A data collaboration tool that eliminates data disorganization for small teams without any IT lift — Accept it or not, every data science/analytics team has faced difficulty in managing, organizing, and collaborating datasets that they are working on. DataLogz is a free web tool that offers a zero-implementation cost solution for data science and analytics teams to organize data without complicated IT procedures. …

Statistical concepts with examples, formula, and python code — Contents Estimate of Location Mean Trimmed Mean Weighted Mean Median Mode 2. Estimate of Variability Deviation Mean Absolute Deviation Median Absolute Deviation Variance Standard Deviation Interquartile Range 3. Correlation Understanding the dataset We will be using simple product details dataset which contains Product ID, Cost Price, and Selling Price to demonstrate various statistical methods.

The stable version of Python 3.9 is here — The stable version of Python 3.9.0 has been released on 5th October 2020. Let’s see the new major features. Dictionary Merging Consider two dictionaries having the same key-value pairs except one of the values in one dictionary. For example, a person's email id has been changed recently which is in a new…

All commonly used MySQL functions in one place with examples and a short explanation. — There are a ton of functions provided by MySQL and most of them are used extensively. I will be providing the most commonly used functions with a short description. The intension of the article is to provide one spot for all MySQL functions so that one can quickly go through…

Building web-based visualization in Python from scratch — Bokeh is a data visualization library in Python. It provides highly interactive graphs and plots. What makes it different from other Python plotting libraries is that the output from Bokeh will be on the web page, meaning if we run the code in python editor the resulting plot will be…

Are human data scientist’s really required? — dabl stands for Data Analysis Baseline Library. The idea behind dabl is to make supervised learning automated for reducing boilerplate for common tasks. Meaning, while building any predictive model the data has to be cleaned, analyzed, and run through many models with different parameter tuning to get the best accuracy…

Getting the most out of Matplotlib and Seaborn — CitiBike is New York City’s famous bike rental company and the largest in the USA. CitiBike launched in May 2013 and has become an essential part of the transportation network. They make commute fun, efficient, and affordable — not to mention healthy and good for the environment. I have got…

Advanced methods and function to crunch some data — Pandas is used mainly for reading, cleaning, and extracting insights from data. We will see an advanced use of Pandas which are very important to a Data Scientist. These operations are used to analyze data and manipulate it if required. …

Using the classic Titanic dataset to unleash the power of Pandas. — If you are already familiar with NumPy, Pandas is just a package build on top of it. Pandas provide more flexibility than NumPy to work with data. While in NumPy we can only store values of single data type(dtype) Pandas has the flexibility to store values of multiple data type…