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Machine learning application in Finance using recurrent neural networks and reinforcement learning.
Repository for ML model deployment
Collection of mini-projects on analysis of the quality of data.
Set of Data Analytics projects implemented in Python and R.
Customer analytics using SQL inside a Jupyter notebook.
Repositories
10Machine learning application in Finance using recurrent neural networks and reinforcement learning.
No description provided.
Collection of mini-projects on analysis of the quality of data.
Repository for ML model deployment
Set of Data Analytics projects implemented in Python and R.
Customer analytics using SQL inside a Jupyter notebook.
Exploratory data analysis on Covid-19 data using R and its libraries.
Sentiment analysis using pre-trained neural networks based on transformers.
User segmentation using a sort of classifiers (some quite uncommon like the Fuzzy K-Nearest Neighbours).
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.