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If you're interested in learning how to get the most out of XGBoost then this course is for you. I've just finished it. XGBoost is the most winning model on ...

Yep. It's free. I just made this course free. It's all about matplotlib and other tools you'll need to make sense of your data as a machine learning engineer...

The last hurdle to a career in applied machine learning is the technical interview, and it's a big one. Let's take a look at a few questions from my upcoming...

Statistics and machine learning are two very closely related fields. The line between the two can be very blurry at times. Nevertheless, there are methods tha...

Book excerpt from Acing the Machine Learning Interview (coming soon) Since you may not know when to expect the telephone interview, it is critical that you d...

The Titanic model was a binary classification problem. The answer was either yes or no which in machine speak was a 1 or a 0. The next model we will build is...

Bagging is used when the goal is to reduce variance. The idea is to create several subsets of data from training samples chosen randomly. Each collection of ...

Now that we have a high-level understanding of how decisions trees operate, let’s learn how they are combined in order to make the model more accurate. Ensem...

Python has become the gold standard for applied machine learning. Currently, there are more job openings for data scientists and machine learning engineers t...

The machine learning engineer is the top job in the world and that trend will likely continue for quite some time. The pic below is from Indeed, a popular j...

In the real-world data is dirty. Massaging data into the best state possible for modeling is called data wrangling. Let’s wrangle the Titanic dataset to see...

XGBoost is a supervised machine learning algorithm. That means all the models we build will be done so using an existing dataset. XGBoost only accepts numeri...

Gradient boosting is a power technique for building predictive models. Gradient Boosting is about taking a model that by itself is a weak predictive model an...

The skills you'll need to excel as a machine learning engineer are wide and deep. One of the most stressful events for a machine learning engineer is the tec...

Once your data is in an array the next step will be massaging the data into the best possible state for modeling. This includes but not limited to removing u...

There are three core highly technical roles in this space. The explosion in data science has created and redefined several careers. Data science and machine ...

Machine learning data is represented by arrays. The core data object in machine learning is the array. Machine learning data is represented by arrays. The co...

In order to understand machine learning you'll need to understand the machine learning hierarchy. The umbrella for all things machine learning is artificial ...

The two primary languages used in applied machine learning today are SQL and Python. There's no way around it. If you want to work in the real world as a mac...

Machine learning is very process oriented. Data scientists and machine learning engineers follow the same core steps every time they are presented with a pro...