NumPy | Ecosyste.ms: Awesome

https://github.com/arnoldchrisoduor1/potato_disease

Trained a CNN to detect the presence and the current stage of Blight disease in potatoes, WebApp in FastAPI and React

fastapi keras numpy react serving-tensors tensorflow

Last synced: 04 Apr 2026

https://github.com/bvsam/nnfs

Basic neural network built using Python and Numpy. Created to better understand neural networks.

artificial-intelligence deep-learning machine-learning neural-network neural-networks numpy python3

Last synced: 18 Apr 2026

https://github.com/kasraskari/python-for-data-science

Foundational concepts and libraries for data science with Python.

data-science jupyter-notebook matplotlib numpy pandas python scipy

Last synced: 04 Apr 2026

https://github.com/alainlebret/python-et-ia-1

Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN

artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn

Last synced: 04 Apr 2026

https://github.com/yashsonaar/machine-learning-tasks

This repository has machine learning tasks which include classification, recommendation system, fraud detection system

classification jupyter-notebook machine-learning numpy pandas prediction python scikit-learn testing

Last synced: 04 Apr 2026

https://github.com/ccolpasm/pageviewanalyzer

PageViewAnalyzer analyzes and visualizes time series data of forum visits (2016-2019). It uses Pandas, Matplotlib, and Seaborn to create line plots, bar charts, and box plots, highlighting trends, monthly averages, and seasonality in page views. Perfect for data exploration with Python.

data-science matplotlib numpy pandas python

Last synced: 18 Apr 2026

https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk

OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.

accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn

Last synced: 18 Apr 2026

https://github.com/jsnevt/regressao_linear

Regressão linear simples - Qual a velocidade se levou x distância para parar ?

linear-regression matplotlib numpy pandas python

Last synced: 18 Apr 2026

https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022

Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.

catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap

Last synced: 18 Apr 2026

https://github.com/armanshadyan/bacteria-detection

Deep learning-powered tool for detecting and analyzing bacteria in microscope images. Designed for microbiology research, it identifies bacteria, counts them, and calculates coverage area with high precision. Supports real-time video processing, single-image analysis, batch processing, and model training.

mediapipe numpy object-detection opencv python pytorch

Last synced: 05 Apr 2026

https://github.com/alezoon/movie-revenue-prediction

Sk-learn practice using Linear Regression, ML workflow practice.

jupyter machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 05 Apr 2026

https://github.com/ksasi/dog-breed-classifier

Dog Breed Classifier

cnn cnn-classification computer-vision deep-learning deep-neural-networks keras keras-neural-networks machine-learning numpy pandas python scikit-learn

Last synced: 05 Apr 2026

https://github.com/annygutierrez/ann-prediction-template

keras matplotlib-pyplot numpy pandas sklearn

Last synced: 05 Apr 2026

https://github.com/dyceszn/i.duruohacos102

First-year deep dive into problem-solving with Python—featuring class practices and projects using NumPy, Pandas, Tkinter, and psycopg2.

numpy psycopg2 python tkinter

Last synced: 18 Apr 2026

https://github.com/stffns/snapvec

Fast compressed ANN search via randomized Hadamard transform + Lloyd-Max quantization. Pure NumPy.

ann embeddings hadamard numpy quantization rag vector-search

Last synced: 07 Apr 2026

https://github.com/iv4n-ga6l/titanic-survival-prediction

a predictive model in Python that answers the following question: “using data relating to passengers (name, age, gender, socio-economic class, etc.), who has the greatest chance to survive?"

matplotlib numpy pandas python seaborn sklearn

Last synced: 18 Apr 2026

https://github.com/lruizap/tomography-with-algebraic-topology

This project aims to analyze images using algebraic topology. The goal is to extract structural information from images through mathematical concepts such as connected components and loops.

gudhi jupyter-notebook matplotlib numpy opencv python tomography

Last synced: 05 May 2026

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: 05 May 2026

https://github.com/cicku/en.650.672

HW of EN.650.672

analytics data-analysis numpy pandas

Last synced: 05 May 2026

https://github.com/mohitsai/boston-housing-data-analysis

Data Analysis Project for the City of Boston Government for insights into effect of property rennovations and remodelling on housing availability in the city

data-analysis data-science matplotlib numpy pandas python

Last synced: 05 May 2026

https://github.com/jeslipriya/expense-tracker

This is a smart expense tracking web app built with Flask that helps users manage and visualize their spending. It features Pandas and Numpy analysis to suggest ways to cut down on unnecessary expenses, with clean UI, graph visualizations, and secure login.

