Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
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: 2024-11-15 00:20:36 UTC
- JSON Representation
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/anjaliwork20/heart-failure-prediction
Heart Failure Prediction in Humans
failure-detection heart heart-disease machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn scikitlearn-machine-learning seaborn svc-model
Last synced: 03 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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/rnddave/python-like-a-boss
This is where I stash my Python study material.
data data-analysis data-engineering data-science data-visualization datascience ipynb ipynb-jupyter-notebook ipynb-notebook numpy pandas python python3
Last synced: 11 Oct 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/0eix/deepclassifier
DeepClassify - A Versatile Command Line Image Classifier
classification classifier cli cnn command-line-app deep-learning numpy pandas pillow python pytorch torchvision transfer-learning
Last synced: 06 Nov 2024
https://github.com/manuel-lang/numpymongo
A python package to export NumPy data to MongoDB
Last synced: 02 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/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/abrahamkoloboe27/fruits-recognition-streamlit-app
🍎 Fruits Classification App (Streamlit) 🍌
convolutional-neural-networks deep-learning image-classification image-processing keras logging machine-learning machine-learning-engineering mlops numpy pandas plotly prototype python streamlit streamlit-application tensorflow
Last synced: 31 Oct 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/flashdroid15/food_safety_security_dtp3
Modelling food safety and food security using Python
data-processing data-visualization matplotlib multiple-linear-regression numpy pandas python seaborn
Last synced: 06 Nov 2024
https://github.com/reubenmathew/docscanner
📸 Document Scanner using an OpenCV Edge Detection Engine
Last synced: 06 Nov 2024
https://github.com/darshan12345678910/loan_predict-logisticregression-ml-algorithms
implementation of LogisticRegression
eda logistic-regression ml-algorithms numpy pandas
Last synced: 12 Nov 2024
https://github.com/adityabhamare10/aiml-hackathon
Smart Credit Risk Solutions
chatgpt confusion-matrix css ejs flask git github html javascript joblib jupyter-notebook logistic-regression matplotlib numpy pandas pycharm python seaborn sklearn stremlit
Last synced: 31 Oct 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/rajaprerak/tag_generation
natural-language-processing nlp nltk numpy pandas python sklearn
Last synced: 06 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/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/lynk4/ai-ml
Artificial Intelligence (AI) and Machine Learning (ML) ....;)
ai artificial-intelligence huggingface huggingface-transformers machine-learning-algorithms machinelearning numpy pandas prediction-model predictions python python3 sckit-learn sentiment-analysis
Last synced: 08 Nov 2024
https://github.com/lynk4/your-first-machine-learning-model-in-python
Create your first machine learning model in python...........
datavisualization linear-regression machine-learning machinelearning machinelearning-python machinelearningmodel matplotlib ml model numpy pandas python random-forest
Last synced: 08 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/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/madhurjain/carnd-traffic-sign-classifier-project-2
CarND Traffic Sign Classifier Project #2
carnd matplotlib numpy pandas python self-driving-car tensorflow
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/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/absolutelysaurabh/machine-learning
My machine learning journey.
linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas seaborn
Last synced: 05 Nov 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/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/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/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/bengaluru_house_data
Data Science on predicting House rate in Bangalore.
data-science data-visualization exploratory-data-analysis house-price-prediction machine-learning numpy pandas python3
Last synced: 05 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/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/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/andrehaguiar/curso_py-data_science-machine_learning
Ciência de Dados e Inteligência Artificial com Python e estatística.
anaconda3 data-science jupyter-notebook machine-learning matplotlib numpy pandas python scipy seaborn sklearn spyder sql sql-server statistics
Last synced: 07 Nov 2024
https://github.com/ibrahimfazili/stock-market-model
machine-learning numpy python3 quandl
Last synced: 07 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/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/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/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/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/gitgoap/defogify
Dehaze input image
gradio-interface huggingface numpy open-cv python3
Last synced: 31 Oct 2024
https://github.com/omogbolahan94/handwashing-history-analysis
Data Wrangling and Analytics
matplotlib numpy pandas plotly scipy seaborn statistical-analysis
Last synced: 05 Nov 2024
https://github.com/omogbolahan94/lego-analysis
Analysis of LEGO data from 1949 to 2021.
Last synced: 05 Nov 2024
https://github.com/skywalkersam/python-development-bootcamp
Resources for the Python Developer Bootcamp.
bootcamp django flask jupyter-notebook matplotlib ml numpy pandas python-bootcamp python-development python-scripting python3 web-scraping
Last synced: 10 Nov 2024
https://github.com/jonad/boston_housing_price
Predicting Boston Housing Prices.
boston-housing-dataset jupyter-notebook matplotlib numpy pandas python3 scikit-learn
Last synced: 07 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/jonad/customer_segment
Creating customer segments using unsupervised machine learning algorithm.
clustering clustering-algorithm gaussian-mixture-models jupyter-notebook kmeans-clustering matplotlib numpy pandas python scikit-learn
Last synced: 07 Nov 2024
https://github.com/harmanveer-2546/nba-homecourt-advantage-data-analysis
In this repo we're diving into NBA game data to explore the phenomenon of home court advantage.
analysis homecourt learning-curve linear-models logisticregression metrics model-selection nba nba-analytics nba-stats numpy pandas preprocessing seaborn sklearn standardscaler
Last synced: 31 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/bettenoch/yolo_real_time_object_detector
The YOLO Real-Time Object Detector leverages the ultralytics package to provide robust object detection capabilities. This project is designed to identify and classify objects in images, video streams, and live webcam feeds with high accuracy and efficiency.
numpy object-detection object-tracking pandas python3 real-time-processing ultralytics yolov8
Last synced: 06 Nov 2024
https://github.com/afondiel/intro-to-artificial-intelligence-free-course-le-wagon
Intro to Artificial Intelligence Free Course from @LeWagon
ai ai-courses artificial-intelligence data-science lewagon machine-learning numpy pandas prophet-facebook regression-models scikit-learn sklearn
Last synced: 06 Nov 2024
