MLWhiz - Your Home for DS, ML, AI! - MLWhiz

Thinking of starting with Deep Learning,
Machine Learning and Data Science?

But don't know the path yet?

Start Learning with ME

Featured Courses

Deep Learning Specialization by Andrew Ng Go to Course

Coursera Plus - Unlimited access to 7,000+ world-class courses Go to Course

Machine Learning Specialization by Andrew Ng Go to Course

3 Programming concepts for Data Scientists

Programming Data Science 3 Programming concepts for Data Scientists

By Rahul Agarwal 09 December 2019

Algorithms are an integral part of data science. While most of us data scientists don’t take a proper algorithms course while studying, they are important all the same.

How to write Web apps using simple Python for Data Scientists?

Awesome Guides Data Science How to write Web apps using simple Python for Data Scientists?

By Rahul Agarwal 07 December 2019

A Machine Learning project is never really complete if we don’t have a good way to showcase it.

Demystifying Object Detection and Instance Segmentation for Data Scientists

Deep Learning Computer Vision Awesome Guides Demystifying Object Detection and Instance Segmentation for Data Scientists

By Rahul Agarwal 05 December 2019

I like deep learning a lot but Object Detection is something that doesn’t come easily to me.

How to find Feature importances for BlackBox Models?

Data Science How to find Feature importances for BlackBox Models?

By Rahul Agarwal 04 December 2019

Data Science is the study of algorithms. I grapple through with many algorithms on a day to day basis, so I thought of listing some of the most common and most used algorithms one will end up using in this new DS Algorithm series .

The Simple Math behind 3 Decision Tree Splitting criterions

Data Science Awesome Guides The Simple Math behind 3 Decision Tree Splitting criterions

By Rahul Agarwal 12 November 2019

Decision Trees are great and are useful for a variety of tasks.

P-value Explained Simply for Data Scientists

Data Science Awesome Guides P-value Explained Simply for Data Scientists

By Rahul Agarwal 11 November 2019

Recently, I got asked about how to explain p-values in simple terms to a layperson.

Adding Interpretability to Multiclass Text Classification models

Data Science Natural Language Processing Adding Interpretability to Multiclass Text Classification models

By Rahul Agarwal 08 November 2019

Explain Like I am 5. It is the basic tenets of learning for me where I try to distill any concept in a more palatable form.

The 5 Classification Evaluation metrics every Data Scientist must know

Awesome Guides Data Science The 5 Classification Evaluation metrics every Data Scientist must know

By Rahul Agarwal 07 November 2019

What do we want to optimize for? Most of the businesses fail to answer this simple question.

4 Graph Algorithms on Steroids for data Scientists with cuGraph

Data Science 4 Graph Algorithms on Steroids for data Scientists with cuGraph

By Rahul Agarwal 06 November 2019

We, as data scientists have gotten quite comfortable with Pandas or SQL or any other relational database.

Automate Hyperparameter Tuning for your models

Data Science Automate Hyperparameter Tuning for your models

By Rahul Agarwal 10 October 2019

When we create our machine learning models, a common task that falls on us is how to tune them.

1
2
3
6
7
8
13