scikit-learn | Ecosyste.ms: Awesome

https://github.com/iamriteshkoushik/skrun

18hrs Scikit Learn Course Speedrun Repo

freecodecamp machine-learning scikit-learn

Last synced: 05 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

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/joel-beck/claims-prediction

Car Insurance Claims Prediction

python regression scikit-learn

Last synced: 05 Nov 2024

https://github.com/ccastleberry/hands_on_machine_learning

Notebooks and files created while working through the book Hands on Machine Learning

data-science jupyter-notebook scikit-learn tensorflow

Last synced: 28 Oct 2024

https://github.com/miguellopezvirues/text_sentiment_classification_gamestop

A notebook on NLP sentiment analysis for text classification of game reviews between "positive", "neutral" and "negative".

machine-learning nlp pandas python scikit-learn sentiment-analysis

Last synced: 06 Nov 2024

https://github.com/chengetanaim/high-school-alcoholism-and-academic-performance

Student Alcoholism and Academic Performance Data Analysis

jupyter-notebook scikit-learn

Last synced: 05 Nov 2024

https://github.com/chengetanaim/customerpersonalityanalysis

Customer Personality Analysis involves a thorough examination of a company's optimal customer profiles. This analysis facilitates a deeper understanding of customers, enabling businesses to tailor products to meet the distinct needs, behaviors, and concerns of various customer types

kmeans-clustering pandas scikit-learn

Last synced: 05 Nov 2024

https://github.com/chengetanaim/sentimentanalysisforfinancialnews

This is a Django application for predicting whether the sentiment of a financial news headline is positive, negative or neutral (from an investor point of view)

beautifulsoup4 chartjs django html-css-javascript logistic-regression machine-learning natural-language-processing scikit-learn tfidf-vectorizer webscraping

Last synced: 05 Nov 2024

https://github.com/chengetanaim/sentimentanalysisforfinancialnewsnotebook

Building the model of a financial news sentiment classifier. Financial news headlines will be classified as positive, negative or neutral (from an investor point of view)

logistic-regression machine-learning natural-language-processing scikit-learn tfidf-vectorizer

Last synced: 05 Nov 2024

https://github.com/shahzaibdev355/house-recommendation-backend

House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.

flask flask-api flask-cors numpy pandas scikit-learn tensorflow

Last synced: 31 Oct 2024

https://github.com/yuweaec/wine_quality_prediction

The Wine Quality Prediction project aims to predict the quality of wine based on its chemical properties using machine learning algorithms.

flask jupyter-notebook machine-learning python scikit-learn

Last synced: 31 Oct 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/josancamon19/boston_housing

Predicting Boston Housing Prices for Udacity Machine Learning Nanodegree

boston-housing-price-prediction machine-learning machine-learning-nanodegree scikit-learn udacity

Last synced: 07 Nov 2024

https://github.com/dionixius7/titanic-disaster-ml-model

This project predicts the survival of passengers on the Titanic by using Kaggle Titanic Disaster Dataset. The dataset contains information related to passengers, such as age, gender, and class. Different machine learning algorithms have been applied for this predictive model to accomplish an accurate prediction that will define the survival chances

data-analysis data-science data-visualization eda knn-classifier machine-learning neural-network python scikit-learn svm tensorflow titanic-kaggle titanic-survival-prediction

Last synced: 12 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/visualmachinelearning-yellowbrick

Yellowbrick wraps the scikit-learn and matplotlib to create publication-ready figures and interactive data explorations. It is a diagnostic visualization platform for machine learning that allows us to steer the model selection process by helping to evaluate the performance, stability, and predictive value of our models and further assist in diagnosing the problems in our workflow.

classification hyperparameter-tuning machine-learning model-evaluation model-view-presenter model-visualization python random-forest random-forest-classifier scikit-learn visualization xgboost xgboost-algorithm yellowbrick

