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building fun Machine Learning projects and practice skills like exploratory analysis, feature engineering, cross-validation techniques and machine learning algorithms

License: GNU General Public License v3.0

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ml_is_fun's Introduction

ml_is_fun

Let's build some fun Machine Learning projects and practice skills like exploratory analysis, feature engineering, cross-validation techniques and machine learning algorithms to better understand and have a hands on experience. We take the data from Kaggle and develop in a python notebook environment.

TOPICS: (I will update the list below as and when I create new projects)

1. Predict Youtube Video Likes👍🏽: [EDA+Baseline🕵]

   About the project:
   A regression problem where we have to predict `the like to view_count ratio` of youtube videos based on the title, description, thumbnail and additional metadata. 

2. 🧮 Digit Recognizer- Getting started with Tensorflow:

   About the project:
   Correctly identify digits from a dataset of tens of thousands of handwritten images from a curated set of MNIST dataset.

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