A way to increase the amount of data and make the model more robust — Lately, while working on my research project, I began to understand the importance of image augmentation techniques. The aim of this project is to train a robust generative model able to reconstruct the original images. The problem addressed is anomaly detection, which is quite challenging since there is a small…

A simple and funny way to convert a video to GIF using MoviePy and Streamlit — A few months ago I experimented with a lot of websites to convert the videos into gifs, but I didn’t find any satisfactory solution to edit and convert the video without becoming crazy. Suddenly, I discovered MoviePy, a python library specialized in video editing. …

A demonstration of this platform can help you to track your model results efficiently — This article is in continuation with the story An intuitive Guide to Track your ML Experiments using MLflow. In the previous post, I introduced MLflow, an online source platform that allows saving the hyperparameters and metrics of your model. The only drawback I found is that it doesn’t provide an…

An overview to clone a repository, push changes, and make pull requests in VS code — For a lot of time, I updated my GitHub repository by simply inserting the files. But doing this can waste a lot of time when you have to repeat the same operation more than one time and when you are working with other people…

A brief overview of an interactive package to manipulate Covid-19 Vaccine Data — If you have worked with real data in Python, you surely have noticed that data manipulation and data cleaning takes most of your time, even up to 70% of the time. …

Helping you on improving the reproducibility, management and tracking of experiments for your Sklearn model — I have lost a lot of time running my Jupiter notebook to build a Machine Learning model with the best performances. The best solutions depended mostly on a particular combination of hyperparameters and it was hard to memorize all the experiments I have tried…

How to work with Dataloaders and Datasets for Deep Learning — The post is the second in a series of guides to build deep learning models with Pytorch. Below, there is the full series: Part 1: Pytorch Tutorial for Beginners Part 2: Manipulating Pytorch Datasets (this post) Part 3: Understand Tensor Dimensions in DL models Part 4: CNN & Feature visualizations …

A website that summarizes efficiently your skills, your Data Science projects and your past experiences — Have you ever thought to build your own portfolio website? LinkedIn, Github and the standard CV may seem enough to summarize your abilities and your past experiences, but they are at the same time indirect and dispersive because they don’t contain all the information about you and, consequently, you put…

An important process for extracting valuable information from your dataset — This article is in continuation with the story Master the basics of R Programming. In the first post, I introduced the building blocks of R that will help you to orientate with this language. It’s really intuitive to understand and learn. In this post, I am going to focus on…