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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.

https://github.com/pradeep31747/smartsuggest-personalized_product_recommendations

This project implements a personalized product recommendation system using machine learning techniques to enhance user experience and drive engagement.

jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode

Last synced: 03 Nov 2024

https://github.com/rampal-punia/data-science-toolkit

Your Go-To Resource for Essential Data Science Related Commands, Concepts, Quick Overviews and Useful Functions.

artificial-intelligence data-science keras machine-learning matplotlib nlp nlp-machine-learning numpy pandas pythorch sql tensorflow

Last synced: 03 Nov 2024

https://github.com/samir-atra/cancerdetector

The final project of AI50xIraq course is found in the commit on 21-3-2023

cancer-detection cnn dataset inceptionv3 matplotlib numpy opencv tensorboard tensorflow tensorflow-tutorials transfer-learning

Last synced: 03 Nov 2024

https://github.com/hansalemaos/numpy_choices

Some useful np.random functions

choices numpy python random

Last synced: 30 Oct 2024

https://github.com/badranalyst/movie-correlation-analysis-in-python

This project analyzes movie data correlations using Python libraries like Pandas, NumPy, Seaborn, and Matplotlib. It examines relationships between attributes such as ratings, genres, and box office performance to uncover trends that inform recommendations and enhance understanding of movie success factors.

data data-analysis dataset jupyter jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python seaborn

Last synced: 03 Nov 2024

https://github.com/memgonzales/order-brushing-shopee2020

Solution to the Week 1 Contest (Student Category) of the 2020 Shopee Code League on order brushing detection

data-analytics e-commerce fraud-detection jupyter-notebook numpy order-brushing pandas python rule-based

Last synced: 19 Nov 2024

https://github.com/thkox/uni_2023-compression-and-object-removal

This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.

2023 6th-semester colorama compression-algorithm department-of-informatics heapq lossless-compression-algorithm motion-compensation multimedia-systems numpy object-removal opencv-python pickle python scipy-stats university-of-piraeus

Last synced: 03 Nov 2024

https://github.com/omarsaad21/it-salary-eda

A python EDA project implemented on IT department salaries data we made data exploration and made data visulization for some questions on dataset

data explotary-data-analysis juypter-notebook numpy pandas python visualization

Last synced: 04 Nov 2024

https://github.com/omarsaad21/shopping-cart-eda

An EDA python project focusing on getting the most out of a movies dataset (- 1- combine this data together - 2- check messing values - 3- show summary statistics - 4- deal with date time and extract features from dates - 5- answer at least three questions from this data)

eda jupyter-notebook numpy pandas plotly python

Last synced: 04 Nov 2024

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: 04 Nov 2024

https://github.com/aishwaryagm1999/aircraft-network-security-using-yara-rules-and-machine-learning-for-threat-detection-and-prevention

This project addresses cybersecurity in aviation by developing a machine learning-enhanced intrusion detection and prevention system (IDPS) for aircraft networks. Combining YARA-based signature detection with behavior-based (ML) anomaly detection, the system mitigates cyber threats in real-time, protecting aircraft from sophisticated attacks.

argus automation cybersecurity feature-hashing idps joblib machine-learning matplotlib networking numpy pandas python random-forest-classifier requests seaborn shell smote smotesmote tshark yara

Last synced: 04 Nov 2024

https://github.com/cmdecker95/neural_net_from_scratch

A ground-up Python implementation of an artificial neural network, using NumPy and good math.

machine-learning neural-network numpy python scratch-implementation

Last synced: 04 Nov 2024

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: 30 Oct 2024

https://github.com/adesoji1/food-image-classification

Food Image Classification using TensorFlow: A deep learning model to classify various food items using TensorFlow and CNNs.

colab-notebook hyperparameter-optimization hyperparameter-tuning keras-tensorflow matplotlib-pyplot numpy pandas pillow python3 pytorch regularization tensorflow transfer-learning transformer

