ЭМИИА | EMIIA | МАШИННОЕ РАДИОЗРЕНИЕ | MACHINE RADIO VISION | КОГНИТИВНАЯ РАДИООПТИКА | СОПТШЕШМУ RADIO OPTICS
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Updated
Oct 17, 2020 - HTML
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
ЭМИИА | EMIIA | МАШИННОЕ РАДИОЗРЕНИЕ | MACHINE RADIO VISION | КОГНИТИВНАЯ РАДИООПТИКА | СОПТШЕШМУ RADIO OPTICS
Data Scientist Bootcamp capstone project
Machine Learning Using Python
This repository contains a Python implementation of a Multiple Linear Regression model to predict a company's profit based on various expenditures and the company's state.
Working with Imbalance Dataset for classification using SVM model
Predict and prevent customer churn in the telecom industry with this project. Leverage advanced analytics and ML on a diverse dataset to build a robust classification model. Gain a deep understanding of customer behavior and identify key factors influencing churn. Clone the repository, explore insights, and enhance customer retention startegies.
Data Analysis Project on Pulsar Stars
Exploring machine learning algorithms and approaches. I have implemented the famous ARIMA approach for time series analysis of stock price.
Machine Learning project with two main goals: predict chances of customer churn, and define main target groups.
*Developed a healthcare analytics system for Delhi, Mumbai, and Bangalore using Python, Machine Learning *Scraped data from practo.com and performed data cleaning and manipulation *Conducted EDA to obtain insights and built a machine learning model
Predictive HR model to reduce corporate attrition
Cyberbullying Detection App specifically designed for the Hinglish language, which is a combination of Hindi and English. The application utilizes various machine learning and deep learning algorithms fine-tuned for natural language processing and classification tasks.
Return over investment machine learning regression model
Bachelor Thesis, Lennart Keidel - Machine Learning in Games of Imperfect Information
A collection of functions that I use for my analysis and model building.
One stop solution to machine learning usecases
This portfolio is a series of projects I have worked on for academic purposes, and other projects done for self-study.