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NumPy

NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

https://github.com/adriantomin/bulldozer-price-prediction

Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.

data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 10 Oct 2024

https://github.com/davgiles/ut-austin-data-science-program

This repository contains my projects from the Data Science & Business Analytics Post-Graduate Program through UT Austin.

eda matplotlib numpy pandas python scikit-learn scipy seaborn visualization xgboost

Last synced: 03 Nov 2024

https://github.com/szymon-budziak/real_estate_house_prices_prediction

Predicting real estate house prices using various machine learning algorithms, including data exploration, preprocessing, model training, and evaluation.

data-analysis data-preprocessing data-science eda jupyter-notebook machine-learning matplotlib numpy optuna pandas predictive-modeling price-prediction python random-forest regression scikit-learn seaborn

Last synced: 10 Oct 2024

https://github.com/alejoduarte23/si_bayesianmixturemodel

Implementation of a two-stage fast Bayesian system identification for separated Modes. This repository expands the usage of this technique by adding a mixture model fit to obtain modal parameters from the posterior distribution.

matplotlib numpy scikit-learn scipy

Last synced: 10 Oct 2024

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: 06 Nov 2024

https://github.com/mkdirer/depression-data-analysis

This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn are used to extract insights.

classification clustering matplotlib numpy pandas scikit-learn seaborn vizualization

Last synced: 10 Oct 2024

https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression

Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.

deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn

Last synced: 06 Nov 2024

https://github.com/rakibhhridoy/predictingsequence-timeseriesanalysis

Time series data easy handling purposes in TensorFlow and python functional programming. Time Series data is handled and pre-processed by different steps,like making window of the data,splitting data for model purpose is also different than other processing methods. All has combined for easy access.

forecasting functional-programming keras lstm lstm-neural-networks moving-average numpy python tensorflow time-series windowed

Last synced: 06 Nov 2024

https://github.com/bilgenurbekar/turkishcyberbullying

Contains fine-tuned BERT models and results in the text classification category using Turkish social media data

bert-fine-tuning huggingface-transformers matplotlib numpy pandas python pytorch scikit-learn transformers

Last synced: 10 Oct 2024

https://github.com/chaitanya1436/student_performance_analysis

A project focused on analyzing college student performance using data on department, assessment scores, and performance labels. Implemented in Google Colab, the analysis includes data preprocessing, feature scaling, and exploratory data analysis to uncover insights and prepare the data for further analysis or modeling.

ata-preprocessing data-preparation exploratory-data-analysis feature-scaling google-colab numpy pandas scikit-learn

Last synced: 03 Nov 2024

https://github.com/stella4444/linear-regression

learning about linear regression (currently a work in progress) ~ working with data

linear-regression machine-learning numpy scikit-learn

Last synced: 03 Nov 2024

https://github.com/darkdk123/handwashing-discovery-analysis

A Guided Project in a Boot camp to Analyse the Original Data used in the Discovery of Viruses & Hand Washing By Dr. Ignaz Semmelweis in Vienna General Hospital in the 1840s.

data-analysis data-science data-visualization matplotlib-pyplot numpy pandas plotly-python python seaborn-plots

Last synced: 07 Nov 2024

https://github.com/rohra-mehak/sciencesync

System for Personalized Google Scholar Alerts Processing and Data Management, and provision of ML based clustering analysis

agglomerative-clustering clustering crossref-api customtkinter google-api google-scholar graph-api machine-learning numpy pandas python3 scientific-article-analysis scikit-learn sqlite3

Last synced: 07 Nov 2024

https://github.com/alaazameldev/text-based-search-engine

Implementation of a search engine using TF-IDF and Word Embedding-based vectorization techniques for efficient document retrieval

chromadb fastapi gensim-word2vec nltk numpy precision-recall python scikit-learn tf-idf-vectorizer

Last synced: 10 Oct 2024

https://github.com/bilalm04/email-spam-classifier

A machine learning project that classifies emails as spam or not spam using Logistic Regression, with a deployable Flask API for real-time classification.

api flask jupyter-notebook machine-learning matplotlib nlp numpy pandas python scikit-learn

Last synced: 10 Oct 2024

https://github.com/ibrahimhabibeg/multimedia-project

Turn images monochrome and create transition between two images

canvas image-processing multimedia numpy pillow python react typescript vite

Last synced: 05 Nov 2024

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

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

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

Last synced: 10 Nov 2024

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

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

geopy keras matplotlib numpy pandas python sklearn tensorflow

Last synced: 07 Nov 2024

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

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

customer-segmentation numpy pandas python rfm-analysis

Last synced: 08 Nov 2024

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

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

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

Last synced: 06 Nov 2024

https://github.com/sarowarahmed/predicting-kolkata-house-price

🏠 Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.