Last synced: 06 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

https://github.com/rakibhhridoy/breastcanceranalysis-classificationclustering

Breast cancer prediction both in classification and clustering method for better understanding the data. Though clustering is different from classification,to finding the key aspect the data have,sometimes we need every possible way to catch behavior of the data.

breast-cancer-prediction breastcancer-classification classification classification-algorithm clustering eda hyperparameter-optimization machine-learning python scikit-learn supervised-learning unsupervised-learning

Last synced: 06 Nov 2024

https://github.com/rakibhhridoy/customersegmentation-clustering

Customer segmentation heavily use in business purpose. It is needed skill for business intelligence and applied machine learning engineer. This represent quite basic way the customer segmentation is done. In python the task is quite easy to do.

agglomerative-clustering clustering-algorithm customer ecommerce kmeans-clustering machine-learning scikit-learn scikitlearn-machine-learning segmentation unsupervised-learning unsupervised-machine-learning

Last synced: 06 Nov 2024

https://github.com/pransu-code/marathonprediction

Case-based Time Prediction for Recreational Marathon Runners

gbm machine-learning-algorithms numpy pandas python random-forest regression-models scikit-learn seaborn sklearn

Last synced: 12 Oct 2024

https://github.com/probokrishnacahya/machine_learning

IMT01306601-A Machine Learning

ipynb machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 06 Nov 2024

https://github.com/shuddha2021/stellar-candidate-selector

A sophisticated candidate selection algorithm leveraging multi-criteria analysis and machine learning to identify top software engineering candidates. This tool features flexible filtering, score adjustment, and detailed visualizations to streamline the recruitment process.

candidate-selection data-analysis data-visualization machine-learning pandas plotting-in-python python python-data-analysis recruitment scikit-learn

Last synced: 06 Nov 2024

https://github.com/clinton-mwachia/machine-learning-with-python

machine learning with python

machine-learning python regression scikit-learn

Last synced: 07 Nov 2024

https://github.com/csengupta1101/housing-price-prediction

Based on given features , this project deals with the prediction of house prices. From data extraction till deployment , everything is detailed in here.

jupyter-notebook matplotlib numpy pandas python python3 scikit-learn vscode

Last synced: 07 Nov 2024

https://github.com/lopez86/datascienceexamples

Examples of various data science & data analysis topics using various sources of data.

data-analysis data-science pandas scikit-learn tutorial visualization

Last synced: 06 Nov 2024

https://github.com/jalijuhola/amazon-textual-reviews-recommender-

predicting score and recommending using amazon textual reviews

numpy pandas python scikit-learn typescript

Last synced: 06 Nov 2024

https://github.com/psavarmattas/stroke-prediction-ml-model

This is just a theoretical Machine Learning Model that will analyze the data and determine where the stroke can occur.

classification decision-tree-classifier knearest-neighbor-classifier logistic-regression machine-learning multi-layer-perceptron python random-forest scikit-learn sklearn stacking-classifier support-vector-classifier

Last synced: 07 Nov 2024

https://github.com/angelarreola/ai_notes

Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.

ai matplotlib numpy pandas phaserjs python scikit-learn

Last synced: 04 Nov 2024

https://github.com/navindafernando/face-recognition

Training a SVM Pipeline for Face Recognition :anger:

classification haar-cascade-classifier joblib machine-learning numpy opencv pipeline principal-component-analysis scikit-learn ski support-vector-machines

Last synced: 08 Nov 2024

https://github.com/navindafernando/iris

Hello world for ML :mushroom:

joblib k-nearest-neighbor machine-learning pandas scikit-learn

Last synced: 08 Nov 2024

https://github.com/navindafernando/heart-risk-prediction-model

Heart Risk Level Predicting Regression Model :broken_heart:

joblib linear-regression machine-learning pandas r-squared regression-models scikit-learn

Last synced: 08 Nov 2024

https://github.com/navindafernando/brain-tumor-detection

Brain Tumor Detection using Color Segmentation with KMeans Clustering :warning:

color-segmentation erosion find-contours joblib k-means-clustering machine-learning matplotlib morphological-operation numpy opencv scikit-learn unsupervised

