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lakkaras's Projects

10-steps-to-become-a-data-scientist icon 10-steps-to-become-a-data-scientist

πŸ“’ Ready to learn! you will learn 10 skills as data scientist:πŸ“š Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

accelerate icon accelerate

All Demo's used during DataStax Accelerate talk: Lighting a Spark with Machine Learning and DSE

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

al-go-rithms icon al-go-rithms

:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/

algo-trading-1 icon algo-trading-1

Built a simple moving average crossover strategy on Quantopian's research and notebook environment

algo-trading-2 icon algo-trading-2

I originally intended to take up coding at UCI in order to develop a trading bot. This project is my final project (which I am doing by myself) for the coding bootcamp and the beginning of my long-term hobby. I intend to make this repo private after I meet some self-defined benchmarks.

algotrading-1 icon algotrading-1

Collection of algo trading stuff, mostly coded what i read in forums

amazon-redshift-modernize-dw icon amazon-redshift-modernize-dw

Can you set up a data warehouse and create a dashboard in under 60 minutes? In this workshop, we show you how with Amazon Redshift, a fully managed cloud data warehouse that provides first-rate performance at the lowest cost for queries across your data warehouse and data lake. Learn the steps and best practices for deploying your data warehouse in your organization. Also, learn how to query petabytes of data in your data warehouse and exabytes of data, without loading or moving, in your Amazon S3 data lake. Finally, learn how to easily migrate from traditional or on-premises data warehouses.

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