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Part 3 - is all about deployment, where using MLFlow and FastApi we will deploy the model into a WebAPI and serve it with Mogenius, a Virtual DevOps platform. Problem statement: My friend is on the job market. However, they keep wasting time applyin...
Part 2 - is about the setup of DagsHub, DVC, and MLFlow to create a version-controlled data science project, as well as tracking experiment parameters and metrics, and comparing experiments. Problem statement: My friend is on the job market. However...
Part 1 - is all about getting to know the Dataset using Exploratory analysis, cleaning data, choosing the metrics, and doing the first model prediction experiments. Problem statement: My friend is in the job market. However, they keep wasting time a...
This story was created using this notebook. Introduction As a data scientist, you want to share your work with others and reach a larger audience. Medium is a popular platform for this purpose, but it has limitations when it comes to data representat...
Generated by jupyter2hashnode using a Jupyter Notebook Example notebook #codepython import pandas as pd import matplotlib.pyplot as plt #codepython data = { 'fruits' : ['apple', 'blueberry', 'cherry', 'orange'], 'counts' : [40, 100, 30, 55],...