css flask-application full-stack html matplotlib numpy pandas

Last synced: 05 May 2026

https://github.com/zuhairzia/customer-segmentation

📖 About Customer Segmentation using KMeans clustering to analyze demographics, income, and spending. Helps businesses with targeted marketing and customer insights.

joblib matplotlib numpy pandas scikit-learn seaborn

Last synced: 05 May 2026

https://github.com/fayzi-dev/salary_predict_app_by_streamlit

Salary predict App by Streamlit

numpy pandas pypickle streamlit streamlit-webapp

Last synced: 05 May 2026

https://github.com/anas436/generating-maps-with-folium-using-python

folium ibm-watson numpy pandas pulgins python3 wget

Last synced: 05 May 2026

https://github.com/muthupillai1204/diwali_sales_analysis

The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.

data datacleaning eda excel jupyter-notebook matlplotlib numpy pandas python seaborn visualization

Last synced: 05 May 2026

https://github.com/nandinimarepalli/ai_ml_internship_projects

Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 05 May 2026

https://github.com/amruta33/lead_scoring_case_study

An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.

bagging linear-regression numpy pandas python3

Last synced: 05 May 2026

https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization

A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.

dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python

Last synced: 05 May 2026

https://github.com/debangshu9183/spam-mail-detection

To detect spam mail

logistic-regression machine-learning numpy pandas scikit-learn seaborn

Last synced: 05 May 2026

https://github.com/kalwalt/pybind-test

A simple example with pybind and numpy with C++ code

cplusplus numpy pybind11 python

Last synced: 05 May 2026

https://github.com/nxhawk/mln

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

decision-tree-classifier genetic-algorithm jupyter-notebook machine-learning-algorithms numpy pandas sklearn-library

Last synced: 06 May 2026

https://github.com/vikkiezdev/ai-global-index-analysis

This project analyzes the AI readiness of 62 countries using key indicators like government strategy, commercial activity, research, development, and infrastructure. Through data cleaning, EDA, and visualization, it identifies key drivers of AI adoption and competitiveness.

cleaning-data correlation-analysis eda matplotlib numpy pandas python3 seaborn statistical-analysis

Last synced: 06 May 2026

https://github.com/leavers/npblob

Transfer numpy array between Python and JavaScript losslessly

array javascript matrix numpy python streaming typescript

Last synced: 06 May 2026

https://github.com/shwetapardhi/assignment-1-q9_b--basic-statistics-level-1

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv

kurtosis matplotlib-pyplot numpy pandas python seaborn skewness

Last synced: 06 May 2026

https://github.com/kashinathbiradar/bangalore-housing-price-prediction

The objective of the project is to create a machine learning model. We are doing a supervised learning and our aim is to do predictive analysis to predict housing price.

css deta doc html machine-learning matplotlib numpy pandas preprocessing seaborn sklearn sql

Last synced: 06 May 2026

https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies

This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.

activelearning cuda entropy kldivergence margin numpy python pyto uncertainty

Last synced: 06 May 2026

https://github.com/amirjahantab/deep-ml-solutions

ML Code Challenges

ai algorithms backpropagation data-science deep-learning-algorithms deep-neural-networks linear-algebra machine-learning machine-learning-algorithms mathematics matrix numpy pca python

Last synced: 06 May 2026

https://github.com/toxe/python-plotting

Python Plotting

matplotlib numpy pandas plotting python

Last synced: 06 May 2026

https://github.com/skorupcia/winequality-white

winequality-white.csv visualization

matplotlib numpy pandas seaborn sklearn

Last synced: 06 May 2026

https://github.com/yashpaneliya/bank-loan-default-analysis

Analyze and understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default.

data-analysis loan-default-analysis matplotlib numpy pandas python

Last synced: 06 May 2026

https://github.com/sankaran-s2001/us-traffic-accidents-analysis-python-eda

Exploratory data analysis of US traffic accidents from 2016-2023, analyzing patterns by time, location, weather, and severity using Python data science libraries.

data-analysis data-science data-visualization eda matplolib numpy pandas python

Last synced: 06 May 2026

https://github.com/erick957/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression

🏠 Predict house prices using advanced regression techniques with this comprehensive analysis and cleaning project, from data loading to model deployment.

data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python

Last synced: 06 May 2026

https://github.com/andrewsy1004/logistic-regression-spam-classifier

This project implements a spam email classifier using Logistic Regression.

