LINKS TO BOTH THE TASKS ARE PRESENT IN THE ARTICLE #1 My Journey into Machine Learning with JadBio MEDIUM LINK
This is a walk through of the process I took while working with Crop Recommendation Dataset using JabBio
In the modern era, where data-driven decision-making is key, farmers can harness the power of machine learning to optimize crop selection and increase agricultural productivity.
Predicting suitable crops for a farmer is a pivotal aspect of precision agriculture. In this article, I will take you through my journey of addressing this challenge using JadBio.
This is the landing page when I created a new project it asked for a project title and a brief project description
After the project is created, a dataset must be uploaded on the project page.
Once the dataset is uploaded, the dataset description shows up on the bottom of the page
File layout page allowed me to specify better data providing various features to include sample names, transpose data etc.
The Assign feature types page provides a deeper look into the dataset and gives the capability to filter data and switch to different feature types
This is the Analyze Data page where the dataset on which the analysis is to be performed was selected
On the outcome page, I selected the parameter that I wanted to be predicted in the analysis.
Lastly, I selected the kind of analysis that needed to be performed and the CPU performance I would like to see in the analysis
This was the progress page while the model was training
These were the details of the Analysis :
Selecting the best-performing model for better and more accurate results
Predicting outcomes based on manually entered values since I had no test set for the analysis
The results for manually entered values -
My journey into machine learning with JadBio has demonstrated how this powerful toolkit can be used to predict suitable solutions for a wide range of applications, enabling users to make informed decisions and optimize various processes. From data preprocessing and feature engineering to model selection and deployment, JadBio simplifies the entire machine-learning pipeline.
As industries across the board continue to embrace technological advancements, machine learning and tools like JadBio will play an increasingly pivotal role in shaping the future. Whether you’re a data scientist, a researcher, or a professional seeking to optimize decision-making in your field, JadBio offers a robust and user-friendly platform to harness the potential of machine learning.
#2 ML Implementations using PyCaret (All COLLAB files included in the folder with their respective CSV files)
[ML PYCARET COLLAB FILES](Link to your URL