NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-01-30 00:22:30 UTC
- JSON Representation
https://github.com/asut00/machine-learning-program_42ai
Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.
linear-regression machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 06 Apr 2025
https://github.com/zacheddy/imageclassifier
A convolutional neural network from scratch to classify images (demo available)
image-classifier machine-learning neural-network numpy
Last synced: 05 Aug 2025
https://github.com/earth-app/doc2lora
Generate LoRA Adapters from documents
ai cloudflare-ai cloudflare-workers lora numpy py python torch
Last synced: 23 Jul 2025
https://github.com/nitsc/spell-from-threebodytrilogy
Implemented the process of extrapolating from Gaia stellar data, to 3D visualizations, to three-views, to three-view signals, to three-view audio of signals, and even their inversions. This project proves the feasibility of the Logic (Luoji)'s “spell” from “The Three Body Problem” trilogy.
3d 3d-graphics astronomy astronomy-astrophysics audio audio-processing data data-science data-visualization gaia graph information-technology information-visualization numpy python python-3 python3 signal signal-processing visiualization
Last synced: 05 Apr 2025
https://github.com/theanujsinha01/rainfall-prediction-using-machine-learning
This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.
classification data-analysis eda machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn supervised-learning
Last synced: 28 Jun 2025
https://github.com/furukidesu/crop-disease-identification-model
A deep learning-based system for identifying crop diseases from images, helping farmers detect and manage crop health issues for improved yield and quality.
android cnn convolutional-neural-networks cv deep-learning hacktoberfest jetpack-compose knn numpy plant-disease-identification random-forest streamlit tensorflow tensorflow-lite
Last synced: 23 Jul 2025
https://github.com/rakibhhridoy/exploratorydataanalysis-python
Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
ab-testing chitest data-science eda exploratory-data-analysis ftest hypotheses hypothesis-testing inferential-statistics numpy pandas python statistical-analysis statistics statsmodels ttest
Last synced: 14 May 2025
https://github.com/nguyenanhtuan1912/computer_vision_exercises
Trong này sẽ chứa các file source về bài tập Computer Vision.
computer-vision numpy opencv python
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https://github.com/antonvagabond/maze
Operation and functionality of two mazes.
matplotlib maze numpy pillow python python3
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https://github.com/mdaffailhami/data_science_speedrun_journey
This repository contains notebooks and projects related to my data science speedrun journey.
algebra artificial-intelligence data-analysis data-analyst data-science data-scientist jupyter-notebook machine-learning math mathematics numpy pandas postgresql probability python statistics
Last synced: 30 Dec 2025
https://github.com/kirkalyn13/opensignal_autogenerate_report
Script used to generate results/summary, including the trends of flagged provinces, from the raw excel data file,
data-analysis data-science data-visualization matplotlib numpy pandas python
Last synced: 05 Mar 2025
https://github.com/nikorasu/nantarray
An array-based cellular-automata implementation of my ant pheromone simulation!
ant-colony ant-colony-optimization ant-colony-simulation ant-simulation ants ants-simulator array cellular-automata emergent-behavior numpy numpy-arrays pheromone pheromones python python3 simulation swarm-intelligence trails
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https://github.com/ashraf-khabar/funcplot-plottingfunctionsmadeeasy
FuncPlot is a user-friendly app built with Kivy and KivyMD that allows you to easily plot and visualize mathematical functions on your desktop or mobile device. With its intuitive interface and support for multiple functions, FuncPlot makes it easy to explore and understand complex mathematical concepts.
kivy kivymd matplotlib numpy python
Last synced: 14 Mar 2025
https://github.com/nehalmr/qiksit-fall-fest-hackathon-2024
The Qiskit Hackathon is a unique opportunity for students to dive into the fascinating world of quantum computing. Participants will collaborate in teams to tackle a series of challenging problems that test their creativity, problem-solving skills, and understanding of quantum algorithms. This hackathon aims to inspire innovation in QC.
cpython hackathon ibm ibm-qiskit ibm-quantum-challenge matplotlib numpy python python3 qbits qiskit qiskit-tutorial quantum-algorithms quantum-computing quantumcircuits quantumregister
Last synced: 20 Jun 2025
https://github.com/rex-8/mnist-4-layer
Implementing a 4 layer neural to identify digits from a 28x28 grid using just python and numpy
backward-propagation deep-learning forward-propagation loss-functions machine-learning mnist-classification neural-network numpy python relu-network
Last synced: 23 Jul 2025
https://github.com/yashodatta15/top-250-anime-2023-eda
anime eda matplotlib movies numpy pandas python seaborn
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https://github.com/ngirimana/ml_knn
Welcome to the KNN Project! This will be a simple project very similar to the lecture, except you'll be given another data set. Go ahead and just follow the directions below.
