libs for ds

Predicted mental health and discovered its association with population density, income, water, and land features using machine learning models.

tasks from Data Workshop

corenlp basic example

Course included such topics, as Data Preprocessing, Exploratory Data Analysis (EDA), Statistical Data Analysis (SDA), Data Collection and Storage (PostgreSQL), Business Analytics, Making Business Decisions Based on Data (Hypotheses testing), How to Tell a Story Using Data (Presentation and Data Visualization - Maplotlib, Seaborn, Plotly), Automa…

Config files for my GitHub profile.

Performance Predictions of Spark Jobs with Machine Learning Tasks Using Various Artificial Intelligence Models

A Machine-Learning Model to Predict the Patient diagnosis based on the given features from a dataset.

I used lending data to create machine learning models that classify the risk level of given loans. Specifically, I compared the performance of the Logistic Regression model and the Random Forest Classifier.

Moscow hackathon 2022. Task: development of a service for calculating the price of real estate. Result: 2nd place

Kohanen SOM using ANN to identify clustering of amplitude roughness parameters

A Text Generation AI made with Tensorflow

Band Gap Prediction for low-dimensional antimony(III) and bismuth(III) halides with 1D-anions.

This repo was made to work on the creation of my master thesis

This is my internship project as a MACHINE LEARNING Intern at Bharat intern company Task-1 Iris Flowers Classification

Using SparkSQL, determined key metrics about home sales data. Then, I used Spark to create temporary views, partition the data, cache and uncache a temporary table, and verify that the table has been uncached.

this azure app uses mashine learning to find a website you are looking for with just a prompt

Telegram-бот, который помогает администратору салона взаимодействовать с клиентами

Developing ML model predicting bank' customer inclination to open a deposit