Author name: Dr. Shripad Bhat

Train-Test split and Cross-validation Building an optimum model which neither underfits nor overfits the dataset takes effort. To know the […]

Occam’s Razor, Bias-Variance Tradeoff, No Free Lunch Theorem and The Curse of Dimensionality In this post, let us discuss some

“A picture is worth a thousand words” A complex idea can be understood effectively with the help of visual representations.

Scales of Measurement – Data types: Nominal, Ordinal, Interval and Ratio scale There are four measurement scales: Nominal Ordinal Interval

Autoregressive Integrated Moving Average (ARIMA) is a popular time series forecasting model. It is used in forecasting time series variable

Components of Time Series In this post, let us explore the four components of time series data. Trend (T) Cyclicality

Handling Missing Values in Python In this post, we will discuss: How to check for missing values Different methods to

Data Preprocessing – Creating Dummy Variables and Converting Ordinal Variables to Numbers with Examples Data cleaning is a critical step

Confusion Matrix, Accuracy, Precision, Recall, F score explained with an example In this post, we will learn about What is

Building a Deep Learning Model using Keras In this post, let us see how to build a deep learning model

Deep learning is a powerful machine learning technique. These are widely used in Natural Language Processing (NLP) image/speech recognition robotics