Last synced: 30 Oct 2024

https://github.com/jayanthsd2003/dms_sarathi_-driver-monitoring_system-

This is a project which can be seen on TATA Trucks and other premium edition cars based and focussed on the safety and monitoring driver Consciousness state

dlib dlib-face-detection numpy opencv-python pygame python pyttsx3 scipy

Last synced: 30 Oct 2024

https://github.com/danielpancake/mlml

my little machine learning library written in NumPy

machine-learning numpy

Last synced: 30 Oct 2024

https://github.com/saksham-21/data_analysis-on-hindustan-times-

Performed a proper NLP based analysis from the headlines, date published and the category of the news. Moreover created a interactive Dashboard on Tableau

beautifulsoup matplotlib numpy pandas tableau

Last synced: 12 Nov 2024

https://github.com/quocanh189/sentiment_analysis_eventhub

This project implements a Sentiment Analysis model using a neural network architecture built with Keras. The model classifies text into binary sentiment categories (positive or negative) by leveraging word embeddings and Gated Recurrent Units (GRU) layers. Additionally, the project includes a simple Flask web application to provide a real-time sent

docker flask nlp-machine-learning numpy pandas sentiment-analysis tensorflow

Last synced: 05 Nov 2024

https://github.com/moritzsalla/cci-advanced-visualization

Classwork for Mick Grierson's module at the Creative Computing Institute

matplotlib numpy openframeworks python tensorflow

Last synced: 06 Nov 2024

https://github.com/paulo-santos-ds/llm

Um aplicativo web simples de tradução que converte texto do português para o inglês, construído com Streamlit e Google Translator

deeptranslate googletranslate numpy pyngrok python streamlit

Last synced: 05 Nov 2024

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

Last synced: 05 Nov 2024

https://github.com/manikantasanjay/emotion_prediction_kaggle_cnn

Real time Facial Emotion Recognition System with CNN Model Architecture making use of Transfer Learning, Data Augmentation, and Regularization Techniques.

cnn convolutional-neural-networks dataset deep-learning jupyter-notebook matplotlib numpy pandas python3 pytorch transfer-learning

Last synced: 05 Nov 2024

https://github.com/elon-fask/nlp_num1

Natural Language Processing with Disaster Tweets

ai machine-learning nlp nlp-machine-learning numpy pandas python text-processing

Last synced: 07 Nov 2024

https://github.com/thaisgarcia/convert-censo-file

Este repositório contém scripts Python para processar dados destinados ao censo do MEC, incluindo a leitura de um arquivo TXT, a geração de um arquivo Excel e a conversão desse arquivo Excel de volta para um formato de texto.

numpy pandas python

Last synced: 12 Nov 2024

https://github.com/raghulrajn/machine-learning-d-r-y

This repository contains quick python scripts that are repeatedly used in EDA on dataset

data-science numpy pandas python

Last synced: 05 Nov 2024

https://github.com/allanreda/telco-customer-churn-predictor-app

A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.

app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn

Last synced: 07 Nov 2024

https://github.com/xiaohaoo/machine-learning-examples

机器学习使用不同框架的常见模型的例子

keras matplotlib numpy python pytorch sklearn tensorflow

Last synced: 06 Nov 2024

https://github.com/doga0/company-management-system

Company Management System with usage of OpenCV, PyQt5 and MongoDB

desktop-app face-detection face-recognition gui mongodb numpy opencv pyqt5 python

Last synced: 05 Nov 2024

https://github.com/carlescn/snake_game

An implementation of the classic Snake game using Pygame and NumPy.

numpy pygame python snake-game

Last synced: 09 Nov 2024

https://github.com/vishant007/annadataa

A Website For Farmers To Guide Them Regarding Crop Prouction In Their Native Language

django flask-application google-collab kaggle machine-learning-algorithms numpy pandas python3 scikit-learn

Last synced: 12 Nov 2024

https://github.com/shahinuralambhuiyan/learning-ml

Start learning Machine Learning basic from CodeBasics Channel

anaconda jupyter-notebook kaggle-dataset matplotlib numpy pandas pip python

Last synced: 07 Nov 2024

https://github.com/chubi-x/sort-it-image-classifier

Sort-it is an image classification application that classifies images of cats, dogs, bicycles, cars, and motorcycles.