artificial-intelligence knn-algorithm knn-classification knn-classifier machine-learning matplotlib numpy pandas python3 searbon
Last synced: 24 Jul 2025
https://github.com/simipk12/eda-healthcare-project
Healthcare Insurance Cost Analysis This project analyzes the Healthcare Insurance dataset to explore factors that influence medical charges. The goal is to identify key drivers of insurance costs, detect outliers, and provide actionable insights for individuals, insurance companies, and policymakers.
eda matplotlib numpy pandas python seaborn
Last synced: 18 Sep 2025
https://github.com/sumitgirwal/drinks-dataset-data-analysis
A drinks dataset from Kaggle. Applying analysis using Python, NumPy, Pandas, Matplotlib.
dataanalysis drinks-dataset kaggle matplotlib numpy pandas python3
Last synced: 16 Oct 2025
https://github.com/weisscharlesj/SciCompChem_Experimental
Scientific Computing for Chemists Jupyter Book
book chemistry jupyter jupyter-lab matplot nmrglue numpy pandas python scikit-image scikit-learn scipy seaborn textbook
Last synced: 07 Nov 2025
https://github.com/korolev2512/compliance-audit
Program for optimizing a set of activities based on network planning and management methods
copy matplotlib networkx numpy openpyxl os pandas python3 tkinter
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https://github.com/nemeslaszlo/titanic-logistic-regression
This notebook covers a simple analysis with logistic regression on the popular titanic dataset.
cufflinks jupyter-notebook logistic-regression matplotlib numpy pandas plotly seaborn sklearn
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https://github.com/quantum-software-development/qiskit
qiskit circuits on IBM Quantum
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https://github.com/lgeiger/mypy-einsum
MyPy Type Checking for NumPy/Jax/PyTorch Einsum Operations
deep-learning einsum jax mypy mypy-plugins numpy pytorch
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https://github.com/elhariri78/case-study-a-better-smoker-detector
Case Study-A better Smoker Detector
data dataframe evaluation kaggle matplotlib-pyplot numpy pandas pandas-dataframe pandas-python python3 seaborn sklearn
Last synced: 31 Jul 2025
https://github.com/l-johnston/microohm
SI unit system in Numpy as native dtype
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https://github.com/rakibhhridoy/imageprocessing
Large amount of image processing is quite messy and time consuming,thus the working steps should be fast as well as accurate also. I've made sequential functions that is needed for processing data in TensorFlow and python. These functions made my work fast as it needed in commercial purposes.
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https://github.com/adalbertobrant/macd
Estudando sobre o uso do streamlit com geração de gráficos e dados da B3
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https://github.com/ahlem-phantom/django-travel-agency
Travel Agency website built using Django, designed for browsing and booking of travel packages.
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https://github.com/socrats/tscluster
Clustering time-series
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https://github.com/emmanuelezenwere/aind-aiprojects
Portfolio of AI projects developed during my Udacity AI Nanodegree, covering Planning AI, Constraint Satisfaction, Hidden Markov Models, and Search algorithms.
alpha-beta-pruning astar-algorithm bellman-equation breadth-first-search constraint-satisfaction-problem depth-first-search hidden-markov-model kalman-filter minmax-algorithm networkx nltk numpy pandas scikit-learn scipy sympy
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https://github.com/heisenberg141/deep-learning-from-scratch
In this repository, I have showcased implementation of deep learning methodologies and architectures using Python and Numpy
algorithms binary-classification computer-vision data-science deep-learning deep-neural-networks implementation machine-learning multi-class-classification neural-network numpy python regression-models
Last synced: 04 Aug 2025
https://github.com/py-mp3/boston-comparing-regression-modules
A ipynb file that compares different regression modules in the sk.learnit library.
ipython-notebook numpy pandas python regression-models seaborn sklearn
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https://github.com/grampers-dev/co2oracle
The CO2 Oracle project uses machine learning and AI to analyze and predict CO2 emissions for environmental management. Using a Kaggle dataset, it demonstrates predictive analytics to understand and forecast emissions. Written in Python, it employs libraries like Pandas, NumPy, and Scikit-Learn.
