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: 2026-02-06 00:23:20 UTC
- JSON Representation
https://github.com/haloapping/sharing-tipis-tipis
#sharingtipistipis 📗 catatan ketika belajar machine learning, deep learning dan masih banyak lagi.
caring deep-learning machine-learning numpy pandas scikit sharing
Last synced: 24 Feb 2025
https://github.com/haloapping/ml-workflow
Template alur kerja machine learning.
mahine-learning numpy pandas python3 scikit-learn
Last synced: 20 Jul 2025
https://github.com/aryansk/fake-news-detection
A sophisticated machine learning solution to detect fake news using multiple classification algorithms. Identify the credibility of news articles with advanced text analysis techniques!
fake-news-detection machine-learning machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn
Last synced: 30 Dec 2025
https://github.com/karan-malik/fakenewsdetection
Using Machine Learning and NLP to segregate the unreliable and reliable news articles
artificial-intelligence fake-news fakenewsdetection machine-learning machine-learning-algorithms natural-language-processing news nlp nlp-machine-learning numpy python python3 scikit-learn scikitlearn-machine-learning
Last synced: 04 Mar 2025
https://github.com/artikumari28/movie-recommender-system
This project is a content-based movie recommendation system, where movies are recommended based on their similarity in content. The system analyzes various features such as genres, cast, and descriptions to suggest similar movies.
google-colab machine-learning nltk numpy pandas pickle scikit-learn streamlit
Last synced: 30 Dec 2025
https://github.com/sehgalnaval/olympics-data-analysis
I will be building an Olympics Data Analysis Web Application using Streamlit. For development, I will be using Python and Pandas. For plotting, I will be using Seaborn and Plotly libraries. The project will also be deployed to Heroku.
heroku jupyter-notebook matplotlib numpy pandas pycharm python seaborn
Last synced: 30 Dec 2025
https://github.com/m-faizan-mahmood/detailed-exploratory-data-analysis-eda-marketing-recomendations.
This project focuses on cleaning, preprocessing, and analyzing data using Pandas and NumPy. Key steps include handling missing values, removing outliers, feature engineering, and exploratory data analysis (EDA). Visualizations with Matplotlib and Seaborn highlight trends in customer spending, campaign performance, and product sales.
big-data data-analysis data-processing data-science eda exploratory-data-analysis numpy pandas python
Last synced: 30 Dec 2025
https://github.com/docsallover/spam-detection
Building a Spam Filter with Python: Using Machine Learning to Combat Spam
datascience flask jinja2 machine-learning numpy numpy-library pandas pandas-python python python3 scikit-learn
Last synced: 30 Dec 2025
https://github.com/avijit-jana/used-car-price-prediction
A Streamlit-based application utilizing machine learning to predict used car prices based on features like make, model, year, fuel type, and transmission, enhancing customer experience and streamlining the pricing process.
carpriceprediction data-science jupyter-notebooks machine-learning numpy pandas pickle pricing-data-science python3 streamlit streamlit-webapp webapplication
Last synced: 30 Dec 2025
https://github.com/martincastroalvarez/python-recommender-systems
Recommender systems with numpy.
clustering condorcet-voting numpy recommender-system
Last synced: 08 Apr 2025
https://github.com/safo-samson/data_mining-and-analytics
This data mining and analytics project focus on unraveling crucial insights related to road safety using a comprehensive dataset. This dataset encompasses diverse details, including the count of vehicles involved, the number of casualties, and the severity of accidents.
anaconda jupyter-notebook numpy pandas python3
Last synced: 25 Feb 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/indiebot
A basic chatbot which answers questions based on history of India
chatbot jupyter-notebook nlp nltk numpy python3 sckit-learn
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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/simran1002/strip-analyzer
The Strip Color Identification is used to analyze images of urine strips uploaded by users. Using computer vision techniques, particularly leveraging OpenCV, the interface identifies and extracts the colors present on the strip.
flask multer nodejs numpy opencv python reactjs
Last synced: 14 Mar 2025
https://github.com/stephenhky/npdict
Python Package for Dictionary Wrappers for Numpy Arrays
Last synced: 20 Jan 2026
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
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https://github.com/ashar97/financial-engineering
Financial Engineering Practicum Assignments
financial-engineering matlab numpy pandas python r yahoo-finance
Last synced: 28 Feb 2025
https://github.com/jmcheon/python_piscine
This is Python Piscine(Bootcamp) at Ecole 42
bootcamp matplotlib numpy pandas piscine python3 seaborn
Last synced: 31 Dec 2025
https://github.com/drill-n-bass/data-analysis-projects
Projects related to my Data Analyst path.
