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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