NumPy | Ecosyste.ms: Awesome

https://github.com/nova-land/kalmanfilter-python

Kalman Filter in PyTorch and Numpy

Last synced: 08 May 2026

https://github.com/badranalyst/titanic-survival-prediction-full-data-science-project-classification

This project predicts Titanic survivors using classification models. It includes data cleaning, pre-processing, exploratory data analysis (EDA), categorical feature conversion, model building, and evaluation. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used to analyze and predict survival outcomes.

classification data-analysis data-science eda exploratory-data-analysis machine-learning matplo matplotlib-pyplot ml model numpy pandas predictive-modeling python seaborn

Last synced: 06 May 2026

https://github.com/icejan/predicton-systems

Various systems that train on data and generate a prediction

lightfm machine-learning numpy python scikit-learn

Last synced: 08 May 2026

https://github.com/huzaifa12466/neuralnetscratch

A simple neural network implemented from scratch in Python using NumPy, trained on the Moons dataset

artificial-intelligence artificial-neural-networks backpropagation deep-learning forwardpropagation machine-learning matplotlib neural-network neural-networks numpy

Last synced: 23 Jun 2026

https://github.com/waghraj1699/codeclauseinternship_predicting_house_prices

Task 1 of the CodeClause Internship

data-science machine-learning-algorithms numpy pandas-dataframe

Last synced: 28 Apr 2026

https://github.com/babaquero07/escalamiento-imagenes-python

Proyecto del curso Algebra Lineal - UTADEO

matloptlib numpy pillow scipy streamlit

Last synced: 28 Apr 2026

https://github.com/ayodimeji1/ai_linear_regression

artificial-intelligence linear-regression machine-learning matplotlib numpy sckit-learn seaborn

Last synced: 11 May 2026

https://github.com/alonmell/modulnet

Lightweight NumPy-based neural network framework with core layers, loss functions, optimizers, and data utilities

deep-learning from-scratch machine-learning neural-network numpy

Last synced: 29 Apr 2026

https://github.com/santiagoenriquega/game_of_life

This repository contains simulates Conway's Game of Life using Pygame for graphics and Numpy for array operations. The game simulates cellular automata where cells evolve based on simple rules.

conways-game-of-life numpy pygame python python3

Last synced: 29 Apr 2026

https://github.com/lijesh010/ml_project_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-cleaning data-exploration data-preprocessing machine-learning numpy pandas-python python scikit-learn

Last synced: 11 Apr 2026

https://github.com/shefreenkaur/nlp_query_documents

This repository contains two implementations of an NLP document query system that processes PDF documents and ranks them based on relevance to user queries.

easyocr naive-bayes nlp numpy ppmi pymupdf tf-idf

Last synced: 29 Apr 2026

https://github.com/kacemmathlouthi/deep-ml-problems

a collection of solved machine learning, linear algebra, and deep learning problems from deep-ml.com

deep-learning linear-algebra machine-learning numpy python

Last synced: 29 Apr 2026

https://github.com/cuuupid/better-tensorflow

MNIST classifier api

graph-model machine-learning neural-network numpy pickle sigmoid

Last synced: 29 Apr 2026

https://github.com/mani-prakash-n-r/stock_market_prediction_system

This project uses LSTM networks to predict stock prices based on historical data, providing insights for informed investment decisions..LSTM, NumPy, Scikit-Learn, Matplotlib, yfinance and TensorFlow

lstm matplotlib numpy python sckiit-learn tensorflow yfinance

Last synced: 11 Apr 2026

https://github.com/rand-asswad/controle_optimal

Une étude d'un problème de contrôle optimal avec visualisation 3D

controle-optimal numpy optimal-control python sympy

Last synced: 29 Apr 2026

https://github.com/flashdroid15/food_safety_security_dtp3

Modelling food safety and food security using Python

data-processing data-visualization matplotlib multiple-linear-regression numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/freya135/smart-traffic-system

A Python-based system leveraging a Raspberry Pi to capture and process traffic images, dynamically control traffic lights and servo motors based on real-time vehicle detection using edge detection, and optimize traffic flow intelligently.

canny-edge-detection gpiozero image-processing numpy open-cv python raspberry-pi-5 real-time-processing servo-motor signal-duration smart-traffic-light