Last synced: 08 Nov 2024

https://github.com/murshidazher/recommendation-system

🎥 Building a recommendation system using python

python recommendation-engine scikit-learn suprise

Last synced: 08 Nov 2024

https://github.com/shridhar1504/boston-house-price-prediction-datascience-project

The Boston House Price Prediction project utilizes data science methodologies and machine learning algorithms to provide accurate predictions for housing prices in the Boston area.

boston data-science house-price-prediction machine-learning regression-algorithms regression-models scikit-learn supervised-learning

Last synced: 05 Nov 2024

https://github.com/shridhar1504/titanic-survivor-prediction-datascience-classification-project

This projects predicts whether a passenger on the titanic survived or not using machine learning algorithms with the given details of the passenger data.

classification-algorithm data-analysis data-analytics data-cleaning data-preprocessing data-science data-visualization eda exploratory-data-analysis gradient-boosting jupyter-notebook machine-learning machine-learning-algorithms matplotlib naive-bayes-classifier predictive-modeling python3 scikit-learn seaborn supervised-learning

Last synced: 05 Nov 2024

https://github.com/jayadavv/dynamic-ml-model-selector

An interactive web application that allows users to upload their datasets and dynamically select, train, and evaluate various machine learning models. The app provides comprehensive performance metrics and visualizations, making it easy for users to analyze their data effectively.

decision-trees linear-regression logistic-regression matplotlib-pyplot plotly python random-forest scikit-learn streamlit

Last synced: 31 Oct 2024

https://github.com/thmslmr/scikitlearn-examples

💡Scikit Learn examples - Python

python scikit-learn tutorials

Last synced: 07 Nov 2024

https://github.com/gayathri2200/car-price-prediction---machine-learning

Car price prediction Machine Learning --- Which is used to predict the price of used cars based on the features.

data-science machine-learning modeldeployment pandas price-prediction python regression scikit-learn streamlit visual-studio visualization

Last synced: 31 Oct 2024

https://github.com/brianlesko/maze-runner

Developed a Python-based maze-crawling application using a PS5 controller interface. This project highlights skills in software-hardware integration and low-code UI design, demonstrating expertise ideal for advanced software engineering.

communication dualsense engineer engineering hacking hardware hardware-hacking interface low-code-ui mechanical-engineer mechanical-engineering protocol ps5 python robotics-engineer scikit-learn software sony streamlit ui

Last synced: 06 Nov 2024

https://github.com/markdouthwaite/py-lingo

Utilities for helping you deploy Scikit-Learn models in Go (with lingo!)

hdf5 linear-models scikit-learn

Last synced: 11 Oct 2024

https://github.com/ahmetzamanis/usedcarkicksclassification

Imbalanced classification with scikit-learn and PyTorch Lightning.

class-weights classification classification-metrics data-science deep-learning focal-loss hyperparameter-optimization imbalanced-classification logistic-regression machine-learning neural-network optuna python pytorch pytorch-lightning scikit-learn sensitivity-analysis stochastic-gradient-descent support-vector-machines xgboost

Last synced: 07 Nov 2024

https://github.com/hmasdev/sklearn-protocols

sklearn-protocols: protocols for sklearn regressors, classifiers and transformers

protocol python python3 scikit-learn

Last synced: 07 Nov 2024

https://github.com/bkamapantula/discover

Code search utility to assist developer workflows via code discovery. Currently uses TF-IDF estimator.

developer-tools python scikit-learn tf-idf

Last synced: 16 Oct 2024

https://github.com/adi3042/sensor-fault-detection

🔍⚙️ Ensure Reliable Operations! Detect anomalies and prevent disruptions with our Sensor Fault Detection system. Explore advanced classification and regression techniques to identify and address sensor faults effectively. Your path to robust and accurate sensor data begins here! 🚨🔧 SensorFaultTech

classification css datetime fault-detection flask functools html ipykernel jupternotebook machine-learning numpy pandas python3 readme regression scikit-learn sensor setuptools venv

