartabinaria/calcolo-numerico

Una raccolta di risorse per l'insegnamento di Calcolo numerico (02023) del Corso di Laurea in Informatica.

course maths numerical-methods numpy scipy uni

Last synced: 20 Jan 2026

https://github.com/ramarav/house_price_prediction

Machine learning approach for house price prediction using tensorflow.

jupyter-notebook jupyter-notebooks keras keras-models keras-neural-networks keras-tensorflow numpy python python-3 python3 tensorflow

Last synced: 10 Apr 2026

https://github.com/rlxchap2/crypto-miner

🔨Crypto Miner is a Python project designed to encrypt and decrypt files, especially images, using the powerful cryptography library

crypto cryptography csv numpy pillow python

Last synced: 08 May 2026

https://github.com/djdhairya/india_estate_price-map

data-science data-visualization eda hyperparameter-tuning keras lightgbm matplotlib metrics model numpy pandas scikit-learn seaborn tree xgboost

Last synced: 10 Apr 2026

https://github.com/adityakumarda/kmeans-web-analytics

Built with Python, Pandas, and Scikit-learn, this machine learning project uses K-Means to cluster website users by behavior. It reveals patterns in engagement and bounce, helping drive data-informed decisions.

cluster-analysis elbow-curves elbow-method elbow-plot jupyter-notebook kmeans-clustering machine-learning matplotlib numpy pandas python python3 relationship scikit-learn seaborn sklearn

Last synced: 10 Apr 2026

https://github.com/dineshdhamodharan24/amazon-reviews-sentiment-analysis

This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.

matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/sunnyrao07/stroke-risk-prediction

Predicting stroke risk using machine learning models based on healthcare and demographic data.

data-cleaning data-visualization decision-trees feature-engineering label-encoding matplotlib model-evaluation numpy outlier-detection pandas python random-forest scikit-learn seaborn standard-scaler

Last synced: 10 Apr 2026

https://github.com/smirnovlad/data-science-notebooks

A collection of various data analysis approaches

data-science deep-learning kaggle machine-learning numpy pandas pytorch

Last synced: 10 Apr 2026

https://github.com/reshmaaiman/fifa

FIFA20

data data-science data-visualization dataanalysisusingpython github jupyter-notebook matplotlib numpy pandas python seaborn-python

Last synced: 10 Apr 2026

https://github.com/amruta33/housing_price_prediction

Consider a real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc.

linear-regression numpy pandas python rfe vif

Last synced: 28 Apr 2026

https://github.com/vijaykumarr1452/startup_success_predictor

This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)

machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn

Last synced: 10 Apr 2026

https://github.com/shivammg/coursera-ml-numpy

Coursera Machine Learning course done using Python, NumPy, and Seaborn

machine-learning numpy python seaborn

Last synced: 09 May 2026

https://github.com/jol79/python_exercises

Solving interesting python exercises on different topics

matplotlib-pyplot numpy pandas python3 pythonexercises scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/snigdho8869/clustering-projects

Repository for various clustering projects including mall customer segmentation and more. Explore data analysis and clustering techniques

cluster-analysis clustering clustering-algorithm customer-segmentation deep-learning gaussian-mixture-models hierarchical-clustering hierarchical-models kmeans-algorithm kmeans-clustering machine-learning mall-customer-segmentation mall-customers numpy pandas scikit-learn segmentation spectral-clustering tensorflow

Last synced: 10 Apr 2026

https://github.com/farhad-here/median-performance-comparison

Benchmarking the performance of median calculation using vanilla Python vs NumPy.

data-analysis matplotlib numpy python

Last synced: 18 Apr 2026

https://github.com/aniruddhakhedkar/eda_for_chinese_automotive_company_teclov_chinese

Exploratory_Data_Analysis_Python_Project_1

datavisualization duplicate-detection imputation-methods numpy outlier-removal pandas seaborn statistical-analysis

Last synced: 10 Apr 2026

https://github.com/anshpg/linearluminary

Greetings! I've developed a straightforward linear regression model from scratch to predict house prices in Bangalore. But before delving into coding, let me walk you through the algorithm's conceptualization. I considered various factors such as location, ocean proximity, plot size, finished state, and flat type.

algo linea mathematics matplotlib numpy pandas pyth

Last synced: 13 May 2026

https://github.com/pedasoft-consult/multi_class_text_classification

Multi-Class Text Classification for News Headlines

keras matplotlib-pyplot nltk numpy pandas seaborn sklearn tensorflow

Last synced: 09 Apr 2026

https://github.com/jkosla/neural_network_from_scratch_numpy

Neural Network From Scratch in Python | Build a simple neural network from scratch using pure Python and NumPy. Learn about forward propagation, backpropagation, and training with gradient descent. Accompanies my Medium article.

ai aritificial-intelligence medium nerual-networks numpy python3 tutorial

Last synced: 10 Apr 2026

https://github.com/fernandezfran/ctypes_example

c ctypes numpy python

Last synced: 16 Jan 2026

https://github.com/munawar-code/car_price_predictor

This project is a ML-based car price prediction system. The model is built using Jupyter Notebook for training and evaluation, while a simple one-page website was developed using Pycharm to provide interface for users to input car details and get price predictions.