image-classification machine-learning numpy pandas python streamlit tensorflow

Last synced: 14 Nov 2024

https://github.com/celalaygar/python-experiences

How to use numpy, map, response, opencv, pandas on python 3+. There is a lot of simple project for everybody to understant how to use python.

cv2 numpy opencv pandas pandas-dataframe python response

Last synced: 10 Nov 2024

https://github.com/star2dust/numpy-notes

A tutorial to learn numpy and matplotlib.

matplotlib numpy tutorial

Last synced: 08 Nov 2024

https://github.com/iamriteshkoushik/ml-for-dummies

This repository contains all the prerequisites, project materials and learnings from different resouces across the internet in the domain of Machine Learning.

jupyter matplotlib ml mlops numpy python pytorch-tutorial seaborn tensorflow tensorflow-lite

Last synced: 05 Nov 2024

https://github.com/tim-w-james/python-data-reference-code

Python reference code for data visualization, machine learning and SQL

data-science jupyter-lab numpy python

Last synced: 05 Nov 2024

https://github.com/bettenoch/yolo_real_time_object_detector

The YOLO Real-Time Object Detector leverages the ultralytics package to provide robust object detection capabilities. This project is designed to identify and classify objects in images, video streams, and live webcam feeds with high accuracy and efficiency.

numpy object-detection object-tracking pandas python3 real-time-processing ultralytics yolov8

Last synced: 06 Nov 2024

https://github.com/omogbolahan94/nobel-prize-winner-analysis

Data exploration, cleaning, visualization and presentation

markdown matplotlib numpy pandas plotly seaborn

Last synced: 05 Nov 2024

https://github.com/omogbolahan94/movies-budget-revenue-analysis

Data exploration, data cleaning, data analysis and predictive analysis

dataframe linear-regression matplotlib numpy pandas seaborn statistical-analysis

Last synced: 05 Nov 2024

https://github.com/omogbolahan94/lego-analysis

Analysis of LEGO data from 1949 to 2021.

matplotlib merge numpy pandas

Last synced: 05 Nov 2024

https://github.com/omogbolahan94/google-play-store-app-analysis

Data exploration, data cleaning, interactive data visualisation and insight presentation

matplotlib numpy pandas plotly

Last synced: 05 Nov 2024

https://github.com/ayushtiwari134/stock_price_predictor_dl

This is a full stack end to end project with the model trained in jupyter notebook, the backend file written in python, and for simplicity, the frontend created using streamlit.

deep-learning eda keras lstm-model machine-learning matplotlib numpy pandas python rnn streamlit tensorflow yfinance-library

Last synced: 06 Nov 2024

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: 06 Nov 2024

https://github.com/andres29ac/website_heatmaprisk

Mapa hecho con Streamlit y Folium para mostrar la distribución delictiva de cada distrito de Trujillo mediante Mapas de Calor.

folium-maps heatmap-visualization numpy pandas ploty python stadistics streamlit

Last synced: 10 Nov 2024

https://github.com/jankozik/virtualcamera

Virtual camera is created only using opencv and numpy. It simulates a camera where we can control all its parameters, intrinsic and extrinsic to get a better understanding how each component in the camera projection matrix affects the final image of the object captured by the camera.

camera numpy opencv virtualcamera

Last synced: 05 Nov 2024

https://github.com/vsrc/project-cardionaut

AI predictor for Heart Attack likelihood

numpy pandas pickle python streamlit

Last synced: 06 Nov 2024

https://github.com/shreeparab1890/unicorns-of-india-till-sep-2022-analysis-eda

This ipython notebook is the Exploratory data analysis (EDA) of the Unicorns of India till Sep 2022.

analysis data-analysis eda exploratory-data-analysis matplotlib-pyplot numpy pandas plotly

Last synced: 08 Nov 2024

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: 08 Nov 2024

https://github.com/shreeparab1890/laptop-price-predictor

This notebook is trying to build a model which will predict the price of the laptop based on the given specifications.