app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit

Last synced: 03 Nov 2024

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

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

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

Last synced: 06 Nov 2024

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

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

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

Last synced: 06 Nov 2024

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

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

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

Last synced: 06 Nov 2024

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

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

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

Last synced: 06 Nov 2024

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

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

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

Last synced: 06 Nov 2024

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

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

data-analysis matplotlib numpy pandas

Last synced: 08 Nov 2024

https://github.com/haranrk/linear-regression

Implemented Linear Regression and some of it's variants

machine-learning matplotlib numpy python python3

Last synced: 22 Oct 2024

https://github.com/matteopolak/chatterbox

RNN-based chat message generator.

numpy pandas python rnn tensorflow text-generation

Last synced: 06 Nov 2024

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

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

conways-game-of-life numpy pygame python

Last synced: 06 Nov 2024

https://github.com/ifimust/room_generator

Room generator service for 2D game levels

flask google-app-engine microservice numpy procedural-generation python

Last synced: 10 Nov 2024

https://github.com/manuel-lang/numpymongo

A python package to export NumPy data to MongoDB

mongodb numpy wrapper

Last synced: 02 Nov 2024

https://github.com/hifly81/photox

photo and album organizer for gtk3

gtk3 numpy opencv-python photography pil pillow python

Last synced: 10 Oct 2024

https://github.com/sibendud/csi_2024_dataengineering

Internship on Data Engineering where below topics are applied skills that are used to complete the given tasks through out 8 weeks including the project.

adf adls azure-pipelines databricks docker ipynb json numpy pandas-python parquet-avro pipeline pyspark python sql sql-server

Last synced: 11 Oct 2024

https://github.com/gherrada22/spanish-sign-translator

This project uses Python and the OpenCV and MediaPipe libraries to detect and translate signs in real time.

language matplotlib mediapipe numpy opencv pycharm-ide python python3 spanish-language toml

Last synced: 31 Oct 2024

https://github.com/jay6430/python-for-data-science

This Repository includes all the Python concepts that are necessary for Data science.

csv data-visualization datascience-machinelearning html-css ipynb-jupyter-notebook matplotlib numpy pandas python3 xml

Last synced: 13 Nov 2024

https://github.com/theroyakash/shallow_neural_network

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

neural-networks numpy shallow-neural-network

Last synced: 07 Nov 2024

https://github.com/wbadart/simplegcn

Basic implementation of a Graph Convolutional Network

data-science gcn neural-network numpy

Last synced: 06 Nov 2024

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

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

numpy opencv pil pillow python3 streamlit streamlit-webapp

Last synced: 06 Nov 2024

https://github.com/kartikeya443/handgesture_vol_control

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

mediapipe numpy opencv pycaw wireless-communication

Last synced: 06 Nov 2024

https://github.com/alinenog/desenvolve_gb_2022

Formação Desenvolve 2022 do Grupo Boticário na área de dados

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

Last synced: 06 Nov 2024

https://github.com/kartikeya443/handgesture_detection_opencv

A Computer Vision based model trained on data sets of over 300 inputs for a particular gesture is able to detect and identify human hands gestures effortlessly and is able to track the coordinates for further modifications in its usage for controlling devices like mouse and windows (control features are in development).

deep-learning mediapipe numpy opencv tensorflow

Last synced: 06 Nov 2024

https://github.com/reubenmathew/docscanner

📸 Document Scanner using an OpenCV Edge Detection Engine

flask numpy opencv python

Last synced: 06 Nov 2024

https://github.com/filipporanza/rc4

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

matplotlib numpy python3 rc4 university-project

Last synced: 06 Nov 2024

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

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

array beginner-friendly math numpy python

Last synced: 07 Nov 2024

https://github.com/teslaproduuction/data_analiz_al

Прогнозирование курса алюминия с использованием модели ARIMAX

arimax csv django html-css-javascript numpy pandas python rss scipy sklearn sqlite yfinance-library

Last synced: 06 Nov 2024

https://github.com/alvii147/discretetimelib

Python library for analysis of discrete time signals and systems

numpy pandas scipy signals-and-systems sympy

Last synced: 06 Nov 2024

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

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

data-analysis numpy pandas python

Last synced: 08 Nov 2024

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

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

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

Last synced: 08 Nov 2024

https://github.com/aminnj/numpy.jl

Simple numpy snippets implemented in julia

joke julia maybenot numpy python

Last synced: 12 Oct 2024

https://github.com/apuravdivekar2032/real-estate-price-prediction

A real estate price prediction website developed using Python with Numpy and Pandas for data cleaning Matplotlib for data visualization and scikit-learn for model building, featuring a Flask server to handle HTTP requests and integrates a user-friendly UI built with HTML, CSS, and JavaScript

flask html-css-javascript jupyter-notebook matplotlib numpy pandas pycharm python3 sklearn vscode