datapreprocessing datavisualization exploratory-data-analysis feature-engineering flask-application html-css-javascript linear-regression machine-learning-algorithms matplotlib numpy pandas python scikitlearn-machine-learning

Last synced: 13 Apr 2026

https://github.com/ryan-bendelson/2024-summer-research

This is Python code that I worked with during my summer 2024 research project involving quantum physics.

density-matrices kronecker-product linear-algebra miniconda3 numpy numpy-arrays partial-trace python quantum-information

Last synced: 16 Apr 2026

https://github.com/szymon-budziak/fundamentals_of_deep_learning

Fundamentals of Deep Learning NVIDIA course.

deep-learning machine-learning numpy nvidia pandas python tensorflow

Last synced: 10 Apr 2026

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/khaymanii/spam_mail_detection_model

This model was built using Python and Logistics Regression algorithm

matplotlib numpy pandas python sckiit-learn

Last synced: 10 Apr 2026

https://github.com/anuuragg/numpyneuralnet

machine-learning matplotlib neural-network numpy pandas

Last synced: 18 Jan 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/niteshchawla/logistics-nn-regression

The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.

adam-optimizer data-visualization encoding exploratory-data-analysis feature-engineering hidden-layers hyperparameter-tuning keras-tensorflow kerastuner metrics neural-network numpy pandas regression relu scaling sequential-models

Last synced: 10 Apr 2026

https://github.com/ahmedabdalkreem/connected_component_labeling

Technique used to detect small object in the image like shapes and number can used this technique in OCR.

computer-vision connected-components matplotlib numpy object-detection python rgb2gray threshold

Last synced: 11 Apr 2026

https://github.com/ahmedabdalkreem/hotel-reservation

Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.

bagging decisiontreeclassifier ensemble extra-trees-classifier logistic-regression matplotlib numpy pandas python3 random-forest sklearn-library svc-model

Last synced: 11 Apr 2026

https://github.com/matx64/birads-classifier

Breast Imaging Report and Data System (BIRADS) with Graphical User Interface.

numpy pillow skimage sklearn tkinter

Last synced: 20 Apr 2026

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

numpy pandas pickle seaborn

Last synced: 10 Apr 2026

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

Last synced: 13 Jun 2026

https://github.com/navindafernando/feature-extraction

Heart Risk Level Predicting Regression Model & Web using Feature Engineering and Data Preprocessing :baby_chick:

categorical-encoding feature-engineering flask handling-outlier html5 joblib label-encoding machine-learning numpy pandas polynomial-features quantile-transformer scaling

Last synced: 10 Apr 2026

https://github.com/tsungtsetu122/datamining-cifar10-classification

Data mining project on CIFAR-10 extracted features, applying preprocessing, classification models, and evaluation techniques to improve classification performance.

matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/shakebshamsi/youtube-scraping-using-api

Youtube Scraping

jupyter-notebook numpy pandas python seaborn

Last synced: 10 Apr 2026

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

Last synced: 10 Apr 2026

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/soumyapro/wine-quality-prediction

This project is about the prediction of wine quality using machine learning algorithms

boxplot matplotlib numpy pandas random-forest smote

Last synced: 10 Apr 2026

https://github.com/paraskevi-kivroglou/rl-pong-agent

A project by Paraskevi Kivroglou as part of exploring deep reinforcement learning applications.

atari atari-games gym-environment gymnasium numpy python3 pytorch q-learning reinforcement-learning reinforcement-learning-agent

Last synced: 11 Apr 2026

https://github.com/toluwalase-taiwo/ml-zoomcamp

Machine learning repository

algorithms jupyter-notebook machine-learning matplotlib numpy pandas python3 scikit-learn

Last synced: 11 Apr 2026

https://github.com/germanocastanho/python-notes

Personal collection of Python Notes, tips, and code snippets 🐍

data-science numpy pandas programming python

Last synced: 01 Sep 2025

https://github.com/simon2k/ieee-cis-fraud-detection

Can you detect fraud from customer transactions?

customer-transactions fraud-detection fraud-relation machine-learning numpy pandas scikit-learn

Last synced: 11 Apr 2026

https://github.com/hansalemaos/hexarray2decimal

Converts a numpy string array with hex values to int

convert hex int numpy python

Last synced: 05 May 2026

https://github.com/utkarsh251106/cricket-shot-analyzer

Real-time cricket shot analyzer using Python, OpenCV, and MediaPipe. Processes videos frame-by-frame, overlays pose and biomechanical metrics, and outputs an annotated video with JSON evaluation. Also the output video might have "??" in it which is there cause OpenCV can't display degree's symbol.

artificial-intelligence computer-vision deep-learning machine-learning mediapipe numpy python real-time

Last synced: 05 May 2026

https://github.com/armahdavi/qff-evalation_code-data-processing-statistics-plotting