Last synced: 29 Apr 2026

https://github.com/ditikrushna/identify-customer-segments

In this project, Bertelsmann partners AZ Direct and Arvato Financial Solutions have provided two datasets one with demographic information about the people of Germany, and one with that same information for customers of a mail-order sales company. I have looked at relationships between demographics features, organized the population into clusters, and saw how prevalent customers are in each of the segments obtained.

clustering clustering-algorithm numpy pca

Last synced: 08 May 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/emhash/numpy-tutorial

Just simple tasks of practice of NumPy library of python

numpy numpy-library numpy-tutorial python

Last synced: 11 Apr 2026

https://github.com/shingiraibhengesa/house-price-predictor

A machine learning project that predicts house prices based on user input features such as square footage, number of bedrooms, and more.

machine-learning-models matplotlib numpy python scikit-learn seaborn

Last synced: 09 May 2026

https://github.com/jashmit918/image-caption-generator

Image Caption Generator

image-to-text matplotlib numpy pillow python streamlit torch transformers

Last synced: 09 May 2026

https://github.com/raghavendranhp/predictive-analytics-in-automotive-manufacturing-testing-time-optimization

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

elasticnet extratreesregressor fastica model-pipeline numpy pandas pca randomforestregressor svr-regression-prediction xgboost

Last synced: 09 May 2026

https://github.com/0nom4d/306radiator

Mathematical EPITECH Project - This project reproduces the behaviour of a radiator placed at a position in a room of a given size.

epitech epitech-project numpy pytest python3

Last synced: 29 Apr 2026

https://github.com/patilsukanya/assignment-07-clustering-q2-crime

Used libraries and functions as follows:

clustering-algorithm dbscan eda groupby-method matplotlib-pyplot numpy pandas python scatter-plot sklearn standard-scaler

Last synced: 11 Apr 2026

https://github.com/dulajkavinda/document-similarity-ml

📑 Check similarity between documents using td-idf and cosine similarity.

machinelearning numpy python scikit

Last synced: 29 Apr 2026

https://github.com/ujjvalrajput/data-analysis-python-practise

Practise with matplotlib, pandas, and numpy.

matplotlib numpy pandas python

Last synced: 29 Apr 2026

https://github.com/thaisgarcia/analise-exploratoria

Respondendo 10 perguntas de negócio a partir de um dataset sobre uma rede de varejo que comercializa diversos produtos em diversas cidades dos EUA.

matplotlib numpy pandas

Last synced: 29 Apr 2026

https://github.com/sayansomya/eda_on_covid-19

Exploratory Data Analysis on COVID-19.

analytics eda matplotlib-pyplot numpy pandas-dataframe python3 seaborn

Last synced: 29 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/chirindaopensource/high_dimensional_matrix_variate_diffusion_index_models

End-to-end Python implementation of Ma et al.'s (2025) matrix-variate diffusion index models for macroeconomic forecasting. Features α-PCA factor extraction, supervised screening, and ILS estimation for high-dimensional forecasting with preserved structural information.

diffusion-index dimension-reduction econometrics factor-models financial-modeling high-dimensional-statistics macroeconomic-forecasting matrix-factorization monte-carlo-simulation numpy principal-component-analysis python quantitative-finance research-replication scientific-computing statistical-computing statistical-modeling supervised-learning time-series-analysis time-series-forecasting

Last synced: 29 Apr 2026

https://github.com/thaivincent/fft_image_compression

A simple image compression program using FFT and numPy

fft image-processing numpy

Last synced: 29 Apr 2026

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

Unlocking the magic of personalized movie recommendations! This project uses the Cosine Similarity Algorithm to suggest movies based on user-selected titles, making movie discovery more enjoyable.

