# Fitwrap

Usage of fitwrappar package. Fit in one line of code.

# Matplotlib

Collection of matplotlib examples. Collection of common arguments for plotting functions.

# Pandas cheat-sheet

Collection of common ideas to work with Pandas dataframes.

# Colab Snippets

Collection of google colab snippets for ML.

# Bayesian Opt

Example of Bayesian optimization for hyper-parameters tuning.

# Feature selection

Collection of dimensionality reduction algorithm from sklearn.

# Pandas groupby

Groupby, filter, aggregate, transform & apply.

# Geopandas

Use geographic data to plot informations from a panda dataframe.

# Simple EDA

Python snippet to perform a simple explorational data analysis on a dataframe.

# k-armed bandit

Exploiting reinforcement learning strategies to tackle the k-armed bandit problem.

# VAE

Example of Variational Auto Encoder using MNIST dataset.

# Monte Carlo for RL

Simple code for three Monte Carlo methods for RL (exploring starts, epsilon-greedy, off-policy).

# Data scaling

Collection od normalizations and standardizations techniques.

# Histogram sampling

Sample from unknown 1D or 2D distributions using histograms.

# Autoencoders

Simple denoising autoencoder neural network.

# Matplotlib gif

Create gif animation with matplotlib.

# Iterative policy

Solving a simple maze problem exploiting iterative policy evaluation method.

# DeepMouse

Thought processes behind the development of a neural network.

# Pyspark intro

A few pyspark examples on Databricks and Google Colab.

# Numpy

Collection of notes about the numpy library.

# Scipy: solve ODE

Solving the quarter car model system using scipy.

# NN from scratch

Simple implementation of neural network with genetic evolution from scratch (numpy only).

# Griddata

Interpolate 2D data-points to a given coordinate grid.

# Jupyter imports

List of standard data analysis imports and magics.

# Plot live update

Jupyter live plot update and random walk demonstration.

# X-ray PNX

Diagnosis and localization of PNX problem from X-ray images using U-net.

# Text progressbar

Simple implementation of a text progressbar.

# ST3 key bindings

Custom key bindings for Sublime Text editor.

# SARSA and Q-learn

Usage examples of Q-learning and SARSA algorithms.

# Pandas merge

Merging pandas dataframe for dummies.

# Data exploration

Common utilities for preliminary data exploration.

# ML snippets

Common function for data preparation.

# Torch tensorboard

Example of tensorboard in a pytorch project.

# Train generator

Blueprint of a python generator to train machine learning models.

# Feature importance

Feature importance using random forest and permutation importance.

# Sort lists

Sort more than one list together.

# Unix commands

A list of usefull unix commands

# TFlite setup

Setup of tensorflow, tensorflow lite and coral usb accelerator on Ubuntu.

# Argparse

Parse command line arguments in python.

# Chow statistics

Simple method to find discontinuities in lineardata.