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.
anomaly_detection
This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.
argo-workflows
Workflow engine for Kubernetes
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
CKA-K8S
data-science-complete-tutorial
Notebooks to learn data science - Videos https://www.edyoda.com/course/1416
Deep-Learning-For-Hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis)
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deploy-machine-learning-model
Dockerize and deploy machine learning model as REST API using Flask
Time-series-analysis-using-Python
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.
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