30-days-of-Machin[[handle_missing_data]]e-Learning

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DAY-01

• Prediction of AirBnB's Sotck Price Value Using Decision Tree Regressor and Random Forest Regressor Algorithm link
• Dataset link
• Share

DAY-02

• Basics for Machine Learning : Random number, Bootstraping, Correlation, Covarience, Data Distribution

DAY-03

• Started new Stock dataset BTC price evaluation
• The pandas of kaggle is running with the matplotlib all from its creator

DAY-04

• Learn the matplotlib.pyplot from creator documents

DAY-05

• Learn the seaborn, ann, svr and work on the BTC price data
• Bitcoin prediction: dataset : [link]
• collab link: link

DAY-06

• learn seaborn notebook added.
• collab link
• Blog Link: www.ukantjadia.me/blog

DAY-07

• Completed the Seaborn sample project.
• Google Colab Link: [link]

DAY-08

DAY-09

DAY-10

• learn EDA with covid data, take help from some other notes

DAY-11

DAY-12

DAY-13

• learn about data cleaning from linkedin

DAY-16

<script src="https://gist.github.com/ukantjadia/1ebc4e77b019242b0ccb2ebeca82a78b.js"></script>

DAY-17

• Completed the EDA project with Covid-19 data

DAY-18

DAY-19

• COVID-19 EDA Sample project is ready to post
• Dataset link: dataset
• notebook link: notebook
• website : ukantjadia.me

DAY-25

• internshala certificate link link

A little progress each day adds up to significant results!
I am Elated to share my recent accomplishment of completing the Data Science training from Internshala Trainings powered by Analytics Vidhya. I am thrilled to share my accomplishment with my network. I have gained a wealth of knowledge and hands-on experience in the field. I am excited to share my skills and make a positive impact through data-driven projects.


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