Last synced: 31 Oct 2024

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

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

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

Last synced: 08 Nov 2024

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

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

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

Last synced: 08 Nov 2024

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

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

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

Last synced: 08 Nov 2024

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

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

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

Last synced: 08 Nov 2024

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

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

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

Last synced: 08 Nov 2024

https://github.com/shreeparab1890/duplicate-question-predictor

The ipython notebook is working to build a model which will detect duplicate questions if two questions pair are given.

bag-of-words nlp nlp-machine-learning nltk numpy pandas python random-forest scikit-learn sklearn streamlit

Last synced: 08 Nov 2024

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

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

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

Last synced: 08 Nov 2024

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

AI predictor for Heart Attack likelihood

numpy pandas pickle python streamlit

Last synced: 06 Nov 2024

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

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

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

Last synced: 06 Nov 2024

https://github.com/lewis-morris/image_augment

Image augmentation for CNN's. Aiming to increase generalization.

augmentation image numpy python

Last synced: 31 Oct 2024

https://github.com/jankozik/virtualcamera

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

camera numpy opencv virtualcamera

Last synced: 05 Nov 2024

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

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

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

Last synced: 06 Nov 2024

https://github.com/andres29ac/website_heatmaprisk

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

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

Last synced: 10 Nov 2024

https://github.com/sonu275981/face-mask-detection-web-app

Face Mask Detection web application built with Flask, Keras-TensorFlow, OpenCV. It can be used to detect face masks both in images and in real-time camera video using browser.

flask-application haar-cascade-classifier haarcascade-frontalface javascript keras-tensorflow mask mask-detection numpy opencv webapp

Last synced: 05 Nov 2024

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

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

keras-tensorflow matplotlib neural-network numpy pandas sklearn

Last synced: 07 Nov 2024

https://github.com/sonu275981/uber-rides-data-analysis

Analysis of Uber's Ridership Data for NYC.

data-analysis-python flask machine-learning numpy pandas uber

Last synced: 05 Nov 2024

https://github.com/ayushtiwari134/machine_learning_models

A repo where i upload all the models which i train during my journey of learning Machine Learning from scratch

linear-regression logistic-regression machinelearning matplotlib numpy pandas python random-forest scikit-learn

Last synced: 06 Nov 2024

https://github.com/xkomil/datasciencesummerstudy

I want to document in this repository all my studying data science topics

data-science data-visualization machine-learning meteostat numpy pandas seaborn sklearn streamlit-webapp

Last synced: 05 Nov 2024

https://github.com/mike014/chatbot_app

Chabot is an application with a graphical user interface that uses various natural language processing (NLP) techniques to tokenize, stem, find stop words, and apply regular expressions to user-input text. The interface is built using Tkinter.

deep-learning dialogpt keras-neural-networks keras-tensorflow knn machine-learning-algorithms ml natural-language-processing nlp nltk nltk-python numpy pca python seq2seq tensorflow textpreprocessing tk tokenizer

Last synced: 31 Oct 2024

https://github.com/ayushtiwari134/stock_price_predictor_dl

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

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

Last synced: 06 Nov 2024

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

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

matplotlib numpy pandas plotly

Last synced: 05 Nov 2024

https://github.com/k-ilyas/ai-projects-handwritten-digit-recognition-titanic-survivor-analysis

AI Projects: Handwritten Digit Recognition & Titanic Survivor Analysis using scikit-learn

machine-learning numpy pandas sickit-learn

Last synced: 12 Nov 2024

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

Analysis of LEGO data from 1949 to 2021.

matplotlib merge numpy pandas

Last synced: 05 Nov 2024

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

Data exploration, data cleaning, data analysis and predictive analysis

dataframe linear-regression matplotlib numpy pandas seaborn statistical-analysis

Last synced: 05 Nov 2024

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

Data exploration, cleaning, visualization and presentation

markdown matplotlib numpy pandas plotly seaborn

Last synced: 05 Nov 2024

https://github.com/rakibhhridoy/differentprojects

Some of my learning projects that I practice to launch in data science. Not all, but some of few that was stored in my local repository. It can be useful for beginner data science enthusiast. Explore and learn!

data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics

Last synced: 06 Nov 2024

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