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
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
Data cleaning of a dataset about apartments in Moscow
Regression model to predict foreclosures in Los Angeles using macroeconomic features.
EDA Project on AI GENERATES ART
Plot data availabilty
A simple calculator to find the area of specified range under the normal distribution curve
Binary classification project for predicting client default risk using preprocessing, feature engineering and model comparison.
A data-driven analytics pipeline and machine learning model to evaluate Influencer Marketing ROI and optimize campaign performance.
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).
Complete Python course from basics to AI.
Machine Learning dashboard for predicting and optimizing hospital bed allocation using Random Forest, Streamlit and data analytics.
Assignments for Data Science Specialization by John Hopkins University on Coursera
Machine Learning model to predict phone addiction based on behavioral and usage features.
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).
Crime concentrates in hotspots due to offender routines, target availability, and neighborhood characteristics. Analysis uses density mapping, clustering (KDE, DBSCAN), and spatial regression to identify patterns. Time series models (SARIMA, LSTM) predict future crime for resource allocation.
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
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