My Most Popular Article Series

Now, find your favorite topics in one place and learn in depth!

Photo by Omid Armin on Unsplash (Modified by author)

Hi again! I’m happy to say that I’ve started to write series of articles that cover the most important topics in depth. For your convenience, I’ve arranged them under a few different categories. I invite you to start exploring them!

1. Neural Networks and Deep Learning Course

Learn from the basics with a hands-on approach by using Python, NumPy, TensorFlow and Keras. So, everyone can understand!

Neural Networks and Deep Learning Course (Screenshot by author)

2. Boosting Techniques

Explore boosting algorithms in ML with their Python implementations!

Boosting Techniques (Screenshot by author)

3. CatBoost’s Special Collection

Discover CatBoost’s unique features, CPU and GPU training!

CatBoost’s Special Collection (Screenshot by author)

4. Addressing Overfitting

Find the solutions for the worst problem that most data scientists face: The Problem of Overfitting!

Addressing Overfitting (Screenshot by author)

5. Dimensionality Reduction

Find the ways to reduce the size of your dataset while keeping as much of the variation as possible and other benefits of dimensionality reduction!

Dimensionality Reduction (Screenshot by author)

6. NumPy Article Series

Start Python programming for data science and machine learning!

NumPy Article Series (Screenshot by author)

7. Pandas Article Series

Start learning Python data analysis and manipulation library!

Pandas Article Series (Screenshot by author)

I want to hear from you!

I always do my best to write and organize my contents in a way that you can get the most out of them and learn something new. There should be many ways to further improve my contents. So,

Please let me know if you’ve any feedback

I’d like to thank you from the bottom of my heart!

My audience is growing and reads are increasing day by day! This is because of readers like you. I’d like to thank you from the bottom of my heart!

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Thank you so much for your continuous support! See you in the next story. Happy learning to everyone!

Special credit goes to Omid Armin on Unsplash, who provides me with a nice cover image for this post (I did some modifications to the image: added some images on it).

Rukshan Pramoditha
Last updated: 2021–12–31