Last synced: 12 May 2026

https://github.com/haleema33/cs50-final-project

This project allows the user to input a sequence of characters (a-z), and generates a unique audio file composed of piano sounds corresponding to those characters. The system reads sound files from a predefined directory, processes them, and outputs a new WAV file with the audio sequence. The audio is speeded up 3x for an accelerated playback.

numpy python3 wave

Last synced: 29 Apr 2026

https://github.com/ovsidee/psm

Fundamentals of Mathematical Simulations using Python

numpy python

Last synced: 29 Apr 2026

https://github.com/solomonbaez/koios

Neural Network Framework, built from scratch in NumPy.

machine-learning neural-network neural-networks numpy

Last synced: 29 Apr 2026

https://github.com/jsnevt/series_temporais

Previsão de eventos que ocorrem sazonalmente

datetime matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/al-ghaly/e-commerce-a-b-testing

A Statistical Analysis project in which I Performed an A/B test to analyze the effect of changing the user interface for an E-Commerce company's Website.

data-analysis matplotlib numpy pandas python python-data-analysis seaborn statistical-analysis statistics

Last synced: 29 Apr 2026

https://github.com/shariqayan/diwali_sales_analysis_python

The Diwali Sales Analysis project focuses on analyzing sales data during the Diwali festival to gain insights into customer behavior, improve customer experience, and optimize sales strategies.

data-visualization matplotlib numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/matheusvazdata/retail-sales-forecast-linreg-sklearn

Minimal project for retail sales forecasting using linear regression (scikit-learn).

forecasting linear-regression machine-learning matplotlib numpy pandas scikit-learn

Last synced: 29 Apr 2026

https://github.com/chandkund/predicting-student-grades

This project predicts student grades (G1, G2, G3) based on various features such as demographic information, study habits, family background, and other academic factors. The aim is to develop a predictive model that can assist in identifying students who may need additional support.

classification-algorithm ensemble-learning exploratory-data-analysis machine-learning matplotlib numpy pandas regression-models seaborn

Last synced: 29 Apr 2026

https://github.com/hanchiang/python-data-science-handbook

Learn data science with python, numpy, pandas from the book "Python Data Science Handbook: Essential Tools for Working with Data"

data-science numpy pandas python

Last synced: 29 Apr 2026

https://github.com/divansh2025/python_notebook

Welcome to "Basics of Python", a repository designed to help you master the fundamentals of Python. 🚀

datavisualization matplotlib numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/georgehanymilad/startups-profit-prediction

Machine Learning Project

anaconda data-science dataanalysis kaggle machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 regression seaborn

Last synced: 11 Apr 2026

https://github.com/djdurga/upi-transactions-eda

The dataset provided encompasses a comprehensive record of Unified Payments Interface (UPI) transactions spanning the period from January 2023 to December 2023. Unified Payments Interface (UPI) has emerged as a prominent digital payment system in India, facilitating seamless fund transfers between bank accounts instantly.

matplotlib numpy pandas python

Last synced: 29 Apr 2026

https://github.com/mukeshthenraj/fraud-detection-model

Logistic Regression, Grid Search, and ROC-PR curve evaluation on fraud detection dataset

classification fraud-detection machine-learning numpy pandas scikit-learn

Last synced: 29 Apr 2026

https://github.com/adalbertobrant/fundamentalista

Analise de Graham e de Greenblatt para escolha de ações baratas e com bom potencial de crescimento ao longo prazo

graham greenblatt matplotlib numpy pandas python3 streamlit

Last synced: 29 Apr 2026

https://github.com/abhishek010397/tigerprediction-machinelearning

Machine Learning Prediction Model Using Multiple Regression to predict Tiger Population in India

keras-tensorflow matplotlib-pyplot multiple-linear-regression numpy pandas python3 r2 sklearn

Last synced: 29 Apr 2026

https://github.com/michaelzheng67/farmsa-programming-for-finance-spring2021

Source files for the programming for finance presentation (complements the material covered)

excel jupyter-notebook matplotlib numpy pandas python sql yahoo-finance-api

Last synced: 29 Apr 2026

https://github.com/shwetapardhi/assignment-03-q1--hypothesis-testing

Q1.A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit

hypothesis-testing numpy p-value pandas python scipy significance-testing stats t-test

Last synced: 11 Apr 2026

https://github.com/normyee/chatbot-pytorch_nlp

ChatBot utilizing neural networks, NLP techniques, and the Bag of Words model. Implements tokenization and stemming for efficient language processing.

bag-of-words chatbotai neural-network nlp-machine-learning nltk-python numpy python pytorch-nlp

Last synced: 09 May 2026

https://github.com/rebeccamorolong/mtn-customer-churn-prdiction

This project addresses a real-world business problem: predicting customer churn for MTN, a major telecommunications company. Customer churn significantly impacts profitability, and accurate predictions enable targeted retention efforts.