analysis data-analysis data-visualization matplotlib matplotlib-pyplot mysql mysql-database numpy pandas pandas-dataframe pandas-library pandas-python python python3 seaborn seaborn-plots static-analysis statistics
Last synced: 01 Sep 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
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https://github.com/guifernandess7/megasena-estatisticas-e-analises
Análises e Estatísticas dos jogos da megasena com base em todos os jogos que já ocorreram.
Last synced: 14 Jun 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/fabrizio-ottati/misha
Simple and fast decoding of event cameras data to NumPy
c cpp event-ca neuromorphic 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
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https://github.com/antoniojcosta/calculus-exercises
Numerical Calculus exercises solved using python.
calculus calculus-course fraction jupyter-notebook mathematics matplotlib numpy phisics python sympy
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https://github.com/dogan-the-analyst/social_media_data_analysis
Data analysis with Python.
data-analysis jupyter-notebook matplotlib numpy pandas python
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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.
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Last synced: 26 Feb 2025
https://github.com/moustafamohamed01/moustafamohamed01
Software Engineering Student | Specializing in Machine Learning, Deep Learning, and Generative AI
artificial-intelligence artificial-neural-networks config convolutional-neural-networks data-analysis data-science data-visualization deep-learning keras machine-learning matplotlib natural-language-processing numpy pandas python pytorch recurrent-neural-networks scikit-learn seaborn tensorflow
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https://github.com/arif-miad/email-spam-classification-project
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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
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https://github.com/lintangwisesa/python_recommendation_system
Basic recommendation system using Python & Sklearn
numpy pandas python recommendation-system sklearn
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https://github.com/ayuhamaro/py_weight_estimation
體重變化預估
matplotlib numpy pandas python3 scikit-learn scipy
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https://github.com/sizzlins/kalkulator-ai
A Simple Command Line Input Symbolic Regression Engine and Computer Algebra System (CAS) capable of discovering the laws of the universe, solving calculus, algebra, and trigonometrics.
calculator calculus cli computer-algebra-system curve-fitting machine-learning mathematics numpy physics python scientific-computing scikit-learn sparse-regression symbolic-regression sympy
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https://github.com/rcghpge/pymo
A framework in Mojo for AI/ML/DL applications and other domains.
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Last synced: 15 Mar 2025
https://github.com/jbayardo/aa-tp1
Machine learning on spam
email-classifier jupyter-notebook numpy pandas python scikit-learn spam-filtering text-processing
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https://github.com/tejasvi541/machine-learning
My Machine and Deep Learning Practice and Projects Notebooks
matplotlib numpy python3 pytorch sklearn tensorflow
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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
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https://github.com/shahinuralambhuiyan/learning-ml
Start learning Machine Learning basic from CodeBasics Channel
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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.
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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/xushiyan/udacity-machine-learning
Content for Udacity's Machine Learning curriculum
jupyter-notebook machine-learning numpy pandas python reinforcement-learning scikit-learn supervised-learning udacity-machine-learning unsupervised-learning
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https://github.com/drewstone/katz-centrality
Katz centrality of a wheelgraph
centrality graphs networks numpy
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https://github.com/prahaladhchandrahasan/decision_tree_internship_tsf
Decssion tree algorithm was applied on the Iris Dataset . One of my submissions for the TSF's GRIP internship, October 2020.
decision-tree-classifier matplotlib-pyplot numpy pandas python3
Last synced: 30 Mar 2025
https://github.com/simran2911/restaurant_rating_pridiction
This github repository have restaurant rating analysis and understand what contributes to high or low ratings on the platform and how these insights can be leveraged for business decision-making.