Last synced: 08 Nov 2024

https://github.com/adi3042/credit-card-fault-detection

🔍💳 Secure Your Finances! Detect anomalies and safeguard transactions with our Credit Card Fault Detection system. Dive into cutting-edge classification techniques to identify fraud and protect financial data. Your journey to secure payments starts here! 🚨🔒 FraudDetectionTech

classification credit-card css datetime fault-detection flask functools html ipykernel jupyternotebooks machine-learning numpy pandas python3 readme scikit-learn setuptools venv

Last synced: 08 Nov 2024

https://github.com/naufal-yafi/text-mining-nb.model

Naive Bayes algorithm with preprocessing data

clasification data-science machine-learning naive-bayes-algorithm python3 scikit-learn streamlit-webapp text-mining

Last synced: 08 Nov 2024

https://github.com/naufal-yafi/knn-regression.model

K-Nearest Neighbors

data-science knn-regression machine-learning scikit-learn

Last synced: 08 Nov 2024

https://github.com/dilkushsingh/iris-species-classifier

Used Random Forest Classifier Algorithm

huggingface-spaces numpy pandas python random-forest-classifier scikit-learn streamlit

Last synced: 08 Nov 2024

https://github.com/hyzhak/scikit-learn-experiments

scikit-learn experiments

data-science scikit-learn sklearn

Last synced: 05 Nov 2024

https://github.com/aasjunior/mlapp-api

Esta API fornece endpoints para aplicar algoritmos de aprendizado de máquina, como K-Nearest Neighbors (KNN), Árvore de Decisão e Algoritmo Genético. Realizado como tarefa da disciplina de Laboratório Mobile/Computação Natural no 5º Semestre de Desenvolvimento de Software Multiplataforma.

fastapi machine-learning python scikit-learn

Last synced: 08 Nov 2024

https://github.com/codersales/machine-learning-project

Machine Learning Project

code data-science filtered-4 jupyter last-quarter machine-learning not-this-month numpy over-100-commits pandas pseudo-current python repository-6 scikit-learn sub-critical supervised supervised-learning

Last synced: 08 Nov 2024

https://github.com/apal21/tensorflow-pima-indians-dataset-classification

Pima Indians Dataset classification using Tensorflow Linear Classifier and DNN Classifier.

classification deep-neural-networks kaggle linear-classifier pandas pima-indians-dataset scikit-learn tensorflow

Last synced: 08 Nov 2024

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

This model will tell you weather mail is spam or not

dataanalysis datacleaning datascience eda machine-learning nlp-machine-learning nltk numpy pandas python scikit-learn streamlit streamlit-webapp tfidf-vectorizer wordcloud-visualization wordtovec

Last synced: 08 Nov 2024

https://github.com/sahiltiwariiii/dssp

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit

Last synced: 08 Nov 2024

https://github.com/dmitryryumin/python_libs

Библиотеки Python

bokeh matplotlib numpy pandas plotly python scikit-learn seaborn

Last synced: 08 Nov 2024

https://github.com/vivekkdagar/naivebayesclassifier

Multinomial Naive Bayes Language Classification model

artificial-intelligence beautifulsoup4 college-project github joblib kaggle kaggle-dataset linux machine-learning multinomial-naive-bayes naive-bayes naive-bayes-classifier natural-language-processing popos pycharm python3 scikit-learn simple-project

Last synced: 31 Oct 2024

https://github.com/abhipatel35/svm-hyperparameter-optimization-for-breast-cancer

Utilizing SVM for breast cancer classification, this project compares model performance before and after hyperparameter tuning using GridSearchCV. Evaluation metrics like classification report showcase the effectiveness of the optimized model.

breast-cancer cancer-diagnosis classification data-analysis data-science gridsearchcv healthcare hyperparameter-tuning jupyter-notebook machine-learning medical-imaging pycharm python scikit-learn support-vector-machine svm