machine-learning-algorithms matplotlib numpy pandas price-prediction python scikit-learn sklearn

Last synced: 08 Nov 2024

https://github.com/shreeparab1890/indian-elections-2019-analysis-eda

This ipython notebook is the Exploratory data analysis (EDA) of the Indian Lok Sabha Elections 2019.

data data-analysis data-science data-visualization eda exploratory-data-analysis matplotlib numpy pandas plotly python python3 visualization

Last synced: 08 Nov 2024

https://github.com/shreeparab1890/indian-cricketer-classifier

This notebook is trying to bulia a model which will predict a Indian Cricketer based on the given image. In this project we have handled 8 Indian Cricketers and build a model to classify the given image between this 8 Cricketers.

image-classification matplotlib numpy opencv pandas python random-forest-classifier scikit-learn sklearn streamlit

Last synced: 08 Nov 2024

https://github.com/shreeparab1890/movie-recommender-system

This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.

bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization

Last synced: 08 Nov 2024

https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24

This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.

eda exploratory-data-analysis matplotlib numpy pandas plotly prediction python scikit sklearn

Last synced: 08 Nov 2024

https://github.com/shreeparab1890/flipkart-laptops-analysis-eda

This ipython notebook is the Exploratory data analysis (EDA) of the Laptops listed on Flipkart.

data-analysis eda exploratory-data-analysis matplotlib-pyplot numpy pandas plotly

Last synced: 08 Nov 2024

https://github.com/shreeparab1890/chat-analyzer

This project is a Data Analysis project to analyze the WhatsApp chats.

data-analysis numpy pandas python

Last synced: 08 Nov 2024

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: 06 Nov 2024

https://github.com/ahammadshawki8/numpy-journey

🎉 Welcome to the journey with NumPy! From this repository, You can learn all about Numpy. ✔

array beginner-friendly math numpy python

Last synced: 07 Nov 2024

https://github.com/filipporanza/rc4

A simple RC4 implementation in Python3. Useful for testing and studing RC4 properties

matplotlib numpy python3 rc4 university-project

Last synced: 06 Nov 2024

https://github.com/reubenmathew/docscanner

📸 Document Scanner using an OpenCV Edge Detection Engine

flask numpy opencv python

Last synced: 06 Nov 2024

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: 06 Nov 2024

https://github.com/alinenog/desenvolve_gb_2022

Formação Desenvolve 2022 do Grupo Boticário na área de dados

data-analysis data-science googlesheet machine-learning numpy pandas python

Last synced: 06 Nov 2024

https://github.com/kartikeya443/handgesture_vol_control

This OpenCV project enables remote control of sound playback using wireless communication. It lets users adjust the master volume of the central device using finger gestures, enhancing convenience and user experience.

mediapipe numpy opencv pycaw wireless-communication

Last synced: 06 Nov 2024

https://github.com/webintellectual/coloured-image-to-b-w-converter-web-app

A Streamlit web application to convert a coloured image to black and white image.

numpy opencv pil pillow python3 streamlit streamlit-webapp

Last synced: 06 Nov 2024

https://github.com/wbadart/simplegcn

Basic implementation of a Graph Convolutional Network

data-science gcn neural-network numpy

Last synced: 06 Nov 2024

https://github.com/theroyakash/shallow_neural_network

Design of an one hidden layer neural network using numpy only,

neural-networks numpy shallow-neural-network

Last synced: 07 Nov 2024

https://github.com/alvii147/discretetimelib

Python library for analysis of discrete time signals and systems

numpy pandas scipy signals-and-systems sympy

Last synced: 06 Nov 2024

https://github.com/edegan-furb/conwaygameoflife

This project is a simulation of Conway's Game of Life using Python with the Pygame library.

conways-game-of-life numpy pygame python

Last synced: 06 Nov 2024

https://github.com/matteopolak/chatterbox

RNN-based chat message generator.

