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

📷 Crawl and Analyze Instagram Hashtag Data: KoNLPY to gensim word2Vec & scikit-learn TF-IDF

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.

2024 11조 AI를 활용한 퍼스널컬러 헤어스타일 추천 서비스 Only-You

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.

This repository is a collection of all the files, resources, notes, and code that I used to learn Machine Learning and Data Science. All the code and notes here have been gathered from various sources, and I have compiled them into this repository.

BTAlert-AI is an application based on Machine Learning to monitor and predict application outages.

This folder contains the basic algorithms of ML implemented with Python.

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.

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.

Supervised Machine Learning algorithms based simple projects [ beginner level ]

🌸 Logistic Regression Classification on the Iris Dataset

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.

Prediction of water well failure in Uganda.

An AI model built to understand the sentiments transmitted through a phrase.

analyse and build predictive model for Game of Thrones (War of The Five Kings) battles dataset

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.

Emotion detection from social media texts using machine learning algorithms.

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.