artificial-intelligence machine-learning numpy pandas python scikit-learn
Last synced: 08 Aug 2025
https://github.com/aakashks/ct-reconstruction-2d
Python Implementation of Computed Tomography (CT) reconstruction for 2D images
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https://github.com/snehilsanyal/ee524
Course webpage for IIT Guwahati EE524 Machine Learning Lab (Jul-Nov 2020) Session
course-webpage machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 10 Aug 2025
https://github.com/chandadiya2004/mnist-digit-classification
This repository demonstrates MNIST digit classification using deep learning. It includes a neural network model built with frameworks like TensorFlow to classify handwritten digits (0-9) from the MNIST dataset. The project covers data loading, preprocessing, model training, evaluation, and accuracy visualization.
confusion-matrix cv2 google-colab-patches keras matplotlib-pyplot numpy pillow python seaborn tensorflow
Last synced: 29 Aug 2025
https://github.com/zazi2002/neuroscience-reinforcement-learning
Neuroscience of Learning, Memory, Cognition project, containing a Jupyter notebook implementing a reinforcement learning approach for a neuroscience-related task.
deep-learning matplotlib numpy pytorch reinforcement-learning
Last synced: 10 Nov 2025
https://github.com/mrtarantoga/mdl-density-histogram
Cython-accelerated MDL histogram density estimation. Implements Kontkanen & Myllymaki's dynamic programming algorithm for optimal variable-width bins, parametric complexity with Ramanujan approximations, and automatic bin count selection. Based on "MDL Histogram Density Estimation" (JMLR 2007).
cython-library mdl numpy pypi-package python3
Last synced: 30 Nov 2025
https://github.com/priyanshgoantiya/ml-from-scratch-without-sklearn
This repository contains machine learning algorithms implemented from scratch using only NumPy—without relying on scikit-learn or other high-level ML libraries. The goal is to provide a deeper understanding of how fundamental machine learning models work under the hood by implementing them step by step.
Last synced: 16 Aug 2025
https://github.com/garcane/income-prediction-ml
This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.
data data-science machine-learning ml numpy pandas python random-forest scikit-learn
Last synced: 30 Dec 2025
https://github.com/isurusenarath1/weather-prediction-ml-model
Weather Prediction Using KNN
jupyter-notebook numpy pandas python
Last synced: 20 Aug 2025
https://github.com/amari-calipso/papers-please-tasbot
A "Papers, Please" TASbot that offers a programmable interface with the game
cython game-bot games image-processing numpy papers-please papersplease python python3 tas tool-assisted-speedrun
Last synced: 11 Sep 2025
https://github.com/thevarunsharma/similar-word-finder
A web application with Python backend which finds words similar to a given word, using pre-trained GloVe word embeddings.
flask-application machine-learning nlp numpy python word-embeddings
Last synced: 23 Aug 2025
https://github.com/npodlozhniy/portugal-taxes
Portugal tax console calculator for 2023
Last synced: 25 Aug 2025
https://github.com/carlosvinimsouza/dataanalysiswithpython
Learn Data Analysis using Libs Python (Numpy, Pandas, Matplotlib and Seaborn)
data-analysis data-science free-code-camp matplotlib numpy pandas python python3 seaborn
Last synced: 28 Aug 2025
https://github.com/kunalshelke90/predict-bank-credit-risk-using-south-german-credit-data
This is an end-to-end ML project, which aims at developing a classification model for the problem of classifying a given customer profile into either of the risk category (safe or not safe). The final classifier used for this project is CatBoost classifier. Deployed in AWS.
aws cassandra catboost-classifier classification credit-risk data data-science dataanalysis dockerfile finance financial-analysis flask github-actions logging machine-learning mlflow numpy pandas python
Last synced: 03 Jan 2026
https://github.com/prakharrr/skewangledetection
A function that returns correction angle of a skewed quadrilateral inside an image.
image-processing numpy python3
Last synced: 12 Apr 2025
https://github.com/sudipbishwakarma/bulk-remove-onesignal-users
Bulk remove OneSignal subscribed users blazingly faster with parallel processing.
numpy pandas python python-logger python-multiprocessing python-threading python3
Last synced: 30 Mar 2025
https://github.com/alibowndyn/flickerforge
A customizable image and GIF generator mimicking old television static, offering control over colors, blur, dimensions, pixel size, and many more.