numpy pandas python rnn tensorflow text-generation

Last synced: 06 Nov 2024

https://github.com/buildwithlal/introduction-to-data-science-in-python-coursera

introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

data-analysis matplotlib numpy pandas

Last synced: 08 Nov 2024

https://github.com/ksharma67/partial-dependent-plots-individual-conditional-expectation-plots-with-shap

The goal of SHAP is to explain the prediction of an instance x by computing the contribution of each feature to the prediction. The SHAP explanation method computes Shapley values from coalitional game theory. The feature values of a data instance act as players in a coalition.

eda individual-conditional-expectation matplotlib numpy pandas partial-dependence-plot python seaborn shap shapley-additive-explanations sklearn xgboost

Last synced: 06 Nov 2024

https://github.com/ksharma67/eda-on-ipl

In this python notebook, analysis of IPL matches from 2008 to 2020 is done using python packages like pandas, matplotlib and seaborn.

data-analysis data-science eda matplotlib numpy pandas python seaborn

Last synced: 06 Nov 2024

https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure

A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.

eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn

Last synced: 06 Nov 2024

https://github.com/ksharma67/k-means-algorithm-on-the-iris-dataset

Applied the K-Means algorithm on the Iris dataset, and utilized the Silhouette Score method to find the best value of K

eda elbow-method iris-dataset kmeans-clustering matplotlib numpy pandas python seaborn silhouette-score

Last synced: 06 Nov 2024

https://github.com/ksharma67/partial-dependent-plots-and-individual-conditional-expectation-plots

Individual Conditional Expectation (ICE) plots display one line per instance that shows how the instance's prediction changes when a feature changes. The Partial Dependence Plot (PDP) for the average effect of a feature is a global method because it does not focus on specific instances, but on an overall average.

eda gradient-boosting individual-conditional-expectation linear-regression matplotlib numpy pandas partial-dependence-plot python seaborn sklearn xgboost

Last synced: 06 Nov 2024

https://github.com/ksharma67/intel-stock-predication-wiith-eda

We are trying to design a model that can predict the price of stock using different methods and algorithms.

eda linear-regression machine-learning-algorithms matplotlib numpy pandas prediction python scaler seaborn skit-learn

Last synced: 06 Nov 2024

https://github.com/ksharma67/heart-failure-prediction

This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.

auc-roc-curve auc-roc-score decision-trees eda eli5 gridsearchcv lightgbm lime logistic-regression numpy pandas python random-forest seaborn shap skit-learn sklearn svm xgboost

Last synced: 06 Nov 2024

https://github.com/alexandremccastro/leaf-am

Application that allows measure leaf area in a destructive and non-destructive way

android area buildozer kivy kivymd leaf meter mobile numpy opencv py4a python

Last synced: 06 Nov 2024

https://github.com/thanhloc81/rfm-model-project

✨ Build a flow to deploy Segmentation evaluation through Python programming.

customer-segmentation numpy pandas python rfm-analysis

Last synced: 08 Nov 2024

https://github.com/mkdirer/multivariate-time-series-forecasting-using-transformers

This project develops a Transformers-based neural network for modeling and forecasting multivariate time series data from a COVID-19 dataset in Poland. The implementation is in Python, utilizing the Keras library for neural network design and training, along with numpy, pandas, matplotlib, and sklearn for data analysis and model evaluation.

keras-tensorflow matplotlib neural-network numpy pandas sklearn

Last synced: 07 Nov 2024

https://github.com/mkdirer/disaster-tweet-nlp-adaboost-transformers

A machine learning project that classifies tweets as disaster-related or non-disaster-related using transformers and the AdaBoost technique. Achieved an accuracy of approximately 80% on the validation set

geopy keras matplotlib numpy pandas python sklearn tensorflow

Last synced: 07 Nov 2024

https://github.com/ljadhav25/django-data-analyzer

Django Data Analyzer is a web application built using the Django framework, designed to streamline data analysis tasks. Users can upload CSV files containing data for analysis. The application utilizes the powerful data manipulation capabilities of Python libraries like pandas and numpy to perform various analyses on the uploaded data.

data-analysis data-visualization django-application matplotlib numpy pandas python seaborn

Last synced: 10 Nov 2024