numpy pandas scikit-learn

Last synced: 06 May 2026

https://github.com/mikma03/datascience_python_datacamp

DataScience with Python. Code and examples. Python libraries, including pandas, NumPy, Matplotlib, and many more.

data-analysis data-science datacamp datascience numpy pandas python

Last synced: 06 May 2026

https://github.com/kunalpisolkar24/gradientdescent

A Python implementation of gradient descent for linear regression, visualized with cost function history, parameter trajectory, and a 3D cost surface.

cost-function gradient-descent numpy visualization

Last synced: 06 May 2026

https://github.com/dm-zhuk/goit-math-python-tests

Mathematics

matplotlib-python numpy pandas scipy

Last synced: 06 May 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/patilsukanya/assignment-05.-multiple-linear-regression-q2

Used libraries and functions as follows:

collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score mlr multiple-linear-regression numpy ols-regression pairplot python regress-exog residual-analysis rsquare-values smf statsmodels vif

Last synced: 06 May 2026

https://github.com/deanlogan/data-analysis-course

Code created when completing the Data Analysis with Python Course on freecodecamp.org

course data-analysis numpy pandas python python3

Last synced: 06 May 2026

https://github.com/elmezianech/classifyreviews_nlp

Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.

accuracy-score ai countvectorizer cross-validation joblib logistic-regression machine-learning ml multinomialnb naive-bayes-classifier nltk-library numpy pandas randomforestclassifier svc

Last synced: 06 May 2026

https://github.com/fbi555/fashion-mnist-cnn-tf

🧵 Classify fashion images using a compact CNN model in TensorFlow/Keras, designed for the Fashion-MNIST dataset with easy execution in Google Colab.

adam classification cnn colab-notebook computer-vision convolutional-neural-networks custom-training-loop deep-learning fashion-mnist gans image-classification interactive jupyter-notebook keras lowlevelapi mnist-dataset numpy regularization

Last synced: 06 May 2026

https://github.com/christiansassi/signal-image-and-video-project

Project developed by Pietro Bologna (@bolognapietro) and Christian Sassi for the Signal, Image and Video course.

image-processing mri-segmentation numpy opencv python

Last synced: 06 May 2026

https://github.com/kavayk29/text-summarization-fine-tuning-pegasus-model

This project uses the Pegasus model to generate concise, coherent text summaries. Fine-tuned on large datasets, it excels in abstractive summarization, ideal for automating tasks like summarizing articles and research papers.

datasets huggingface-transformers matplotlib nltk numpy pandas teansform tqdm

Last synced: 06 May 2026

https://github.com/timeless-residents/handson-tensorflow-numpy

A practical guide to learning and using TensorFlow and NumPy for data manipulation and machine learning

data-science machine-learning numpy tensorflow tutorial

Last synced: 06 May 2026

https://github.com/kumar-o/customer-churn-prediction

🔍 Predict customer churn using a synthetic dataset with advanced models and metrics to enhance business retention strategies and decision-making.

churn-prediction customer-churn-prediction customer-survival-analysis data-science factorization-machines flask-application gridsearchcv libsvm machine-learning model-evaluation numpy pipelines roc-auc scikit-learn seaborn smote survival-analysis xgboost4j

Last synced: 06 May 2026

https://github.com/prab9166/-web-content-extraction-and-sentiment-analysis-

web content extraction and sentiment analysis on URLs provided in an Excel file. Its divided into classes to manage different stages such as data loading, web scraping, text processing, sentiment scoring, and output generation

beautifulsoup lxml nltk-python numpy pandas python re requests xlsxwriter

Last synced: 06 May 2026

https://github.com/fatihilhan42/lane-line-detection-with-python

In this project you will detect lane lines in images using Python and OpenCV. OpenCV means "Open-Source Computer Vision", which is a package that has many useful tools for analyzing images.

image-processing line-detection numpy opencv python

Last synced: 06 May 2026

https://github.com/bartosz-ziolkowski/social_data

Data analysis of San Francisco's crime data set from 2003 to 2018

data-science data-visualization jupyter-notebook numpy pandas python

Last synced: 06 May 2026

https://github.com/jayanthpotluri5513/heart-disease-prediction-using-ml

This project aims to develop a machine learning model for heart disease prediction, leveraging the potential of advanced algorithms and a comprehensive dataset.

machine-learning matplotlib numpy pandas python

Last synced: 06 May 2026

https://github.com/jai0212/course-selector-uoft

A program that suggests university courses based on your program and provides a custom GUI to customize your course plan. Created to help UofT students

beautifulsoup csv graphs graphs-algorithms networkx-graph numpy os parser pickle pillow plotly python tkinter-gui tkmacosx

