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analyzing-data-with-python

This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!

cv

Sachin More's curriculum vitae

esim

ftir

Data analysis on file systems using raw data obtained from the find command

genode64

64bit seL4 11.0.0 port to Genode

linear-regression

This week we’re covering linear regression with multiple variables. we’ll show how linear regression can be extended to accommodate multiple input features. We also discuss best practices for implementing linear regression.

logistic-regression

Logistic regression is a method for classifying data into discrete outcomes. For example, we might use logistic regression to classify an email as spam or not spam. In this module, we introduce the notion of classification, the cost function for logistic regression, and the application of logistic regression to multi-class classification. We are also covering regularization. Machine learning models need to generalize well to new examples that the model has not seen in practice. We’ll introduce regularization, which helps prevent models from overfitting the training data.

netscan

nmap-based network scanning GUI

neural-networks-learning

The Neural Network is one of the most powerful learning algorithms (when a linear classifier doesn't work, this is what I usually turn to), and this week's videos explain the 'backpropagation' algorithm for training these models. In this week's programming assignment, you'll also get to implement this algorithm and see it work for yourself.

neural-networks-representation

Neural networks is a model inspired by how the brain works. It is widely used today in many applications: when your phone interprets and understand your voice commands, it is likely that a neural network is helping to understand your speech; when you cash a check, the machines that automatically read the digits also use neural networks.

node-exporter-textfile-collector-scripts

nvmeof

regularized-linear-regression-and-bias-vs.-variance

router

sel4

seL4 with raspberry pi 4 support

siod

A minimalistic I/O driver for testing reliability of stable storage.

support-vector-machines

truenas-core-dashboards

Grafana Dashboards for TrueNAS

wc

Implements the UNIX wc command