Data pipelines and processing codes, statistical modellings, descriptive statistics, and plot visualizations for QFF evaluation phase of for Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021 Full-length article: https://www.sciencedirect.com/science/article/abs/pii/S0269749120370779

data-science data-visualization histogram matplotlib matplotlib-pyplot numpy pandas python

Last synced: 11 Apr 2026

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.

haar-cascade-classifier machinelearning numpy pandas-library python3 tkinter

Last synced: 08 May 2026

https://github.com/kishanlalchoudhary/te-sem-6

TE SEM 6 Assignments

cpp data-science dsa-cpp matplotlib nltk numpy pandas python salesforce scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/privatepeople/machinelearning-deeplearning

머신러닝과 딥러닝 공부를 위한 저장소

deep-learning deep-neural-networks deeplearning dl machine-learning machinelearning ml numpy pandas python scipy tensorflow

Last synced: 11 Apr 2026

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

Last synced: 11 Apr 2026

https://github.com/ahmed-maher77/diabetes-prediction-app-using-machine-learning

Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.

ai css data-science gradientboostinclassifier javascript logisticregression machine-learning matplotlib numpy pandas python randomforestclassifier seaborn streamlit supportvectormachine webdevelopment

Last synced: 11 Apr 2026

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

Last synced: 11 Apr 2026

https://github.com/alexixrugis/perceptronvisualization

Visualization of training and operation of a perceptron written from scratch in numpy

ai machine-learning numpy python

Last synced: 11 Feb 2026

https://github.com/timothyjan/intro-machine-learning-classifiers

We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a “real-world” dataset, which will introduce its own set of challenges.

numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/varkenvarken/blempy

small, safe utilities to efficiently transfer Blender property-collection attributes (e.g. vertex coordinates) to/from NumPy arrays and perform vectorized operations with minimal Python overhead.

blender numpy

Last synced: 13 Jan 2026

https://github.com/misszeferino/erp-data-analysis

Data Analysis - ERP Data (merge and outliers)

data-analysis data-visualization matplotlib merge numpy outlier-detection python scipy

Last synced: 11 Apr 2026

https://github.com/volf52/deep-neural-net

A simple deep neural net class written to work with Numpy and Cupy

binarized-neural-networks binary-neural-networks bnn cupy deep-learning deep-neural-networks mnist numpy python python3

Last synced: 05 May 2026

https://github.com/mooseburger1/nfl-social-network-analysis

Performing Social Network Analysis on the 2017 NFL schedule - Scraping the web with Python and Pandas

data-mining data-science data-visualization gephi matplotlib networkx networkx-graph numpy pandas-dataframe python-3 regular-expression social-network-analysis web-scraping

Last synced: 18 Apr 2026

https://github.com/dhanish03/credit_card_fraud_detection

Developed and implemented an advanced CCFDS using ML algorithms and pattern recognition techniques. Integrated real-time monitoring and adaptive learning capabilities into the system to dynamically adjust fraud detection parameters, ensuring effectiveness in identifying emerging fraud patterns.

kaggle-dataset numpy pandas-dataframe python3 sklearn

Last synced: 16 Apr 2026

https://github.com/lucasgleria/seamese-network-algorithm

Este projeto implementa um sistema de busca por similaridade de imagens usando redes siamesas e Triplet Loss em PyTorch. Ele gera embeddings de imagens (MNIST com EfficientNet-B0) para encontrar visuais semelhantes. O foco está na análise visual e no aprendizado de representações no espaço vetorial.

google-colab matplotlib numpy pandas python pytorch timm

Last synced: 11 Apr 2026

https://github.com/abrarshahok/electric-vehicle-charging-station-energy-consumption-prediction

With the rapid adoption of electric vehicles, optimizing energy usage at charging stations has become crucial for improving operational efficiency and ensuring customer satisfaction. This tool leverages predictive modeling to forecast energy consumption for charging sessions based on various input features.

matplotlib numpy pandas plotly python3 scikit-learn xgboost

Last synced: 09 Jun 2026

https://github.com/mrktsm/spam-email-recognizer

Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.

data-preprocessing keras lstm-neural-network model-architecture nltk numpy pandas performance-evaluation scikit-learn spam-classification-model tenserflow training-the-model

Last synced: 09 Apr 2026

https://github.com/anas436/python

This is Python Programming Language. Here, the basic problems of Python language have been solved. If you can solve these problems then your basic skills will be developed in this language and you will be suitable for doing good projects.

jupyter-notebook jupyterlab numpy pandas pycharm python3 watson-studio

Last synced: 11 Apr 2026

https://github.com/gregoritsch3/ml_eda_clustering_aidassessment

An EDA and Machine Learning Clustering exercise on the Country Aid Assessment dataset demonstrating the use of PCA, KMeans and DBSCAN clustering, Elbow Methods, etc. The clustering algorithm successfully demarcates countries that are in most dire need of aid based on their GDPP and Child Mortality rate.

anova dbscan kmeans machine-learning matplotlib numpy pandas pca scikit-learn seaborn statistics