Last synced: 31 Oct 2024

https://github.com/joel-beck/airbnb-oslo

Price Prediction Models for Airbnb Apartments in Oslo | Winter Term 2021/22

prediction python pytorch scikit-learn

Last synced: 05 Nov 2024

https://github.com/baponkar/scikit-logisticregression-application

A simple and detail application analysis of sci kit learn LogisticRegression model .

classification-algorithm logistic-regression machine-learning python3 scikit-learn

Last synced: 07 Nov 2024

https://github.com/sudothearkknight/15-machinelearningprojects

A curation of 15 Machine Learning projects in various fields that are helping me gain a better understanding of the different machine learning tools, techniques, algorithms and methodalogies.

classification-algorithm machine-learning machine-learning-algorithms natural-language-processing pycharm-ide python3 regression-models scikit-learn scikitlearn-machine-learning spam-detection

Last synced: 31 Oct 2024

https://github.com/s-matke/eco-forecast

Machine learning model used for predicting European country with most green surplus energy generated

data-science green-energy machine-learning scikit-learn supervised-learning

Last synced: 21 Oct 2024

https://github.com/tansudasli/tensorflow-sandbox

all about machine learning

apache-arrow keras machine-learning numpy pandas scikit-learn tensorflow2

Last synced: 11 Oct 2024

https://github.com/avik-pal/kaggle-titanic

Predicting whether a given set of people survive on the Titanic

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 12 Oct 2024

https://github.com/jofaval/sonar

Binary Classification of Sonar Signals of Rocks and Metal cylinders in 1987

data-analysis data-science data-visualization machine-learning python scikit-learn sonar uci

Last synced: 21 Oct 2024

https://github.com/jofaval/red-wine-quality

Data Analysis of the Red Portuguese's Wine's Quality in 2009

classification data-analysis data-science data-visualization google-colab kaggle logistic-regression machine-learning python scikit-learn wine-quality xgboost

Last synced: 21 Oct 2024

https://github.com/pratishtha-abrol/sentimentanalysis

Logistic Regression: A sentiment analysis case study

logistic-regression nltk-python scikit-learn sentiment-analysis

Last synced: 24 Oct 2024

https://github.com/pranav-nagpure/plant-disease-prediction-nb

IPython Notebook to build the model for Plant Disease Prediction

efficientnet image-augmentation ipython-notebook keras-tensorflow machine-learning scikit-learn

Last synced: 11 Oct 2024

https://github.com/pranav-nagpure/dog-breed-prediction-nb

IPython Notebook to build the model for Dog Breed Prediction

ipython-notebook keras-tensorflow machine-learning scikit-learn transfer-learning xception-net

Last synced: 11 Oct 2024

https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis

This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R

classification clustering ipython-notebook jupyter-notebook keras-neural-networks keras-tensorflow machine-learning neural-network numpy python r rmarkdown scikit-learn scipy tensorflow

Last synced: 11 Oct 2024

https://github.com/rafie-b/data-analytics

Activities of Data Analysis.

apache-spark api aws business-analytics data data-analytics data-science database dataframe jupyter-notebook python scikit-learn sql

Last synced: 05 Nov 2024

https://github.com/jonad/finding_donors

Predicting income with UCI Census Income Dataset using supervised machine learning algorithms

numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 07 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/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/sonu275981/flight-fare-prediction

End to end implementation of Machine Learning Airline Flight Fare Prediction using python

flight-price-prediction gradient-boosting machine-learning predicts-flight-fares python3 regression-models scikit-learn

Last synced: 05 Nov 2024

https://github.com/djb15/machine-learning-project

Machine learning project 2018 - Imperial College London

machine-learning project python3 scikit-learn scikitlearn-machine-learning university university-project

Last synced: 07 Nov 2024

https://github.com/mangesh-balkawade/pythonautomationsscripts

This is the repository which contains the python automations scripts and machine learning case studies , and Python Projects that I have write to learn automations and ML using python.

