Pinned Repositories
10-steps-to-become-a-data-scientist
📢 Ready to learn! ✌ you will learn 10 skills as data scientist: 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.
2018-cs109b
Harvard CS109b Public Repository
a-2017
Public Repository for cs109a, 2017 edition
adult
adult dataset
ai-project-fraud-detection
Credit card fraud detection using kafka,scikit,flask,cassandra
air-passengers-arima
ARIMA forecasts on the AirPassengers dataset built in Python and Tableau
Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Cookbook
The Data Engineering Cookbook
Machine-Learning-with-Python
Python codes for common Machine Learning Algorithms
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