This course is designed to help you learn Python from scratch, covering various skill levels from beginner to professional.
A placeholder for my work in word embeddings and knowledge graph representations
Data cleaning of a dataset about apartments in Moscow
Welcome to the Data Analysis Fundamentals & Problem Solving repository! This collection of assignments and projects is designed to enhance your skills in data analysis, statistics, and Python programming. The repository covers various aspects of data analysis, from basic statistical measures to complex data-driven modules. l
Regression model to predict foreclosures in Los Angeles using macroeconomic features.
EDA Project on AI GENERATES ART
Rainfall prediction using a tuned Random Forest (GridSearchCV) on weather station data — pressure, humidity, cloud cover, and wind. Built with scikit-learn; includes an honest evaluation of overfitting risk on a small dataset (234 samples).
A simple calculator to find the area of specified range under the normal distribution curve
Plot data availabilty
A repo made for predicting churned users using kaggle dataset: churn prediction S6E3 it contains the whole process done to get an AUC score of 91.2% on the competition
Binary classification project for predicting client default risk using preprocessing, feature engineering and model comparison.
Assignments for Data Science Specialization by John Hopkins University on Coursera
This is my collection of material for for a 400-level undergraduate course for Data Science students I made as an instructor. It aims to teach distributed data storage, computation and streaming systems using only freely available tools.
An end-to-end system for sentiment analysis, topic modeling, and summarization of customer feedback using Python and Hugging Face.
FreeCodeCamp Data Analysis Mini Project
Machine Learning model to predict phone addiction based on behavioral and usage features.
Complete Python course from basics to AI.
projekt transformacja
Neste projeto é apresentado um workflow para o desenvolvimento de análises de correlações entre variáveis quantitativas (discretas e continuas) e variáveis qualitativas (ordinal e nominal).
Add a description, image, and links to the data-sc topic page so that developers can more easily learn about it.
To associate your repository with the data-sc topic, visit your repo's landing page and select "manage topics."