Category: Machine Learning

Important notes on Time Series Forecasting

Before talking about time series forecasting, let us understand time series data and some of their properties. We will explore why time series data are different from non-time series data. Time series data are the continuous or discrete sequences of observations that are recorded over certain (usually same) interval of time. For example, the daily Read More

Commonly used machine learning algorithms. Part II(Probability for machine learning)

Probability for Machine Learning Many events are filled with uncertainties and randomness. But some events are more likely than the others. In that case, we speak about the probability. “What is the likelihood of an event occurring?” For example, what is the likelihood that it is going to rain today? The answer to this question Read More

Commonly used machine learning algorithms. Part I (Linear algebra for machine learning)

It is always a hassle for students and machine learning engineers to choose the best machine learning algorithm for their data model. As I mentioned in earlier posts, I prefer to follow Occam’s razor which states that “simplest algorithm is the best algorithm” and No free lunch theorem, which states that “there is not a Read More

Kaggle: The best place to learn data science and machine learning

Either you are a beginner or a proficient data scientist and/or machine learning engineer, there is always a lot to learn from Kaggle . Kaggle is a competition platform and provides us with variety of datasets. You can also read very interesting kernels written by many competitors. It is really helpful to understand different perspectives Read More