scikitlearn
There are 50 repositories under scikitlearn topic.
dr-mushtaq/Machine-Learning
This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content
snoop2head/instagram_hashtag_analysis
📷 Crawl and Analyze Instagram Hashtag Data: KoNLPY to gensim word2Vec & scikit-learn TF-IDF
antoniodagnino/Oil-Gas-Drilling-Activity-Prediction
Drilling Activity Prediction: Oil and Gas operations are dramatically affected by supply, demand and several other factors that compromise the operational planning of resources. To overcome this challenge, predictive analytics could be applied to forecast rotary rig count inside United States using time-series data.
AryanK1511/Machine-Learning-and-Data-Science-Bootcamp
A collection of resources, code, and notes documenting my journey in Machine Learning and Data Science 📚🤖
FarahIbrar/Programming-in-Python
Explore a comprehensive collection of Python programming for diverse data analysis and data science projects. This repository covers data exploration, visualization, statistical analysis, machine learning, NLP, and model deployment. Perfect for enthusiasts looking to delve into practical examples and advanced techniques.
ineelhere/Machine-Learning-and-Data-Science
This repository contains basic to advanced codes related to data science and machine learning concepts using python. This is a learning endeavour using several online resources.
kookmin-sw/capstone-2024-11
2024 11조 AI를 활용한 퍼스널컬러 헤어스타일 추천 서비스 Only-You
BureauTech/BTAlert-AI
BTAlert-AI is an application based on Machine Learning to monitor and predict application outages.
nkimran94/Predicting-Online-Shoppers-Purchasing-Intention
In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.
tanvirnwu/ML-Algorithms--Scikit-learn--Python
This folder contains the basic algorithms of ML implemented with Python.
AdvaitKisar/House-Rent-Prediction---ML-Project
This project helps to model the data of house rent as function of different parameters of the property. Various models have been used to demonstrate the accuracy of different algorithms. All the instructions regarding the project are included in the Google Colab File.
Ahasannn/Multilevel_Textual_Emotion_Classifier
Emotion detection from social media texts using machine learning algorithms.
Andrei-Chiorian/machine_learning_projects
Machine Learning Algorithms & Data Manipulation with Python A collection of machine learning algorithms and data manipulation techniques using Python and Scikit-learn. Covers regression, classification, clustering, and neural networks, using real email and NSL-KDD datasets for practical applications.
kunmishra2599/Iris_Logistic_Regression
🌸 Logistic Regression Classification on the Iris Dataset
mkashirin/aisp
В этом репозитории можно найти Jupyter-тетради составленные на основе тех, что даются в курсе ПСИИ.
NagiPragalathan/Python_Tutorial_For_Data-Science
This repository is a comprehensive guide for learning data science using Python. It covers various essential libraries and tools commonly used in the field of data science, including Jupyter Notebook, Matplotlib, NumPy, Pandas, Scikit-learn, and PyTorch.
Priyanshu88/Diabetes-Prediction-Streamlit-App
This application is built using Streamlit to demonstrate Diabetes Prediction. It performs prediction on multiple parameters of a patient's health to predict whether they have diabetes or not.
RobertLupas/SentiSense
An AI model built to understand the sentiments transmitted through a phrase.
SnehaShukla937/SupervisedMachineLearningProject
Supervised Machine Learning algorithms based simple projects [ beginner level ]
stefkim/Game_of_Thrones_Battles_Analysis_and_Prediction
analyse and build predictive model for Game of Thrones (War of The Five Kings) battles dataset
vega5b/uganda-water-accessibility
Prediction of water well failure in Uganda.
abhishekGarg26/Natural_Language_Processing
🤖💻This repository showcases a comprehensive Natural Language Processing (NLP) pipeline implemented in Python using Jupyter notebooks. The pipeline deploys various machine learning techniques to classify labeled dataset. The pipeline employs comparisons of the dataset using Recurrent Neural Network (RNN) and RandomForest Classifier algorithms.
AlexSolov28/VKRB
Выпускная квалификационная работа бакалавра «Система анализа алгоритмов машинного обучения для решения задач классификации с использованием Pandas»
ameyjoshi0209/Dog-Vision
A dog breed identification model specializing in precise classification from images, leveraging advanced transfer learning techniques with TensorFlow, Keras, and GPU acceleration
carlosbertoncelli/model-server-boilerplate
A model server boilerplate for tensorflow & scikitlearn models
CelineBoutinon/bookworms
OpenClassrooms Data Analyst 2022-2023 - Projet 6
RedPotato46/CAPSTONE-ML-Project-2
A non-profit organization assists US hospitals in improving their CMS ratings by providing recommendations on areas needing enhancement, which positively impacts hospital revenue and patient quality of life. Also, the organization offers pre-emptive assessments for unrated hospitals, guiding them on where to invest for better ratings and outcomes.
sabdulrazzaque/yellowfin-tuna-weight-prediction
Machine learning pipeline for predicting Yellowfin Tuna weight, including data preprocessing, model training, testing, deployment, and an interactive web-based prediction interface.
vtpaiva/house-sell-predict
House selling classfication prediction task with Python using Pandas, Numpy, Scikit-Learn, Seaborn and Matplotlib.
zehan-alam/Regression--Car-Price-Prediction
Regression Analysis to predict car selling price with given datasets. Used libraries: Pandas, Matplotlib, Seaborn, Scikitlearn
fx818/Fraud-Detection
Fraud detection in Insurance Companies
Gregoritsch3/ML_EDA_Regression_EnergyConsumptionForecasting
An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.
sheyaa/Netflix_Titles_Recommendation_System
A content-based recommendation system for TV shows and movies using TF-IDF
SouchetJulie/iim-a5-ml
Rendu projet machine learning - IIM année 5