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advanced-regression-techniques-for-ames-housing-data-prediction

Prediction of Ames house prices using advanced regression techniques and ML algorithms.

chayansraj

May the code be with you!

cifar10-competition_model

Keras implementation of a model for the in-class competition in Neural Networks and Learning Systems course at Linköping Univerity, spring 2022.

data-pipeline-with-dbt-using-airflow-on-gcp

This project demonstrates how to build and automate an ETL pipeline using DAGs in Airflow and load the transformed data to Bigquery. There are different tools that have been used in this project such as Astro, DBT, GCP, Airflow, Metabase.

data-science-apache-spark-databricks-etl-project

Using Databricks to build multiple end-to-end ETL pipelines using PySpark

dbt_learn_fundamentals

dbt is a SQL-first transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation.

end-to-end-machine-learning

The idea of this project is to apply statistical methods learned in university lectures to find patterns in the data and use machine learning to solve a supervised classification problem

gpt-and-langchain-for-data-analysis

h3-py-notebooks

Jupyter notebooks for h3-py, a hierarchical hexagonal geospatial indexing system

linhac-2022-data-science-student-competition

Linköping Hockey Analytics Conference - LINHAC 2022 | Given the event data, generate findings/patterns related to sequences of events leading up to a particular outcome.

microsoft-azure-medallion-data-pipeline

In this project we are going to create an end-to-end data platform right from Data Ingestion, Data Transformation, Data Loading and Reporting.

ml-clustering-soft-drink-preferences

The aim is to perform cluster analysis to identify grouping by cases of data based on the similarity of shares.

neural-networks-and-learning-systems

Solving problems using different machine learning algorithms. Machine learning, classification, pattern recognition and high-dimensional data analysis.

prediction-of-used-car-prices-using-various-regression-techniques

It is a work on a regression problem in which our objective is to predict the prices of used cars given a number of features/predictors about them

python-etl-pipeline-using-airflow-on-aws

This project demonstrates how to build and automate an ETL pipeline written in Python and schedule it using open source Apache Airflow orchestration tool on AWS EC2 instance.

snowflake-data-ingestion-hands-on-tutorial

This repo covers the two most widely used and recommended file based data ingestion approaches: COPY INTO and Snowpipe.

sql-data-analysis-projects

The goal is to learn and perform hands-on SQL to analyze different types of datasets. All the SQL queries are written in Google BigQuery which is a serverless, distributed SQL Query engine. The projects go from Basic level to Advanced level.

text-mining

Notebooks for the course 732A92/TDDE16 Text Mining

text-mining-research

Text Mining develops methods for accessing information in and extracting knowledge from large volumes of text. The purpose of this repository is to research on classification of fake/real news on a dataset obtained from kaggle

vision-transformer-research

The purpose of this research project is to compare traditional CNNs to vision transformers, can transformers give a higher AUC when classifying Atypical Femoral Fracture / Normal Femoral Fracture?

youtube-video-data-analytics-using-aws

This project aims to leverage Amazon Web Services to create trending Youtube videos analytics service. Project contains different data engineering, data analysis and data science parts.