automation data-science machine-learning-algorithms matplotlib mongodb pandas python3 scikit-learn seaborn webscraping

Last synced: 08 Nov 2024

https://github.com/gsmafra/sklearn-dummies

Scikit-learn label binarizer with support for missing values

data-science machine-learning pandas python scikit-learn

Last synced: 27 Oct 2024

https://github.com/ahmadmessbah/classification_app

Machine Learning No-Code Environment

classification knn logistic-regression machine-learning machinelearning mlp scikit-learn sklearn svm

Last synced: 08 Nov 2024

https://github.com/viniciusmassari/regressao_linear_multipla

Prediction of a cholesterol exam based in some features about the patient

jupyter jupyter-notebook jupyter-notebooks pandas pandas-dataframe pandas-python pingouin python scikit-learn scikit-learn-python scikitlearn-machine-learning scipy scipy-stats

Last synced: 10 Oct 2024

https://github.com/messierandromeda/sentiment-analysis

Sentiment analysis with the IMDB movie review dataset.

imdb-dataset python scikit-learn sentiment-analysis

Last synced: 10 Oct 2024

https://github.com/priyanshulathi/air-quality-index-prediction

Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/henriqueotogami/imersao-dados-3-alura

Terceira edição da Imersão Dados da Alura (03 a 07/05/21). O projeto dessa edição foi inspirado em um desafio do Laboratory Innovation Science at Harvard disponibilizado no Kaggle.

alura bioinformatics data-science drug-discovery google-collab harvard-university imersaodados jupyter-notebook kaggle-challenge laboratory-innovation-science matplotlib pandas python3 scikit-learn seaborn

Last synced: 05 Nov 2024

https://github.com/the-developer-306/house-price-predictor

House Price Predictor: Harnessing machine learning algorithms to forecast housing prices in Boston, empowering buyers and sellers with accurate predictions based on key factors like location, crime rate, rooms, accessibility, and more.

csv ipynb-jupyter-notebook joblib matplotlib numpy pandas python scikit-learn

Last synced: 11 Oct 2024

https://github.com/r-gg/ml-37

Amazon Reviews ~ Sentiment analysis evaluation: fine-tuned BERT vs LSTM. (+ Extensive Data Mining & Visualization)

bert deep-learning ipynb-jupyter-notebook lstm machine-learning python scikit-learn uni-project

Last synced: 11 Oct 2024

https://github.com/mohd-faizy/preprocess_ml

This repository hosts Python code that utilizes the Scikit-learn preprocessing API for data preprocessing. The code presents a comprehensive range of tools that handle missing data, scale data, encode categorical variables, and perform other functions.

data-science feature-engineering feature-engineering-algorithm feature-extraction feature-selection machine-learning outlier-detection preprocessing-data preprocessor scikit-learn

Last synced: 11 Oct 2024

https://github.com/sergeimakarovv/ml-powerlifting

Predicting a weight lifted by athletes using Machine Learning

machine-learning pandas python scikit-learn

Last synced: 03 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/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/ismaelvr1999/air-quality-clustering

This project focuses on analyzing air quality data and categorizing it into clusters using the K-Means algorithm.

jupyter-notebook machine-learning matplotlib pandas python scikit-learn

Last synced: 10 Oct 2024

https://github.com/sckonung/crab-age-regression

ML model for regression with a crab age dataset Competition in Kaggle

keras machine-learning pandas python scikit-learn tensorflow

Last synced: 03 Nov 2024

https://github.com/alexsolov28/ml_course

Курс "Технология машинного обучения", бакалавриат, 6 семестр

colab-notebooks jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 31 Oct 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/rickcontreras/modelos1

Modelo de clasificación para predecir el desempeño de estudiantes en las Pruebas Saber Pro en Colombia. Incluye análisis exploratorio de datos, preprocesamiento y modelos de machine learning.

classification colombia data-analysis data-science education educational-assessment exploratory-data-analysis jupyter-notebook machine-learning python saber-pro scikit-learn student-performance

Last synced: 10 Oct 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/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