jupyter-notebook machine-learning numpy pandas powerbi python sklearn statistics tableau
Last synced: 12 Oct 2025
https://github.com/rickydoan/machine-learning-risk-model-prediction-classification
This project leverages machine learning to provide insights into loan and credit risk. By analyzing user-provided financial data, it predicts the likelihood of loan default, generates a credit score, and assigns a risk rating. Designed to assist financial institutions and individuals in making informed decisions
classification joblib machine-learning numpy pandas python sklearn-library streamlit
Last synced: 05 May 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
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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/narenkhatwani/arkouda-projects
This repository contains the source codes of the projects done using Arkouda (a software package that allows a user to interactively issue massive parallel computations on distributed data using functions and syntax that mimic NumPy, the underlying computational library used in most Python data science workflows.)
arkouda data-analysis data-analytics data-science high-performance high-performance-computing highperformancecomputing numpy pandas parallel-computing parallel-processing parallelization python
Last synced: 30 Mar 2025
https://github.com/codeasarjun/_easy_machine_learning
This repo contains a comprehensive tutorial on machine learning with practical implementations and examples using Python.
artificial-intelligence clustering deep-learning jupyter-notebook machine-learning machine-learning-algorithms modelevaluation neural-network numpy pandas preprocessing python python3 regression scipy supervised-learning supervised-machine-learning unsupervised-learning unsupervised-machine-learning
Last synced: 05 Mar 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/prithivsakthiur/qwen-image-edit-2509-loras-fast
Qwen-Image-Edit-2509-LoRAs-Fast is a high-performance, user-friendly web application built with Gradio that leverages the advanced Qwen/Qwen-Image-Edit-2509 model from Hugging Face for seamless image editing tasks.
aoti diffusers diffusion-models flash-attention-3 huggingface-spaces huggingface-transformers kernel numpy peft python pytorch qwen-image-edit qwen-image-edit-2509 qwen2-5-vl qwen3-vl torch torchvision
Last synced: 18 Nov 2025
https://github.com/aahad91/idv
Interactive Data Visualization - Master Course
matplotlib numpy pandas plotly python3
Last synced: 03 Mar 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/sidsurakanti/mnist-classification
mnist digit classification from scratch w/ only numpy and maths
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/nishchal-kansara/courses-infosys
Courses by Infosys SpringBoard
assignment-solutions course infosys infosys-springboard learning matplotlib numpy pandas practice python python3 scikit-learn
Last synced: 30 Dec 2025
https://github.com/bestmahdi2/uni__geneticprogrammingfunctionapproximation
In this university project, genetic programming is used to approximate the function
function-approximation genetic-algorithm genetic-programming matplotlib numpy python tqdm
Last synced: 08 Mar 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/rooneyrulz/movie-recommender-system
Movie recommendation system using Machine learning
cosine-similarity jupyer-notebook machine-learning movie-recomendation-system numpy pandas python3 recomender-system vectorization
Last synced: 23 Mar 2025
https://github.com/realamirhe/leaf-node
A leaf node for your machine learning journey, from scratch to practical applications...
algorithm auto-encoder classification cybernetics feature-extraction feedback-mechanism lda learning machine-learning machine-learning-journey numpy pca practice regression scikit-learn sklearn smlfdl
Last synced: 07 Apr 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/awrsha/principal-component-analysis
Dimension reduction in Python
image-processing matplotlib numpy pillow python
Last synced: 02 Sep 2025
https://github.com/apoorva-info/eye-blink-detetction
Blink Detector Sensitive to Facial Orientation
mediapipe numpy opencv python3
Last synced: 23 Mar 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/enjirouz/intelligentsystems
Expert systems examples: production type expert systems with direct and reverse logical conclusion; numpy perceptron; numpy neural network trained on logic AND operation; convolutional neural network for image recognition using cifar10 dataset and keras
cifar10 classification cnn convolutional-neural-network expert-systems image-classification image-recognition keras-tensorflow numpy
Last synced: 06 Mar 2025
https://github.com/ibz-04/number-plate-recognition
Vehicle number plate recognition using computer vision and image processing
anpr computer-vision easyocr matplotlib-python numpy object-detection opencv
Last synced: 04 Apr 2025
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/mattia-hulathduwage/image-dehazing-tool
An image dehazing tool built with Python, OpenCV, and NumPy to enhance visual clarity in hazy images, featuring real-time processing and a user-friendly interface for saving dehazed results.