Last synced: 22 Mar 2025
https://github.com/khaymanii/parkinsons-disease-detection-model
This model was built with Python and Support Vector Machine Algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 14 Mar 2025
https://github.com/khaymanii/diabetes_prediction_model
This is a Machine learning model built using Python
matplotlib numpy pandas python scikit-learn
Last synced: 14 Mar 2025
https://github.com/mattdelaune/saas_cohort_analysis
This project analyzes customer segmentation and behavior using data science and cohort analysis. Key metrics like CRR, NRR, CLR, and CLV are examined through detailed charts, including the cohort layer cake and CLR vs. CLV cost efficiency analysis. Exploratory Data Analysis and systematic data manipulation reveal actionable insights.
anaconda git jupyter-notebook matplotlib numpy pandas python saas-data sales-data sales-data-analysis-project seaborn
Last synced: 03 Jan 2026
https://github.com/cusyio/datenverarbeitung-mit-numpy
Kurs zum Schreiben und Optimieren eigener Programme zur Datenverarbeitung mit Numpy.
Last synced: 25 Feb 2025
https://github.com/georgiivoyakin/mirea-big-data
Python Big Data programming tasks for institute
apriori-algorithm apriori-algorithm-python fpgrowth jupyter-notebook numpy pandas plotly python python3 scipy sklearn
Last synced: 29 Jun 2025
https://github.com/1-harshit/cs203-probabality-in-cs
Assignment submissions of the semester 2021-22-II of course CS203 at IIT Kanpur
Last synced: 14 Mar 2025
https://github.com/nvinayvarma189/deep-learning-with-tensorflow
This repo consists all the basics of tensorflow and all major Deep Learning algorithms and techniques implemented in tensorflow. It will explain you the basics of tensorflow. You can visualize how tensors flow through a grapg while you create one
autoencoder cnn deep-learning gan matplotlib neural-network numpy pandas python3 reinforcement-learning rnn tensorflow
Last synced: 30 Dec 2025
https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing
Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts
colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn
Last synced: 31 Dec 2025
https://github.com/prashver/customer-segmentation
This project utilizes unsupervised machine learning to segment bank customers for targeted marketing campaigns. It covers tasks like data exploration, determining optimal clusters, and applying k-means for segmentation. Ideal for marketing departments in banking and retail industries.
customer-segmentation matplotlib numpy pandas seaborn sklearn
Last synced: 31 Dec 2025
https://github.com/mramshaw/ml_with_missing_data
How to handle missing or incomplete data
incomplete-data machine-learning matplotlib ml numpy pandas python python3 scikit-learn seaborn sklearn
Last synced: 26 Dec 2025
https://github.com/rhazra-003/plotting_practice
Plotting using matplotlib and numpy
jupyter-notebook matplotlib numpy plotting-in-python python statistics
Last synced: 20 Mar 2025
https://github.com/bhavyemathur/redstone-ml
High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust
autograd-engine linear-algebra machine-learning numpy pytorch tensor
Last synced: 29 Jun 2025
https://github.com/moinak-majumdar/fake-currency-detection
Indian fake currency detecting mobile application.
cnn deep-learning flutter getx keras machine-learning mobile-app neural-network numpy random-forest scikit-learn support-vector-machines tensorflow
Last synced: 30 Mar 2025
https://github.com/hamolicious/inversekinematics
Inverse Kinematics implementation in Python and PyGame
inverse-kinematics numpy pygame python
Last synced: 09 Aug 2025
https://github.com/nikhilroxtomar/introduction-to-numpy
A list of jupyter notebook explaining the various functions and properties of Numpy.
Last synced: 06 Mar 2025
https://github.com/i-am-nolan25/bells-palsy-ml-research
A Machine Learning Model to Grade the Severity of Bell's Palsy
artificial-intelligence dlib healthtech jupyter-notebook machine-learning matplotlib numpy opencv pandas python research scikit-learn scipy
Last synced: 06 Mar 2025
https://github.com/antoniojcosta/calculus-exercises
Numerical Calculus exercises solved using python.
calculus calculus-course fraction jupyter-notebook mathematics matplotlib numpy phisics python sympy
Last synced: 08 Aug 2025
https://github.com/dogan-the-analyst/social_media_data_analysis
Data analysis with Python.
