This is Analixa, a Data Science School that is aimed to simplify the concepts of Python, Data Analysis, Machine Learning, and Deep Learning.

  • So, which ML Algorithm to use?!

    Selecting the best ML for a dataset can always be challenging. In this post, we will try reveal a lot of the ambiguity related to that!

    May 17, 2022

  • Generative Adversarial Networks (GANs)

    Generative Adversarial Networks are used to generate images that never existed before. They learn about the world (objects, animals and so forth) and create new versions of those images that never existed. In this tutorial, we will go through the basics of GANs

    Mar 18, 2022

  • GPT-3, The Model Simply Knows!

    GPT-3 is one of the greatest leaps in the area of NLP. In this post, we will try to go through the basics of the algorithm and how it is working.

    Mar 8, 2022

  • Text Preprocessing | NLP 1

    In this tutorial, I tried to demonstrate the basic concepts of `preprocessing` for natural text starting from `stopwords removal`, `lowering`, and `lemmetization`.

    Feb 7, 2022

  • Titanic | The Power of Sklearn

    Sklearn is the most powerful package in all ML libraries but, do you really use it to the fullest?! In this notebook, we will try to investigate deep concepts such as ColumnTransformers, Piplines, and much more.

    Feb 5, 2022

  • Choosing Best n_estimators for RandomForest model without retraining

    RandomForest is always an easy-to-go algorithm but determining the best n_estimators can be very computationally intensive. In this tutorial, we will find a way to detrmine the best n_estimators without retraining.

    Feb 5, 2022