Last synced: 15 Mar 2025
https://github.com/miltiadiss/ceid_ne562-data-mining-and-machine-learning-algorithms
This project involves analyzing a dataset through statistics and visualizations to uncover patterns & correlations. It trains classifiers (Neural Networks, Random Forests, Bayesian Networks) to predict physical activities and evaluates their performance. Finally, it clusters participants' activities using 2 algorithms, comparing their effectivenes.
matplotlib numpy pandas seaborn sklearn sklearn-metrics
Last synced: 23 Mar 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/bl33h/relations
A program for relation analysis and matrix operations using numpy. It determines relation types and performs matrix computations.
discrete-mathematics matrix matrix-operations numpy python relations
Last synced: 02 Sep 2025
https://github.com/pradipece/two_dimensional_data_visualization
This repository for different kinds of Data science and Machine learning project
data-science data-visualization jupyter-notebook machine-learning matplotlib numpy pandas python seaborn sklearn statistics
Last synced: 30 Dec 2025
https://github.com/adityashinde716/liam-the-healthcare-chatbot
Made a healthcare chatbot Liam which will help you to detect your health problem and gives precautions.
csv numpy pandas python python3 random random-forest random-forest-classifier requests sklearn sklearn-library sklearn-model
Last synced: 19 Nov 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-lfp-signalanalysis
This project is part of the Neuroscience of Learning, Memory, Cognition course. The goal of this assignment is to introduce students to Local Field Potential (LFP) signals, which are critical for understanding brain activity at a local neuronal level.
jupiter-notebook lfp-analysis matplotlib numpy signal-processing
Last synced: 10 Nov 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/m-rishab/housing-price-prediction
The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.
gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn
Last synced: 15 Mar 2025
https://github.com/mathpfreitas/top-hits-spotify-2000-to-2019-
# 🎧 Top Hits Spotify (2000 - 2019)Explore music trends from 2000 to 2019 with this dataset of songs, artists, and genres. Use the insights to understand what makes a hit in today's music landscape. 🐙💻
analysis analytics chart data-analysis data-visualization exploratory-data-analysis hits interactivedashboards jupyter-notebook matplotlib music musical numpy pandas plotly python timeseries track-hits
Last synced: 01 Jul 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/yogeshnile/ipl-first-inning-score-prediction
In this repo I have develop a first innings score prediction in ipl using machine learning.
ipl linear-regression machine-learning numpy pandas prediction python3 seaborn sklearn
Last synced: 27 Feb 2025
https://github.com/aarryasutar/linear_multivariate_regression_on_football_statistics
Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.
datasets feature-selection football-stats linear-reg machine-learning mae mse multivariate-regression numpy pandas rmse scatter-plot train-test-split
Last synced: 27 Jun 2025
https://github.com/aarryasutar/hate_speech_detection
This project aims to detect hate speech on Twitter using advanced NLP and machine learning techniques, exploring feature extraction methods like TF-IDF and sentiment analysis, and evaluating models such as Logistic Regression and SVM.
confusion-matrix doc2vec gensim logistic-regression matplotlib naive-bayes nltk numpy pandas python random-forest scikit-learn seaborn stemming stopwords-removal svm tf-idf-vectorizer tokenization vader word-cloud
Last synced: 30 Dec 2025
https://github.com/camilajaviera91/apache-beam-pipeline-first-approach
This code demonstrates how to integrate Apache Beam with scikit-learn datasets and perform simple data transformations. It loads the Linnerud dataset from scikit-learn, converts it into a Pandas DataFrame for easier manipulation.
apache-beam dataframes glob kmeans-clustering matplotlib-pyplot mean-absolute-error mean-square-error numpy os pandas pipelines scipy-stats seaborn silhouette-score sklearn sklearn-datasets standardscaler
Last synced: 04 Oct 2025
https://github.com/shanmukhsrisaivedullapalli/cifar10
This project uses TensorFlow to classify images from the CIFAR-10 dataset. It compares the performance of an Artificial Neural Network (ANN) and a Convolutional Neural Network (CNN), covering data preprocessing, model training, evaluation, and prediction on new images.
cifar10-classification cnn-classification matplotlib neural-networks numpy pickle pillow python3 tensorflow
Last synced: 03 Feb 2026
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/rixiiz/knn-model-to-predict-the-obp-of-mlb-players
A machine learning model I built that can predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season
artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning
Last synced: 01 Jul 2025