data-analysis jupyter-notebook matplotlib numpy pandas python
Last synced: 25 Feb 2025
https://github.com/simran2911/flight-price-pridiction
This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.
accuracy-score catboostregressor machine-learning matplotlib numpy pandas r2-score random-forest-regression seaborn xgboost-regression
Last synced: 26 Feb 2025
https://github.com/tritonix711/digitvision-number-predictor
"DigitVision: Number Predictor" is a deep learning project that uses a Convolutional Neural Network (CNN) to classify handwritten digits (0-9) from images. Built with Python and TensorFlow, it supports dataset preprocessing, model training, evaluation, and predictions, offering a scalable and accurate solution for digit recognition tasks.
cnn keras matplotlib numpy os pillow plt python tensorflow tkinter
Last synced: 06 Mar 2025
https://github.com/rcghpge/pymo
A framework in Mojo for AI/ML/DL applications and other domains.
deep-learning deep-neural-networks machine-learning machine-learning-models magic-cli max-gpu modular mojo mojo-language numpy pandas pymo python python-language scikit-learn
Last synced: 15 Mar 2025
https://github.com/jabhij/eda_experiments
In this repo I'll use different types of datasets to explore and implement various Exploratory Data Analysis (EDA) approaches.
ames-housing analysis battery-life blackfriday-analysis data-analysis data-science data-visualization eda matplotlib-pyplot numpy pandas python seaborn visualization zomato-data-analysis
Last synced: 06 Mar 2025
https://github.com/michaelradu/computational-physics
A collection of Jupyter notebooks demonstrating the use of Python to solve classical and modern physics problems through computational modeling.
computational-model computational-modeling computational-physics education educational jupyter jupyter-notebook latex matplotlib notebook notebooks numerical-analysis numerical-methods numpy physics physics-analysis physics-simulation python scikit-learn
Last synced: 07 Apr 2025
https://github.com/shibam120302/plant_deseases_prediction
Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control.
Last synced: 15 Mar 2025
https://github.com/g-eoj/cv-tl-keras
Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.
cross-validation keras numpy scikit-learn transfer-learning
Last synced: 15 Mar 2025
https://github.com/oneblack333/amazon-sales-analysis
A MySQL project for Amazon sales analysis covering product, sales, and customer insights.
analysis jupyter-notebook mysql numpy panda ppt
Last synced: 25 Feb 2025
https://github.com/pradeepkumaryenni/my-projects
Data, Visualized - Unlocking the power of data through stunning visualizations. Check out my Power BI projects. Your Data, Your Story - Let's tell compelling stories with data. Explore my Power BI projects.
azure chatgpt dax-languague exce matplotlib-python numpy powerbi-visuals powerqu sql
Last synced: 07 Apr 2025
https://github.com/sumonta056/bangladeshi-vehicle-number-plate-detection
Image Processing Pipeline: Enhance, rotate, extract features, and segment characters in images for text recognition and enhancement.
candy-edge connected-components edge-detection grayscale-images morphological-analysis numpy opencv python radon-transform scikit-image sobel-edge-detector
Last synced: 07 Sep 2025
https://github.com/hklyousfi/cyberxnoteloom
Hybrid piano synthesizer with ADSR envelopes, resonance modeling, and MIDI rendering
adsr-envelope digital-audio hybrid-synth midi-processor numpy piano-synthesizer python
Last synced: 16 Apr 2025
https://github.com/andrehaguiar/pos-graduacao-inteligecia_artificial-ciencia_de_dados
Cronograma do curso
ciencia-de-dados dados matplotlib-pyplot numpy orange pandas python scipy sklearn
Last synced: 09 Nov 2025
https://github.com/bestmahdi2/uni__pythonsupportvectormachinesbinaryclassification
A university project in which the binary classification of support vector machines is implemented with Python language
binary-classification classification matplotlib numpy python scikit-image scikit-learn seaborn support-vector-machine svm
Last synced: 31 Dec 2025
https://github.com/ryannapp12/quant_trading_engine
A modular, and scalable quantitative trading engine built in Python. This project demonstrates efficient data caching with SQLite, concurrent backtesting, and advanced risk analytics, showcasing best practices in clean code architecture and performance optimization.
