This repository is just some "no tears" tutorials on data science topics. You will need Jupyter to get the examples to run. The easiest way to get Jupyter is to install Anaconda as described below.
To create a Conda environment, you need to install Anaconda. Note, for Windows, do not type in source activate ds but instead activate ds. Assuming you are in the cloned ds repository directory, you may type in the following.
conda create -n ds python=3.6
source activate ds
pip install -r requirements.txt
python -m ipykernel install --user --name ds --display-name "ds"Note that LibROSA requires a backend like ffmpeg. You will need to install that separately.
To remove the environment.
conda env remove -n ds --yes- Solve logistic regression problems with gradient descent through Autograd, no tears
- Solve poisson regression problems with gradient descent through Autograd, no tears
- Solve regression problems with gradient descent through Autograd, no tears
- Dirichlet-Multinomial distribution, no tears
- Generating normally distributed values, no tears
- Random Bayesian Network generation, no tears
- Gradient descent, no tears
- Kullback-Leibler divergence, no tears
- Latent semantic analysis, no tears
- Neural network, no tears
- Psuedo R^2 for logistic regression, no tears
- Regression with dummy variables, no tears
- Using a Recurrent Neural Network (RNN) to classify sine wave signals, no tears
- Neural Networks, gradient descent, and regression, no tears
- Restricted Boltzmann Machine
- Audio processing and classification
To convert a ipynb to html, type in the following jupyter nbconvert --to html --template basic [file.ipynb]. To make the generated html file compatible with WordPress, type in sed -e 's/\$\([^$]*\)\$/$latex \1$/g' [file.html] > [output.html].
Copyright 2018 Jee Vang
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
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See the License for the specific language governing permissions and
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