Last synced: 06 May 2026

https://github.com/theweird-kid/ml-notes

Machine Learning Notes

machine-learning matplotlib numpy scikit-learn seaborn

Last synced: 06 May 2026

https://github.com/jonolav95/advent_of_code_2022

Using Python with Pandas and Numpy (www.adventofcode.com).

numpy pandas

Last synced: 06 May 2026

https://github.com/shimu-i/pythonmastery

Diving into Python essentials, libraries, and tricks to become an AI & ML pro. Coding, learning, and having fun while building the future!

numpy pandas python

Last synced: 07 May 2026

https://github.com/chandkund/pytorch

Foundational introduction to PyTorch, focusing on the basics of tensors, their creation, manipulation, and operations, which are essential for understanding and building deep learning models

classification computer-vision cuda-programming deep-learning loss-functions matplotlib numpy optimization pandas pyhton pytroch workflow

Last synced: 07 May 2026

https://github.com/siddhantprateek/machine-learning-resources

Machine Learning Resources

best-practices clustering-algorithm data-analysis deep-learning in-progress journey linear-regression machine-learning machine-learning-algorithms neural-language-modelling neural-language-processing neural-network numpy python3 read reinforcement-learning-algorithms tensorflow visualisation

Last synced: 07 May 2026

https://github.com/waghraj1699/ipl-win-probability-predictor

Web app to predict live probability of win percentage of match

data-preprocessing machine-learning ml-algorithms numpy pandas

Last synced: 07 May 2026

https://github.com/dakshdeephere/bank_eda-practice

EDA analysis of Bank.csv dataset

analysis data data-visualization dataanalysis matplotlib numpy pandas python3 seaborn

Last synced: 07 May 2026

https://github.com/jonad/titanic_survival

Basic decision tree model for Titanic dataset. Predict who will survive.

jupyter-notebook matplotlib numpy pandas python3 titanic-survival-prediction

Last synced: 07 May 2026

https://github.com/suhas-005/jovian-data-analysis-course-assignment

These are my assignments for Data Analysis : Zero to Pandas course by Jovian.ai

data-analysis data-analytics numpy pandas python

Last synced: 07 May 2026

https://github.com/amruta33/bike_sharing

Building ML model for Bike sharing

linear-regression matplotlib numpy pandas python3 seaborn

Last synced: 07 May 2026

https://github.com/omr5221/data-science-from-scratch

jupyter-notebook machine-learning matplotlib models numpy pandas probability python2 statistics vector visualization

Last synced: 07 May 2026

https://github.com/shantanudhanawade/mini-projects

Price prediction with linear regression

matplotlib-python numpy pandas scikit-learn-python

Last synced: 07 May 2026

https://github.com/ayushmankumar7/siamese-network-with-one-shot-learning

Implementation of this paper - https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf

numpy tensorflow tf-keras

Last synced: 07 May 2026

https://github.com/pointer2alvee/machine-learning-algorithms-scratch

Core Machine Learning concepts , algorithms & maths implemented completely from scratch using Python & numpy only.

machine-learning-algorithms numpy pandas probabilistic-machine-learning python statistical-models

Last synced: 07 May 2026

https://github.com/salvatoreamaddio/powerbi

This project combines both Python and PowerBI technologies. It cleans a dataset and imports it into a PowerBI file.

numpy pandas pandas-python powerbi python

Last synced: 07 May 2026

https://github.com/alekiie/streamlit-dashboard

A dashboard that utilizes the power of streamlit charts to create intuitive and easy to understand charts for data visualization.

data-visualization matplotlib numpy pandas python3 streamlit

Last synced: 07 May 2026

https://github.com/vansh-py04/infosys-springboard-introduction-to-ai-ml

artificial-intelligence data-analysis data-science data-visualization exploratory-data-analysis machine-learning matplotlib numpy pandas python seaborn

Last synced: 07 May 2026

https://github.com/ayushpatel2026/stock_predictor

Neural Networks to Predict Stock Prices

data-science flask-api machine-learning neural-network numpy python pytorch

Last synced: 07 May 2026

https://github.com/jimmymugendi/luxdev-week-2-boot-camp

correlation-analysis eda matplotlib numpy pandas seaborn-plots visualizations

Last synced: 07 May 2026

https://github.com/ebadshabbir/bluff-detection-model-polynomial_regression-

This project predicts employee salaries based on position levels using Linear and Polynomial Regression models. It trains models with degrees 2, 3, and 4 on a dataset of job titles, position levels, and salaries, and predicts the salary for a position level of 6.5. The results are visualized to compare model performance.