algorithmic-trading backtesting dash data-analysis data-visualization fintech lstm machine-learning numpy pandas plotly python quantitative-finance real-time risk-management sqlite technical-analysis tensorflow time-series-analysis trading-strategies
Last synced: 30 Dec 2025
https://github.com/jayakrishnagaddam/deep_sheild_
This is a Machine Learning applied Artificial intelligence project. Deepsheild is a cutting-edge deepfake detection system designed to safeguard the integrity of visual content in an era where synthetic media poses unprecedented challenges. Deepsheild stands as a robust fortress against the proliferation of manipulated videos and images.
artificial-intelligence bootstrap css cv2 deep-learning flask html machine-learning mongodb numpy tensorflow torch
Last synced: 11 Jan 2026
https://github.com/asim-2000/machine-learning-projects-in-python
ensemble-model machine-learning matplotlib numpy pandas python sklearn
Last synced: 30 Dec 2025
https://github.com/ivangael/objects_detection_with_neural_network_training_visualization
Real-time Object Detection and Neural Network Training Visualization
keras matplotlib neural-network neural-network-training neural-network-visualizations numpy object-detection opencv python tensorflow ultralytics
Last synced: 28 Apr 2025
https://github.com/faisal-khann/diwali-sales-analysis
The "Diwali Sales Analysis" project aims to analyze the sales data during the Diwali festival period to uncover insights and trends that can help improve marketing strategies and sales performance in the future
csv data-analysis eda jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 23 Mar 2025
https://github.com/zazi2002/neuroscience-project-olfactory-signal
This project is part of the Neuroscience of Learning, Memory, Cognition course. The main objective is to analyze Local Field Potential (LFP) signals recorded from three different brain regions of an anesthetized rat while it performed an olfactory task.
frequency-analysis lfp-analysis matplotlib numpy scipy signal-processing
Last synced: 24 Jul 2025
https://github.com/sitamgithub-msit/maldetect
A Deep Learning application for Malaria Detection
comet-ml containers deep-learning docker efficientnetb0 experiment-tracking flask-api google-cloud-build google-cloud-platform google-cloud-run html-css-javascript keras-cv keras3 matplotlib numpy pytest python serverless tensorflow tensorflow-datasets
Last synced: 23 Mar 2025
https://github.com/nishkarsh25/end_to_end_real_estate_price_prediction_project
This data science project series walks through step by step process of how to build a real estate price prediction website. We will first build a model using sklearn and linear regression using banglore home prices dataset from kaggle.com. Second step would be to write a python flask server that uses the saved model to serve http requests....
css html javascript jupyter-notebook matplotlib numpy pandas python python-flask-server sklearn
Last synced: 15 Mar 2025
https://github.com/m-faizan-mahmood/house-price-prediction-machine-learning-model
Implemented a Multiple Linear Regression model to predict house prices based on square footage, number of bedrooms, and age of the house.
artificial-intelligence data-analysis data-science data-visualization machine-learning machine-learning-algorithms matplotlib neural-network numpy pandas predictive-modeling python regression-models seaborn sklearn
Last synced: 25 Dec 2025
https://github.com/virajbhutada/google-stock-price-forecasting-lstm
Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.
data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting
Last synced: 27 Feb 2025
https://github.com/mardavsj/weather-prediction
Weather prediction model which mainly focuses on visualization.
data-analysis data-visualization matplotlib numpy pandas pandas-dataframe
Last synced: 08 Apr 2025
https://github.com/ananupam/eda-titanic
An Exploratory Data Analysis project done on Titanic Dataset.
Last synced: 17 Apr 2025
https://github.com/nemeslaszlo/financial-crisis-effects-on-some-stocks
Focusing on bank stocks to see how they progressed throughout the 2008-09 financial crisis all the way to early 2016.
cufflinks jupyter-notebook matplotlib numpy pandas pandas-datareader plotly seaborn
Last synced: 24 Mar 2025
https://github.com/tynoee/movies-data-anlysis
This project explores a dataset of movies sourced from IMDb (via Kaggle) to uncover trends and insights about movie production, popularity, ratings, and more.
jupyter-notebook kaggle-dataset matplotlib numpy pandas python seaborn
Last synced: 01 Jul 2025
https://github.com/nmsby/pca-machine-learning-lab
Principal Component Analysis (PCA) implementation and analysis lab for Machine Learning. Features manual PCA implementation, scikit-learn applications, data compression, and feature extraction with detailed visualizations.
data-analysis dimensionality-reduction jupyter-notebook machine-learning numpy pca python scikit-learn visualization
Last synced: 01 Jul 2025