anova-test matplotlib-pyplot numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/atchayaah/vois_aicte_oct2025_atchayaa

Comprehensive data science analysis leveraging NYC Airbnb market data to derive actionable insights on optimal pricing models, key performance indicators (KPIs), and factors influencing host trust and guest experience optimization.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 29 Apr 2026

https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics

✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.

data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control

Last synced: 11 Apr 2026

https://github.com/chandadiya2004/movie-recommendation-system

A Movie Recommendation System built using TfidfVectorizer and cosine similarity. The model processes a large dataset of movies and recommends similar movies based on a given input movie by analyzing textual features and calculating similarity scores.

Last synced: 29 Apr 2026

https://github.com/ahshah322/world-happiness-report-2025

Data analysis and visualization of the World Happiness Report 2025 using Python (pandas, seaborn, matplotlib). Explores how GDP, health, freedom, generosity, and corruption perception influence global happiness.

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

Last synced: 29 Apr 2026

https://github.com/fanisgl/video-games-sales-data

Data Analysis of Sales Dataset using Python.

data-analysis data-science data-visualization dataset jupyter-notebooks matplotlib numpy pandas poisson-distribution python python3 sales statistics

Last synced: 29 Apr 2026

https://github.com/abideen-olawuwo/sign-language-lambda

A model deployed to AWS Lambda

aws aws-lambda keras lambda numpy requests serverless

Last synced: 29 Apr 2026

https://github.com/ranagaballah/true-fake-news

True Fake News Detector NLP model

data-analysis data-science data-visualization deployment machine-learning matplotlib nlp numpy pandas python

Last synced: 09 May 2026

https://github.com/harmanveer-2546/bird-species-prediction-using-deep-learning

Using convolutional neural networks to build and train a bird species classifier on bird pics data with corresponding species labels, also build GUI for the same.

3d-graph callback deep-learning eda gui gui-application image-generator imageclassification keras-tensorflow matplotlib maxpooling mobilenetv2 numpy opencv pillow plotly python seaborn transfer-learning visualization

Last synced: 29 Apr 2026

https://github.com/fantaso/data-analysis-and-manipulation-with-pandas

Project consists to analyse a publicly available movie dataset found in https://www.kaggle.com/beyjin/movies-1990-to-2017 and use Python tools like Pandas in order to get some initial insights about the dataset and finally proceeding to clean, transform and save a new version of the dataset in a better structure thinking about storing the data in a database.

matplotlib numpy pandas python3 seaborn

Last synced: 29 Apr 2026

https://github.com/iambedant/deeplearning.ai-assignments

cnn convolutional-neural-networks numpy python3 tensorflow

Last synced: 29 Apr 2026

https://github.com/snehasunilnair/image-processing-projects

Image pre-processing techniques using OpenCV.

numpy opencv python3

Last synced: 29 Apr 2026

https://github.com/andryadsm/asset-analyzer

📈 Project Asset Analyzer (Python)

commodities data-analysis data-visualization economics financial-markets investing matplotlib numpy pandas python seaborn stock-market strategy trading

Last synced: 29 Apr 2026

https://github.com/mituskillologies/dkte-da-mar25

Programs conducted at DKTE's Engineering Institute, Ichalkaranji in training on Python Data Analytics March 2025.

data-analysis matplotlib numpy pandas python-programming tkinter-python

Last synced: 13 May 2026

https://github.com/erikbrinkman/hilbert-bytes

A python library for converting between d-dimensional points and indices on a hilbert curve

hilbert-curve numba numpy python

Last synced: 08 May 2025

https://github.com/shwetapardhi/assignment-04-simple-linear-regression-1

Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi

correlation-analysis data-visualization distplot eda feature-engineering model-building model-prediction model-testing numpy ols-regression p-value pandas python regression-plot rsquare-values seaborn simple-linear-regression smf statsmodel t-score

Last synced: 30 Apr 2026

https://github.com/amirali5/numpy

In this repo, all about NumPy which basically a Python Library used for multidimensional array. It also has functions for working in domain of linear algebra, fourier transform, and matrices. NumPy was created in 2005 by Travis Oliphant. It is an open source project and you can use it freely.