jupyter-notebook linear-regression machine-learning matplotlib-pyplot multiple-linear-regression numpy polynomial-regression python

Last synced: 07 May 2026

https://github.com/imskully/python-cv-fault-detection

Fault detection algorithm that determines whether or not a fault exists within a ring using raw computer vision.

ccl computer-vision matplotlib morphology numpy opencv python

Last synced: 07 May 2026

https://github.com/hackintoshrao/first-neural-network

Simple Neural Network with a hidden layer written from scratch using Numpy for prediction the bike sharing sales

deep-learning neural-networks numpy python

Last synced: 07 May 2026

https://github.com/pocketfullofdata/electric-vehicles-market-size-analysis

This project analyzes the growth, adoption trends, and future projections of the electric vehicle (EV) market. Using data analysis and visualization techniques, it examines key factors like sales trends, and consumer adoption to understand the evolving landscape of the EV industry.

analysis data jupyter-notebook matplotlib numpy python seaborn vscode

Last synced: 07 May 2026

https://github.com/pesala-x/data-science-ai-assessments

this is inClass practice application for Python-for-Data-Science-AI

data-types functions jupyter-notebook loops machine-learning numpy pandas-python python python3 seaborn

Last synced: 07 May 2026

https://github.com/kavayk29/audio-classification-using-python-library

This is a audio classification Project using python Libraries such as librosa to make the visual representation of the audio files, and using numpy to make array of data for manipulation and then extraction the features for classification to train and test of CNN model.

librosa matplotlib-pyplot mfcc-features numpy pandas sklearn-library

Last synced: 07 May 2026

https://github.com/jaewonson37/programming_machine_learning_applications1

classification classifier matplotlib numpy pandas regression sckit-learn singular-value-decomposition td-idf

Last synced: 07 May 2026

https://github.com/shruthilearns/topmentor_pandas_exercise2_assignment

numpy pandas-dataframe plotting python3 seaborn series-data string

Last synced: 07 May 2026

https://github.com/minjii1079/pytune

Building PyTune, a Python guitar tuner that uses PyAudio for recording, NumPy for math operations, and SciPy for FFT (Fast Fourier Transform) and signal processing.

fft guitar-tuner music numpy pyaudio python3 scipy

Last synced: 07 May 2026

https://github.com/aimin-nur/dataanalyst-cohortanalysis

Sebuah project Data Analayst untuk mengetahui bagaimana pola pembelian pelanggan dalam periode waktu tertentu (Cohort Analysis)..

cohort-analysis numpy pandas pytz

Last synced: 07 May 2026

https://github.com/4strium/predict-french-tv-audience

🎬 A beginner's machine learning project whose aim is to predict the audience for films on TV in France, based on previous data provided by the CNC and Médiamétrie.

machine-learning numpy pandas python tv xgboost

Last synced: 07 May 2026

https://github.com/navid-kalaei/numpy-neural-network

Neural network implemented in Numpy to predict bike sharing on real data

deep-learning neural-network numpy python

Last synced: 07 May 2026

https://github.com/reddyprasade/bird-classifications-problem

Birds Classification by using Scikit-learn and Scikit-image

matplotlib numpy pandas python-3 sckiit-learn sckit-image

Last synced: 08 May 2026

https://github.com/khushi130404/k_means

This repository showcases 2D, 3D, and custom K-Means clustering models with visualizations. It includes both Jupyter notebooks and Python scripts for ease of reproducibility.

clustering-algorithm k-means-clustering numpy plotly sklearn

Last synced: 08 May 2026

https://github.com/djdhairya/wine-quality-detetction

csv data-science datacollection datapreprocessing datavisualization heatmap machine-learning model numpy pandas random-forest

Last synced: 08 May 2026

https://github.com/gama1903/digital_image_processing

Implementation of Basic Algorithms of Digital Image Processing mainly through Numpy.

digital-image-processing numpy opencv python

Last synced: 08 May 2026

https://github.com/chdl17/imdb-assignment

This GitHub repository contains a project that performs an analysis of the IMDb movie rating dataset. The data is used to explore the relationships between various features and the movie rating. Visualizations are used to illustrate the results of the analysis. The code is organized into a Jupyter Notebook file and data files.

numpy pandas-dataframe python

Last synced: 08 May 2026