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Why I created experiencedatascience.com

Bringing the power of data science to everyone — I am the creator of experiencedatascience.com. Here is the story on why I created it. I believe that anyone who is dealing with data should leverage the power of data science. A data scientist has the privilege of knowing data science techniques by the very nature of her or his…

Data Science

8 min read

Why I created experiencedatascience.com
Why I created experiencedatascience.com

Published in Towards Data Science

·Pinned

Non-Linear Correlation Matrix — the much needed technique which nobody talks about

Why correlation matrix is over-used and why you need a non-linear correlation matrix — Even though there are uncountable data science techniques and algorithms, sometimes you still have the feeling that something is missing. One such thing which is missing or not much talked about is a non-linear correlation matrix. We are used to the famous correlation matrix. However, in this article, you will…

Data Science

5 min read

Non-Linear Correlation Matrix — the much needed technique which nobody talks about
Non-Linear Correlation Matrix — the much needed technique which nobody talks about

Published in Towards Data Science

·Jun 9

Top 3 Non-Machine Learning Skills to Rise in Kaggle Competitions

Data, creativity, and tactic will make you climb the leaderboard — This may sound counter-intuitive. But the key skill which will give you an edge over others in machine learning competitions like Kaggle may not be machine-learning. Your knowledge of machine-learning algorithms is just the base skill that you need in Kaggle. Applying different algorithms, ensemble, and hyperparameter optimization is of…

Data Science

7 min read

Top 3 non-machine learning skills to rise in Kaggle competitions
Top 3 non-machine learning skills to rise in Kaggle competitions

Published in Towards Data Science

·May 30

How to Ace the missing value replacement problem

Top 5 Pro-tips for solving the most common problem in data science — Missing value replacement may sound trivial, but it may be the most important step in the machine learning process. The way in which you do it can have a big impact on your machine learning model. In addition, as you will be creating some new data, you have some essential…

Data Science

8 min read

How to Ace the missing value replacement problem
How to Ace the missing value replacement problem

Published in Towards Data Science

·May 21

Nearest-neighbor missing visuals revealed

How to analyze and interpret KNN results with cutting-edge visuals — The unsupervised K- Nearest Neighbour (KNN) algorithm is perhaps the most straightforward machine learning algorithm. However, a simple algorithm does not mean that analyzing the results is equally simple. As per my research, there are not many documented approaches to analyzing the results of the KNN algorithm. …

Data Science

4 min read

Nearest-neighbor missing visuals revealed
Nearest-neighbor missing visuals revealed

Published in Towards Data Science

·May 8

Spotlighting: A Visual Approach to Precise Clustering Interpretation

On spotlights, radar charts, and how to make sense of your clusters — Understanding the meaning of clusters is maybe more important than making the clusters. The process of making clusters is more mathematically oriented, however, interpreting clusters is not straightforward. In this story, you will see a visual approach to interpreting clusters. The visual approach described here uses two visual techniques —…

Data Science

6 min read

Spotlighting — a visual approach to precisely interpret the clustering
Spotlighting — a visual approach to precisely interpret the clustering

Published in Towards Data Science

·Apr 11

Micro-Outlier Removal: Climb High in Kaggle with Minimum Effort Using This Technique

How I made a big jump with minimum effort in the Kaggle Titanic challenge leaderboard using micro-outlier removal — I experienced something amazing. I climbed 8000 ranks on the Kaggle Titanic competition leaderboard in just a few attempts and in 10 minutes. And here is more amazing news. I did it with minimum effort. I did not do feature engineering. I did not fill in the missing values. I…

Data Science

5 min read

Micro-Outlier removal: climb high in Kaggle with minimum effort using this technique
Micro-Outlier removal: climb high in Kaggle with minimum effort using this technique

Published in Towards Data Science

·Apr 2

Stacked Data Exploration — A New and Advanced Way to Explore Your Data

Get started with limitless possibilities of stacked data exploration — “Innovation is taking things that exist and using them in a new way” — Tom Freston, Co-founder of MTV In this story, let me introduce you to stacked data exploration, which is a new and advanced way to explore your data. As per my research, the term stacked data exploration…

Data Exploration

6 min read

Stacked Data Exploration — a new and advanced way to explore your data
Stacked Data Exploration — a new and advanced way to explore your data

Published in Towards Data Science

·Mar 19

You will need more than just a Word-Cloud

Top 5 techniques to analyze words — No matter what anybody tells you, words and ideas can change the world.” -John Keating Words are the building blocks of any text or document, and analyzing these building blocks gives you insights into the text. In this story, I will demonstrate top word analytic techniques. …

Data Science

5 min read

You will need more than just a Word-Cloud
You will need more than just a Word-Cloud

Published in Towards Data Science

·Mar 12

Automate Your Histograms

Ways to automatically select the number of bins — The old-fashioned way to create histograms is to specify the number of bins manually. The intelligent way is to use an estimator or algorithms to select the number of bins automatically for you. There are various techniques to automate the number of bins. In this article, I will list the…

Data Science

4 min read

Automate Your Histograms
Automate Your Histograms
Pranay Dave

Pranay Dave

Creator of experiencedatascience.com : Your no-code platform to learn datascience

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