numpy

Last synced: 30 Apr 2026

https://github.com/jsnevt/knn_neighborhood

ML - classificação por vizinhança

kneighborsclassifier matplotlib numpy pandas seaborn

Last synced: 13 May 2026

https://github.com/priyansusahoo/face_recognition

Major Project: Attendance system project using Face Recognition

face-recognition numpy opencv-python python3

Last synced: 30 Apr 2026

https://github.com/samiksha29-patil/hr-employee-data-analysis-visualization-in-python

This project focuses on analyzing an HR Employee Dataset that contains details about employees such as demographics, job status, salaries, performance reviews, satisfaction levels, and attrition reasons.

csv-files data data-visualization dataanalysis matplotlib numpy pandas python seaborn

Last synced: 30 Apr 2026

https://github.com/sjain2580/simple-linear-regression-model

This project demonstrates a simple, yet robust, multiple linear regression model built with Python and scikit-learn to predict median house values in California.

joblib linear-regression matplotlib matplotlib-pyplot numpy python scikit-learn

Last synced: 30 Apr 2026

https://github.com/fyt3rp4til/mood-based-food-recommender-zomato-dataset

kmeans-clustering natural-language-processing nltk numpy pandas sklearn stopwords wordnetlemmatizer

Last synced: 30 Apr 2026

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: 30 Apr 2026

https://github.com/kemalcalak/developing-driverless-vehicles

This project includes the software required for an autonomous vehicle

numpy object-detection opencv segmentation yolo

Last synced: 09 May 2026

https://github.com/gill-singh-a/radial-velocity-of-star

A Program that approximates the number of exoplanets and their data (Mass, Radius of Revolution and Time Period of Revolution) present in a star system given the Radial Velocity of Star with noise

astronomical-data-analysis astronomy exoplanets fourier-transform matplotlib numpy physics python python-3 science stars

Last synced: 30 Apr 2026

https://github.com/vishal-verma-96/honey_production_analysis_using_python

In this project, I analyzed U.S. honey production from 1998 to 2021 across different U.S. cities, explored yields, and examined production values using Matplotlib and Seaborn visualizations.

matplotlib numpy pandas python-3 python-visualization seaborn

Last synced: 30 Apr 2026

https://github.com/padmavathi2905/machine-learning-projects

Sentiment and Regression Analysis

machine-learning matplotlib numpy pandas python regression-analysis sentiment-analysis visualization

Last synced: 30 Apr 2026

https://github.com/pramodyasahan/grade-predictor

This project aims to predict student performance based on various features such as job, study time, failures, absences, and first and second period grades. The project utilizes a linear regression model from the scikit-learn library in Python.

machine-learning matplotlib numpy pandas python regression scikit-learn

Last synced: 30 Apr 2026

https://github.com/mahmood-anaam/deterministic-dynamic-programming

This repository explores deterministic dynamic programming solutions for the Shortest Path Problem (SPP) and the Traveling Salesperson Problem (TSP). It includes graphical representations, a detailed Jupyter notebook, and practical implementations for optimizing travel routes and minimizing costs in various city-based scenarios.

dynamic-programming graph-theory jupyter-notebook numpy python shortest-path-problem traveling-salesperson-problem

Last synced: 09 May 2026

https://github.com/ebadshabbir/naive_bayes_classification-gaussain-

A Python project that applies Naive Bayes classification to predict user purchases based on age and salary using the Social Network Ads dataset. The project includes data preprocessing, model training, prediction, and visualization of decision boundaries for both training and test datasets.

classification gaussian jupyter-notebook machine-learning matplotlib-pyplot naive-bayes-classifier numpy pandas python

Last synced: 30 Apr 2026

https://github.com/scholarchen20/pythonlp

Python保姆级教学附有对应的demo项目（成绩管理系统），适合小白打基础。此外还包含Numpy,Tensorflow,Pytorch示例代码提供学习使用上手

image-classification image-processing numpy pands python pytorch system tensorflow

Last synced: 30 Apr 2026

https://github.com/bunu23/image-classification

This repository contains a notebook implementing a Convolutional Neural Network for multi-class image classification using transfer learning with a pre-trained ResNet-50 model. Covers dataset handling, model architecture customization, training, evaluation, fine-tuning, and external image prediction.

