RamySaleem/Machine-Predict-Lithologies-Using-Wireline-logs

To identify lithologies, geoscientists use subsurface data such as wireline logs and petrophysical data. However, this process is often tedious, repetitive, and time-consuming. This project aims to use machine learning techniques to predict lithology from petrophysical logs, which are direct indicators of lithology.

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PradeepThapa/nsl_kdd_classification

Cyber-attack classification in the network traffic database using NSL-KDD dataset

Language: Python - Size: 3.07 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 3

aws-samples/amazon-sagemaker-experiments-dvc-demo

SageMaker Experiments and DVC

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lisette-espin/PovertyMaps

Interpreting wealth distribution via poverty map inference using multimodal data

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Sarthak-1408/Water-Potability

In this repo, I am doing data analysis in water potability and check each and every classification model's accuracy.

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LeHongNgoc3820/Project_Company_Bankruptcy_Prediction

Application of Machine Learning models to predict Company Bankruptcy

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Jitensid/Video-Game-Sales-Prediction-Weekend-Hackathon-10

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akulez/Sales-Prediction-Time_Series_Analysis

Time Series Analysis and Forecasting for an online store using LSTM and CatBoost Algorithm.

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LeHongNgoc3820/Project_Credit_Risk

Application of Machine Learning Models to predict Credit Risk

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swapanroy/Predicting-Length-of-Stay-w-Boosting-algorithms

HealthCare Length of Stay predictions with Booster algorithms

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leudom/german-fake-news-classifier

Classifying german fake news based on news articles (text). The training data comes from Kaggle and a claim-by-claim approved fake news dataset by authoritative sources (see README.md)

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SenSudi/EE-695-Applied-Machine-Learning

Implemented various ML algorithms with and without library functions. Final Project-->Application of LGBM, XGBoost, Catboost and SVC

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Paulooh007/UNICEF-flood-prediction-in-Malawi

A regression model that predicts the flood area for each 1km grid cell across southern Malawi

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ankit013/Catboost

Implementing Catboost

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ai-naymul/ChurnCrafter-ML-Suite

this project leverages machine learning to predict customer churn, and we've built an interactive interface using Streamlit and containerized everything with Docker for easy deployment.

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Yash-3-bit/Pubg-Game-Prediction

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SnPreethi/Sales_Forecasting_And_Data_Enrichment

A basic machine learning project to predict store item demand for the next three months using five years of historical data.

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yyigitturan/Telco-Customer-Churn-Feature-Engineering

A comprehensive machine learning pipeline for churn prediction in telecom customers using CatBoost, featuring data preprocessing, exploratory data analysis, feature engineering, and model evaluation.

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Atharva-Parkar/Customer-Churn-Prediction-with-Machine-Learning

Precision-driven customer churn analysis using CatBoost for accurate predictions and insightful model evaluation.

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SharmithaYazhini/Cardio-Vascular-Disease-Prediction

Objective of this Web app is to predict the likelihood of cardiovascular disease based on lifestyle factors

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Ch3ekiBr3eki/hotel_reservation

This is my final project that I did at the end of teaching a python course at my university "HSE UNIVERSITY". The dataset was taken from the kaggle site.

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L98S/Miami-Housing-prices

This project focuses on predicting house prices in Miami using regression techniques. By exploring and analyzing the data, performing feature selection and scaling, trying out different models, and tuning hyperparameters, we aim to develop an accurate model for predicting house prices.

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thabresh-s/Credit-Risk-Analysis

Credit Risk Analysis with Machine Learning

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grokhi/startMLapp

Modified fastapi microservice with scheduled A/B tests of base&enhanced catboost models (microservice based on final project of Start ML course at karpov.courses)

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kyaiooiayk/CatBoost-Notes

Notes, tutorials, code snippets and templates focused on CatBoost for Machine Learning.

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Akash1070/Deploying-Machine-Learning-Models-via-Microsoft-Azure

Deploying Flight Price Prediction via Microsoft Azure

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Akash1070/Flight-Price-Predicting---Heroku

Flight Price Prediction Model Deployment IN Heroku

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ni3choudhary/Rainfall-Prediction-In-Australia-Deployment

A ML project with EDA and model that helps in predicting next-day rain by training classification models on the target variable RainTomorrow.

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Gabriel1Vitor/cat

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K1A2/dacon_credit_card

데이콘 신용카드 사용자 연체 예측 AI 경진대회 코드

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shreyash2610/Machinehack-Mathcothon-Car-Price-Prediction

With the rise in the variety of cars with differentiated capabilities and features such as model, production year, category, brand, fuel type, engine volume, mileage, cylinders, colour, airbags and many more, we are bringing a car price prediction challenge for all. We all aspire to own a car within budget with the best features available. To solve the price problem we have created a dataset of 19237 for the training dataset and 8245 for the test dataset.

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cmdang-mochi/Reviews-Predictions

This project is to support Allcorrect Games with creating a machine learning model to help make label predictions on text game reviews in regards to localization.

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krishcy25/PyCaret-RegressionModels-HousePricePrediction-KaggleCompetition

This repository contains code to build 21 Regression Machine Learning Models to predict the house price in Python using PyCaret. Models are compared against the statistics (RMSE), best model was picked, tuned, saved/loaded for model deployment and used to predict the observations on unseen data. The final file with predictions on unseen data was submitted to Kaggle Competition placing me in Top 20%

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