Celebrating 1K Followers and 42 Referred Members on Medium
Thank you from the bottom of my heart!
I’m very excited to share this with you: I got 1K followers on Medium. Finally, I was able to build a true audience who really wants to read my articles.
Here are some interesting facts about my audience.
- 59% of my followers (about 590) are Medium members!
- 57 followers have subscribed to my email list!
- 42 are referred members!
Dear Medium members, referred members, followers, friends, publication editors and the Medium staff, thank you from the bottom of my heart for your continuous support!
I’ll continue writing for the next few years and publish my 2022 writing plan on the 1st of January.
At the beginning of 2021, I had only about 4500 monthly views for my contents. Now, I have over 60,000 monthly views! This is about a 13x times increase of the views over the year and it is a significant achievement for me in addition to getting 1K followers.
The most interesting fact is that, at the time of writing, I have 42 referred members who directly support my writing.
I write about Data Science, Machine Learning, Deep Learning and Technology. Here are some of my top-performing article series categorized under the Medium list feature. An article series is a collection of articles written on a specific topic.
1. 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!
2. Ensemble Techniques
Explore ensemble techniques: Go simple to complex, gain more powerful and accurate results.
3. Boosting Techniques
Explore boosting algorithms in ML with their Python implementations!
4. Addressing Overfitting
Find the solutions for the worst problem that most data scientists face: The Problem of Overfitting!
5. CatBoost’s Special Collection
Discover CatBoost’s unique features, CPU and GPU training!
6. XGBoost Article Series
This includes my articles on the XGBoost library and its applications.
7. NumPy Article Series
Start Python programming for data science and machine learning!
8. Pandas Article Series
Start learning Python data analysis and manipulation library!
9. Scikit-learn Article Series
This includes my articles on the Python Scikit-learn machine learning library and its applications.
10. Outlier Detection
Use statistical and machine learning techniques to detect unusual observations in your datasets.
I look forward to writing even more great articles in 2022. So, stay tuned and never miss a story again by subscribing to my email list. You’ll receive my stories in your email as soon as I hit the publish button.
If you’d like, you can sign up for a membership to get full access to every story I write and I will receive a portion of your membership fee.
See you in the next story.
As always, happy learning to everyone!
Rukshan Pramoditha
2021–12–20