keras matplotlib numpy pil python tensorflow

Last synced: 11 Apr 2026

https://github.com/blankscreen-exe/triple-trial-card-maker

Triple Triad Card maker for a game inspired by Final fantasy

card-game numpy opencv python tripletriad

Last synced: 30 Apr 2026

https://github.com/fikri-rouzan/data-science-mathematics

Proyek implementasi perhitungan matematika untuk klasifikasi probabilistik Naive Bayes serta eksperimen statistik A/B testing pada sistem rekomendasi dan pengembangan perangkat lunak.

jupyter-notebook matplotlib numpy pandas python scipy seaborn

Last synced: 08 Jun 2026

https://github.com/mayankfreelancer/advanced-sales-analytics-dashboard-power-bi-

This interactive Power BI dashboard provides a comprehensive analysis of sales data across regions, categories, and time periods. The project aims to uncover key trends in total sales, profit, quantity sold, and product performance, using advanced visualizations and forecasting techniques. 🛠 Tools & Techniques Used: Power BI

dashboard data-science data-visualization excel numpy pandas powerbi python sales-analysis sql

Last synced: 30 Apr 2026

https://github.com/alejoduarte23/reading_data_from_dewesoft

The following repository retrieves sensor data (acceleration and strains) from both local and cloud databases. It processes the data using classes from another repository called Modal Engine for spectral analysis, modal analysis, and signal processing.

dewesoft matplotlib modal-analysis numpy orm scipy signal-processing sql sqlalchemy

Last synced: 07 Jan 2026

https://github.com/gabboraron/python_nyelvtan

Egy python nyelvi elemekkel fogallkozó kurzus jegyzete.

ai matplotlib-pyplot numpy pandas

Last synced: 30 Apr 2026

https://github.com/yashbhutwala/pong-ai

Deep Q-Learning Networks vs. Policy Gradient Learning in OpenAI Gym's Pong Environment

deep-q-learning numpy openai-gym policy-gradient pong python tensorflow

Last synced: 30 Apr 2026

https://github.com/ayushshrivstava/es654_prereqtest

Prerequisite test for the Machine Learning course ES654

jax matplotlib numpy pandas sympy

Last synced: 30 Apr 2026

https://github.com/danchik12/habr_scraping

Parsing Habr articles and saving in csv format

csv fake-useragent numpy pandas parser python3

Last synced: 30 Apr 2026

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: 16 Apr 2026

https://github.com/poltanek/crane-random-search

Skeleton code for a simulation of a problem similar to the Crane problem however, implementing using random search algorithm expending random nodes

numpy python python3 random-search-algorithm

Last synced: 01 May 2026

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

This project involves analyzing customer reviews to classify them as positive or negative using Logistic Regression. The workflow includes text preprocessing, feature extraction, training a model, making predictions, and evaluating its performance.

nltk numpy pandas sklearn

Last synced: 30 Apr 2026

https://github.com/ddeepanshu-997/datascience-e-commerce-shopping-details-

in this project i am going to apply data preprocessing technique on the dataset in order to clean the data using libraries, etc. make some insights/analyses to findout the hotpicks of the shopping along with some data visualsation libraries to get the trends and many more aspects in order to make a small contribution to the field of data science

cleaning-data data data-science data-visualization dataframe datapreprocessing dataset libraries matplotlib-pyplot numpy pandas plots python visualization

Last synced: 30 Apr 2026

https://github.com/sayginsaman/hand-gesture-desktop-controller

A comprehensive Python application that transforms your webcam into a powerful desktop control interface using computer vision and hand gesture recognition. Control media playback, volume, scrolling, and navigation with simple hand gestures - no mouse or keyboard required!

chmod gesture gesture-control gesture-detection gesture-recognition gestures media mediapipe numpy opencv pip pyautogui python

Last synced: 30 Apr 2026

https://github.com/dharma-acha/explanability_in_deepneuralnetworks

Our project aims to enhance the transparency and trustworthiness of the VGG model in critical fields like healthcare imaging and self-driving cars. By integrating explainability methods into the VGG model for image classification, we will clarify its decision-making process.

colab-notebook matplotlib numpy pandas scikit-learn seaborn