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Published in Towards Data Science

·Pinned

Are You Too Late to Start Your Data Science Journey?

I thought I was. — It has been almost three years since I took my first step into data science. When I first started, I thought I was too late. There were a lot of tools and concepts to learn, a ton of papers to read, countless certificates, and so on. What concerned me the…

Python

5 min read

Are You Too Late to Start Your Data Science Journey?
Are You Too Late to Start Your Data Science Journey?

Published in Towards Data Science

·Pinned

4 Python Pandas Functions That Serve Better With Dictionaries

Make more use of Pandas. — Pandas is arguably the most popular data analysis and manipulation library in the data science ecosystem. First and foremost, it is easy to learn and offers an intuitive syntax. With that being said, we will focus on a different great feature of Pandas: Flexibility. The capabilities of Pandas functions can…

Python

4 min read

4 Python Pandas Functions That Serve Better With Dictionaries
4 Python Pandas Functions That Serve Better With Dictionaries

Published in Towards Data Science

·4 days ago

4 FAQ About Date-Time Manipulation with Pandas

Explained with examples — Pandas library is quite efficient with time series data. In fact, it was created by Wes McKinney to work with financial data which essentially consists of time series data. When working with time series data, a substantial amount of time is spent on date and time manipulation. …

Data Science

5 min read

4 FAQ About Date-Time Manipulation with Pandas
4 FAQ About Date-Time Manipulation with Pandas

Published in Towards Data Science

·Jun 15

3 Functions to Use with Pandas Groupby That You Probably Don’t Use

Discover more about Pandas — When it comes to data analysis with Pandas, groupby is one of the most frequently used functions. It allows for grouping the data points (i.e. rows) based on the values in the given column or columns. Consider you have a car dataset and want to compare car brands based on…

Data Science

4 min read

3 Functions to Use with Pandas Groupby That You Probably Don’t Use
3 Functions to Use with Pandas Groupby That You Probably Don’t Use

Published in Towards Data Science

·Jun 9

3 Challenges for ML Models in Production

These should not be overlooked. — A big portion of machine learning (ML) models never make it into production. It is one thing to create a model in a Jupyter notebook but deploying it into production and maintaining it as a continuous service is another world. …

Data Science

4 min read

3 Challenges for ML Models in Production
3 Challenges for ML Models in Production

Published in Geek Culture

·May 25

How to Write SQL Window Functions with Python Pandas

Explained with examples. SQL window functions are great tools for data analysis. What they basically do is to perform a calculation across a group of rows that are somehow related. Consider we have a table that contains a list of employees along with their department and salary. …

Data Science

5 min read

How to Write SQL Window Functions with Python Pandas
How to Write SQL Window Functions with Python Pandas

Published in Towards Data Science

·May 19

5 Questions to Consolidate Your Knowledge of Python Lists

Picked from Stackoverflow — Python has 4 built-in data structures: List, Tuple, Set, and Dictionary. These data structures are extremely important even if you are using Python for data science. All of them are essentially a collection of data. However, there are differences among them which make each data structure unique. For instance, lists…

Python

4 min read

5 Questions to Consolidate Your Knowledge of Python Lists
5 Questions to Consolidate Your Knowledge of Python Lists

Published in Towards Data Science

·May 12

3 Not-So-Common Pandas Tricks You Should Know

Making the most out of Pandas — If you are reading this article, you must have heard of or used Pandas. Thus, I’m skipping the part where I talk about how great Pandas is. 😊 In this article, we will go over examples that demonstrate some of the not-so-commonly used Pandas features. …

Data Science

4 min read

3 Not-So-common Pandas Tricks You Should Know
3 Not-So-common Pandas Tricks You Should Know

Published in Towards Data Science

·Apr 29

From Jupyter Notebooks to Real-life: MLOps

Why is it a must-have? — My first data science project was a machine learning model that predicts used car prices. The main steps of the project were: Scraping used-car ads on a website Cleaning and preprocessing the scraped data Exploratory data analysis Model creation Model evaluation The end result was quite satisfactory with an R-squared…

Data Science

4 min read

From Jupyter Notebooks to Real-life: MLOps
From Jupyter Notebooks to Real-life: MLOps

Apr 25

1 Line of Seaborn is What Need for Data Visualization

Simplicity takes you to efficiency. Data visualization is basically a graphical representation of data. It is frequently used in different parts of data science workflows. In exploratory data analysis, we use data visualizations to understand the relationships between variables. …

Data Science

5 min read

1 Line of Seaborn is What Need for Data Visualization
1 Line of Seaborn is What Need for Data Visualization
Soner Yıldırım

Soner Yıldırım

Data Scientist at Wander | linkedin.com/in/soneryildirim/ | twitter.com/snr14

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